##### The Problem of Optimal Asset Allocation with Stable Distributed Returns
... mean variance analysis, safety-first analysis. ... "The Efficiency Analysis of Choices Involving Risk," Review of ... "The classification of parametric choices under uncertainty: analysis of the portfolio choice problem," Theory and Decision, ... "Safety-First, Stochastic Dominance, and Optimal Portfolio Choice," Journal of Financial and Quantitative Analysis, Cambridge ... "Acknowledgment: Kinks on the Mean-Variance Frontier," Journal of Finance, American Finance Association, vol. 40(1), pages 345- ...
https://ideas.repec.org/p/cdl/anderf/qt3zd6q86c.html
##### Doing Bayesian Data Analysis: ANOVA with NON-homogeneous variances: An example where it matters.
There are four groups with apparently quite different variances. For these data, Groups 2 and 3 have small variances, and ... Simultaneously, the estimated variances of Groups 1 and 4 will be too small. Consequently, the estimated means of Groups 1 and ... Exercise 18.3 (p. 513) has you consider an ANOVA model that does not assume that every group has the same underlying variance. ... But groups 1 and 4 have large variances, so if the model is forced to accommodate all four groups simultaneously with a single ...
http://doingbayesiandataanalysis.blogspot.com.ar/2011/04/anova-with-non-homogeneous-variances.html
##### Varianceanalysis of L2 model reduction when undermodeling - the output error case - Semantic Scholar
Variance analysis of L2 model reduction when undermodeling - the output error case' by Fredrik Tjärnström ... Variance analysis of L2 model reduction when undermodeling - the output error case. *. Fredrik Tjärnström ... article{Tjrnstrm2003VarianceAO, title={Variance analysis of L2 model reduction when undermodeling - the output error case}, ... Model-based and data-driven model-reference control: a comparative analysis. *Simone Formentin. , Klaske van Heusden. , Alireza ...
https://www.semanticscholar.org/paper/Variance-analysis-of-L2-model-reduction-when-under-Tj%C3%A4rnstr%C3%B6m/034c5d8c50dd3cb7dda07dbfc7a2fb67c7650de6
##### VarianceAnalysis
Then there are the actual variances themselves and while I have the formulas they don't. ... Analysis of Variance and SS Between. An analysis of variance produces SSwithin = 40 and SStotal = 70. In this analysis, what is ... Probability: Analysis of Variance. How would you explain the analysis of variance, assuming that your audience has not had a ... Describe variance analysis and conclusions from them. How do you describe and illustrate variance analysis and what type of ...
##### Analysis of Variance/ANOVA Tutorial | Sophia Learning
This lesson will introduce analysis of variance/ANOVA and test statistic F.,/span,,/p, ... We explain Analysis of Variance/ANOVA with video tutorials and quizzes, using our Many Ways(TM) approach from multiple teachers ... Analysis of Variance (ANOVA) A hypothesis test that allows us to compare three or more population means. ... This tutorial will cover tests for more than two population means and the process for analysis of variance. You're going to ...
https://www.sophia.org/tutorials/analysis-of-varianceanova-2
##### Analysisvariance and covariance how choose and construct models life sciences | Quantitative biology, biostatistics and...
Analysis of Variance and Covariance. How to Choose and Construct Models for the Life Sciences. \$136.00 (P). ... Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap ... Introduction to analysis of variance. Introduction to model structures. Part I. Model Structures:. 1. One-factor designs. 2. ... "This is an authoritatively written book aimed at people who already have a good grasp of analysis of (co)variance using fixed ...
##### Definitions and varianceanalysis 2010 | Yara International
Yara's management also uses a variance analysis methodology, developed within the company ("Variance Analysis"), which involves ... Management considers the estimates produced by the Variance Analysis, and the identification of trends based on such analysis, ... Definitions and variance analysis 2010. The fertilizer season in Western Europe referred to in this discussion starts July 1 ... in the condensed consolidated interim statement of income and are referenced in the variance analysis (see below) as "Special ...
http://yara.com/investor_relations/annual_report_archive/2010/financial_md_a/definitions_and_variance_analysis/
##### Analysis of Variance
... is the standard statistical technique for modeling a quantitative response variable ... Fit a model using the appropriate function. Analysis of variance models are fit with the S-PLUS function aov. . This example ... The textbook gives examples in Chapter 10 on fitting many statistical models including analysis of variance. The same basic ... Now that the data is all properly stored in a data frame, we are ready to begin the analysis. Any analysis should begin with a ...
http://www.stat.wisc.edu/~larget/math496/anova.html
##### Perform two-way analysis of variance
... and 3D maps and the Solver and Analysis ToolPak add-ons. Learn to calculate mean, variance, standard deviation, and correlation ... and test differences with analysis of variance (ANOVA). Then find out how to use linear, multiple, and nonlinear regression ... Statistical analysis, in particular, is the basis for decision making in many fields, including business and academia. In this ... Professor Joseph Schmuller teaches you how to use statistics concepts and tools to perform analysis in Microsoft Excel.. He ...
https://www.lynda.com/Tableau-tutorials/Perform-two-way-analysis-variance/455718/499305-4.html
##### Analysis of Variance
... : Is the number of cylinders related to gas milegae See attached file for clarity. Analysis of Variance My ... Discuss which analysis of variance should be applied Discuss which analysis of variance should be applied when an experiment ... Analysis of Variance 1. In a completely randomized design, seven experimental units were used for each of the five levels of ... Analysis of Variance. Statistics: ANOVA, Relationships, and Regression. Please see file attached. Obtain bivariate data from ...
https://brainmass.com/statistics/analysis-of-variance/pg7
##### Analysis of Variance
... problems ANALYSIS OF VARIANCE (ANOVA) NOTES The F Distribution and it is also applied when we want to ... Statistical analysis of variance tests and quality of group means. 'Discounts and Sales' Analysis of variance tests the ... What is the aim of multiple linear regression? Discriminate analysis? Canonical correlation? Multivariate analysis of variance? ... Analysis of Variance. ANOVA Test. The following table is given in an ANOVA test: Treatment 1 Treatment 2 Treatment 3 9 13 10 7 ...
https://brainmass.com/statistics/analysis-of-variance/pg11
##### Analysis of variance
... and SS Between. An analysis of variance produces SSwithin = 40 and SStotal = 70. In this analysis, what is ... Probability: Analysis of Variance. How would you explain the analysis of variance, assuming that your audience has not had a ... Describe variance analysis and conclusions from them. How do you describe and illustrate variance analysis and what type of ... Analysis of Variance (ANOVA) - Simple Explanantion. Please explain the term analysis variance so a person without formal ...
https://brainmass.com/statistics/analysis-of-variance/analysis-of-variance-75854
##### Analysis of variance
contains a step-by-step solution to variance analysis. ... Variance Comparison and Analysis Variance Comparison and Analysis. ... Variance Analysis. Variance Analysis. Westport Furniture 2001 Budget Executive Summary. ... Help with variance. analysis ... analysis. Which brands differ in mean strengths are determined. ... Using analysis of variance. Using analysis of variance. ... Advantages of variance analysis: ... Error in analysing the variance: Sometimes. error will happen in the analysis of variance ...
https://brainmass.com/statistics/analysis-of-variance/analysis-of-variance-83399
##### Estimation/Analysis of Variance
... 1. The following data are from an experiment comparing three treatment conditions with a ... Estimation/Analysis of Variance. 1. The following data are from an experiment comparing three treatment conditions with a ... Estimation analysis. Estimation analysis. ... for Age Mean 46.202 Standard Error 0.466264195 Median 48 Mode. 0 Standard ... b. Compute eta2, the percentage of variance explained by the group differences, for these data.. c. Use the Tukey HSD posttest ...
https://brainmass.com/statistics/f-test/estimation-analysis-variance-316031
##### An Efficient SDN Load Balancing Scheme Based on VarianceAnalysis for Massive Mobile Users
... Hong Zhong,1 Qunfeng Lin,1 Jie Cui, ... B. Feng and X. Zhang, "Study on t-test, analysis of variance and multiple comparisons," Journal of Taiyuan Normal University ( ... G. Min, Y. Wu, and A. Y. Al-Dubai, "Performance modelling and analysis of cognitive mesh networks," IEEE Transactions on ... Y. Wu, G. Min, and L. T. Yang, "Performance analysis of hybrid wireless networks under bursty and correlated traffic," IEEE ...
https://www.hindawi.com/journals/misy/2015/241732/ref/
##### On Bias-VarianceAnalysis for Probabilistic Logic Models: Computer Science & IT Journal Article | IGI Global
The article introduces bias-variance decomposition in probabilistic logic learning. We use Stochastic Logic Programs for ... On Bias-Variance Analysis for Probabilistic Logic Models: 10.4018/jitr.2008070103: ... "On Bias-Variance Analysis for Probabilistic Logic Models," Journal of Information Technology Research (JITR) 1 (2008): 3, ... "On Bias-Variance Analysis for Probabilistic Logic Models." JITR 1.3 (2008): 27-40. Web. 20 Jan. 2018. doi:10.4018/jitr. ...
https://www.igi-global.com/article/bias-variance-analysis-probabilistic-logic/3702
##### MNEs and Industrial Structure in Host Countries:A Mean VarianceAnalysis of Ireland's Manufacturing Sector
We use mean-variance analysis to demonstrate the importance of a hitherto neglected benefit of enticing MNEs to locate in small ... We use mean-variance analysis to demonstrate the importance of a hitherto neglected benefit of enticing MNEs to locate in small ... MNEs and Industrial Structure in Host Countries:A Mean Variance Analysis of Ireland's Manufacturing Sector. ... "International Portfolio Analysis and Strategy: The Challenge of the 80s," Journal of International Business Studies, Palgrave ...
https://ideas.repec.org/p/iis/dispap/iiisdp023.html
##### Manual Minitab | Probability Distribution | Analysis Of Variance
160 12 One-Way Analysis of Variance 12. . . . . . .2 One-Way Analysis of Variance .3 Exercises . 152 11 Multiple Regression 155 ... A poor analysis can be Þxed if the data collected are good by simply redoing the analysis. perhaps the most important step in a ... We can also easily compute the mean and variance of this distribution.00000 calculate the mean and variance and store these in ... 163 163 166 171 13 Two-Way Analysis of Variance 173 13. . . . . . . . . .7 Exercises .4 The Sign Test . . .1 Tabulating and ...
https://www.scribd.com/doc/61836735/Manual-Minitab
##### R: Multivariate Analysis of Variance
Multivariate Analysis of Variance. Description. A class for the multivariate analysis of variance. ... Hand, D. J. and Taylor, C. C. (1987) Multivariate Analysis of Variance and Repeated Measures. Chapman and Hall. ... does not support multistratum analysis of variance, so the formula should not include an Error. term. ... Krzanowski, W. J. (1988) Principles of Multivariate Analysis. A User's Perspective. Oxford. ...
http://astrostatistics.psu.edu/su07/R/html/stats/html/manova.html
##### Math 11 | Variance | Analysis Of Variance
11-3. The F statistic is a ratio of between-groups variance and within-groups variance. What are these two types of variance? ... Variability, and the variance measure of it, is always positive-it always exists. Variance is calculated as the sum of squared ... Within-groups variance is 41.83 and within-groups variance is 177. An incomplete one-way. dftotal = dfbetween + dfwithin = 2 + ... we would divide the between-groups variance by the within-groups variance. and high trust in supervisors. What is the third ...
https://www.scribd.com/document/187510523/Math-11
##### R: Compute Efficiencies of Multistratum Analysis of Variance
Fixed-effect terms in an analysis of variance model with multiple strata may be estimable in more than one stratum, in which ... Compute Efficiencies of Multistratum Analysis of Variance. Description. Computes the efficiencies of fixed-effect terms in an ... analysis of variance model with multiple strata. Usage. eff.aovlist(aovlist) Arguments. aovlist. The result of a call to aov. ... The efficiency for a term is the fraction of the maximum possible precision (inverse variance) obtainable by estimating in just ...
http://stat.ethz.ch/R-manual/R-patched/library/stats/html/eff.aovlist.html
##### R: Summary Method for Multivariate Analysis of Variance
Summary Method for Multivariate Analysis of Variance. Description. A summary. method for class "manova". . ... Hand, D. J. and Taylor, C. C. (1987) Multivariate Analysis of Variance and Repeated Measures. Chapman and Hall. ... Krzanowski, W. J. and Marriott, F. H. C. (1994) Multivariate Analysis. Part I: Distributions, Ordination and Inference. Edward ... Anderson, T. W. (1994) An Introduction to Multivariate Statistical Analysis. Wiley. ...
https://stat.ethz.ch/R-manual/R-devel/library/stats/html/summary.manova.html
##### Dienekes' Anthropology Blog: 02/2013
According to the analysis of molecular variance, the distribution frequency and the rare published data, the Yinxu population ... A comprehensive DNA analysis has been conducted determining sex of the remains. Also bacteriological analysis of the research ... Racial Analysis Calculator (male). Racial Analysis Calculator (female). Anthropometric Calculator (male). Anthropometric ... Mitochondrial DNA analysis showed that the Yinxu population included the haplogroups D, G, A, C, Z, M10, M*, B, F and N9a. ...
http://dienekes.blogspot.com/2013_02_01_archive.html?m=0

(1/37255) Comparative total mortality in 25 years in Italian and Greek middle aged rural men.

STUDY OBJECTIVE: Mortality over 25 years has been low in the Italian and very low in the Greek cohorts of the Seven Countries Study; factors responsible for this particularity were studied in detail. PARTICIPANTS AND SETTINGS: 1712 Italian and 1215 Greek men, aged 40-59 years, cohorts of the Seven Countries Study, representing over 95% of the populations in designated rural areas. DESIGN: Entry (1960-61) data included age, systolic blood pressure (SBP), smoking habits, total serum cholesterol, body mass index (BMI), arm circumference, vital capacity (VC), and forced expiratory volume in 3/4 seconds (FEV); the same data were obtained 10 years later. Multivariate Cox analysis was performed with all causes death in 25 years as end point. MAIN RESULTS: Italian men had higher entry levels of SBP, arm circumference, BMI, and VC; Greek men had higher cholesterol levels, smoking habits, and FEV. Mortality of Italian men was higher throughout; at 25 years cumulative mortality was 48.3% and 35.3% respectively. Coronary heart disease and stroke mortality increased fivefold in Italy and 10-fold in Greece between years 10 and 25. The only risk factor with a significantly higher contribution to mortality in Italian men was cholesterol. However, differences in entry SBP (higher in Italy) and FEV (higher in Greece) accounted for, according to the Lee method, 75% of the differential mortality between the two populations. At 10 years increases in SBP, cholesterol, BMI, and decreases in smoking habits, VC, FEV, and arm circumference had occurred (deltas). SBP increased more and FEV and VC decreased more in Italy than in Greece. Deltas, fed stepwise in the original model for the prediction of 10 to 25 years mortality, were significant for SBP, smoking, arm circumference, and VC in Greece, and for SBP and VC in Italy. CONCLUSION: Higher mortality in Italian men is related to stronger positive effects of entry SBP and weaker negative (protective) effects of FEV; in addition 10 year increases in SBP are higher and 10 year decreases in FEV are larger in Italy. Unaccounted factors, however, related to, for example, differences in the diet, may also have contributed to the differential mortality of these two Mediterranean populations.  (+info)

(2/37255) Activity-dependent metaplasticity of inhibitory and excitatory synaptic transmission in the lamprey spinal cord locomotor network.

Paired intracellular recordings have been used to examine the activity-dependent plasticity and neuromodulator-induced metaplasticity of synaptic inputs from identified inhibitory and excitatory interneurons in the lamprey spinal cord. Trains of spikes at 5-20 Hz were used to mimic the frequency of spiking that occurs in network interneurons during NMDA or brainstem-evoked locomotor activity. Inputs from inhibitory and excitatory interneurons exhibited similar activity-dependent changes, with synaptic depression developing during the spike train. The level of depression reached was greater with lower stimulation frequencies. Significant activity-dependent depression of inputs from excitatory interneurons and inhibitory crossed caudal interneurons, which are central elements in the patterning of network activity, usually developed between the fifth and tenth spikes in the train. Because these interneurons typically fire bursts of up to five spikes during locomotor activity, this activity-dependent plasticity will presumably not contribute to the patterning of network activity. However, in the presence of the neuromodulators substance P and 5-HT, significant activity-dependent metaplasticity of these inputs developed over the first five spikes in the train. Substance P induced significant activity-dependent depression of inhibitory but potentiation of excitatory interneuron inputs, whereas 5-HT induced significant activity-dependent potentiation of both inhibitory and excitatory interneuron inputs. Because these metaplastic effects are consistent with the substance P and 5-HT-induced modulation of the network output, activity-dependent metaplasticity could be a potential mechanism underlying the coordination and modulation of rhythmic network activity.  (+info)

(3/37255) The significance of non-significance.

We discuss the implications of empirical results that are statistically non-significant. Figures illustrate the interrelations among effect size, sample sizes and their dispersion, and the power of the experiment. All calculations (detailed in Appendix) are based on actual noncentral t-distributions, with no simplifying mathematical or statistical assumptions, and the contribution of each tail is determined separately. We emphasize the importance of reporting, wherever possible, the a priori power of a study so that the reader can see what the chances were of rejecting a null hypothesis that was false. As a practical alternative, we propose that non-significant inference be qualified by an estimate of the sample size that would be required in a subsequent experiment in order to attain an acceptable level of power under the assumption that the observed effect size in the sample is the same as the true effect size in the population; appropriate plots are provided for a power of 0.8. We also point out that successive outcomes of independent experiments each of which may not be statistically significant on its own, can be easily combined to give an overall p value that often turns out to be significant. And finally, in the event that the p value is high and the power sufficient, a non-significant result may stand and be published as such.  (+info)

(4/37255) Capture-recapture models including covariate effects.

Capture-recapture methods are used to estimate the incidence of a disease, using a multiple-source registry. Usually, log-linear methods are used to estimate population size, assuming that not all sources of notification are dependent. Where there are categorical covariates, a stratified analysis can be performed. The multinomial logit model has occasionally been used. In this paper, the authors compare log-linear and logit models with and without covariates, and use simulated data to compare estimates from different models. The crude estimate of population size is biased when the sources are not independent. Analyses adjusting for covariates produce less biased estimates. In the absence of covariates, or where all covariates are categorical, the log-linear model and the logit model are equivalent. The log-linear model cannot include continuous variables. To minimize potential bias in estimating incidence, covariates should be included in the design and analysis of multiple-source disease registries.  (+info)

(5/37255) Effect of coronary occlusion on left ventricular function with and without collateral supply during beating heart coronary artery surgery.

OBJECTIVE: To study the effects of coronary occlusion and collateral supply on left ventricular (LV) function during beating heart coronary artery surgery. DESIGN: Prospective intraoperative study, performed at baseline, during wall stabilisation, coronary artery occlusion, and 2 and 10 minutes after reperfusion. Transoesophageal M mode echocardiograms, simultaneous high fidelity LV pressure, and thermodilution cardiac output were measured. LV anterior wall thickening, thinning velocities, thickening fraction, regional work, and power production were derived. Asynchrony during the isovolumic periods was quantified as cycle efficiency. SETTING: Tertiary referral cardiac centre. PATIENTS: 14 patients with stable angina, mean (SD) age 62 (7) years, undergoing left anterior descending artery grafting using the "Octopus" device. RESULTS: Collaterals were absent in nine patients and present in five. Epicardial stabilisation did not affect LV function. Results are expressed as mean (SD). Coronary occlusion (15.6 (2) minutes) depressed anterior wall thickening (1.4 (0.6) v 2.6 (0.6) cm/s) and thinning velocities (1.4 (0.5) v 3.0 (0.6) cm/s), regional work (2.2 (0.8) v 4.6 (0.6) mJ/cm2), and power (21 (4) v 33 (5) mW/cm2) in patients without collaterals (p < 0.05 for all), but only wall thinning (3.5 (0.5) v 4.8 (0.5) cm/s, p < 0.05) in patients with collaterals. All returned to baseline within 10 minutes of reperfusion. Cycle efficiency and regional work were impaired at baseline and fell during occlusion, regardless of collaterals. Within 10 minutes of reperfusion both had increased above baseline. CONCLUSIONS: Coronary occlusion for up to 15 minutes during beating heart coronary artery surgery depressed standard measurements of systolic and diastolic anterior wall function in patients without collaterals, but only those of diastolic function in patients with collaterals. Regional synchrony decreased in both groups. All disturbances regressed within 10 minutes of reperfusion.  (+info)

(6/37255) Acquisition of nicotine discrimination and discriminative stimulus effects of nicotine in rats chronically exposed to caffeine.

Caffeine and nicotine are the main psychoactive ingredients of coffee and tobacco, with a high frequency of concurrent use in humans. This study examined the effects of chronic caffeine exposure on 1) rates of acquisition of a nicotine discrimination (0.1 or 0.4 mg/kg, s.c., training doses) and 2) the pharmacological characteristics of the established nicotine discrimination in male Sprague-Dawley rats. Once rats learned to lever-press reliably under a fixed ratio of 10 schedule for food pellets, they were randomly divided into two groups; 12 animals were maintained continuously on caffeine added to the drinking water (3 mg/ml) and another 12 control rats continued to drink tap water. In each group of water- and caffeine-drinking rats, there were six rats trained to discriminate 0.1 mg/kg of nicotine from saline and six rats trained to discriminate 0.4 mg/kg of nicotine from saline. Regardless of the training dose of nicotine, both water- and caffeine-drinking groups required a comparable number of training sessions to attain reliable stimulus control, although there was a trend for a slower acquisition in the caffeine-drinking group trained with 0.1 mg/kg of nicotine. Tests for generalization to different doses of nicotine revealed no significant differences in potency of nicotine between water- and caffeine-drinking groups. The nicotinic-receptor antagonist mecamylamine blocked the discriminative effects of 0.1 and 0.4 mg/kg nicotine with comparable potency and efficacy in water- and caffeine-drinking groups. There was a dose-related generalization to both the 0.1 and 0.4 mg/kg nicotine cue (maximum average of 51-83%) in water-drinking rats after i.p. treatment with d-amphetamine, cocaine, the selective dopamine uptake inhibitor GBR-12909, apomorphine, and the selective dopamine D1 receptor agonist SKF-82958, but not in caffeine-drinking rats (0-22%). There was no generalization to the nicotine cues after i.p. treatment with caffeine or the selective D2 (NPA) and D3 (PD 128,907) dopamine-receptor agonists in water- and caffeine-drinking rats. The dopamine-release inhibitor CGS 10746B reduced the discriminative effects of 0.4 mg/kg nicotine in water-drinking rats, but not in caffeine-drinking rats. There was no evidence of development of tolerance or sensitization to nicotine's effects throughout the study. In conclusion, chronic caffeine exposure (average, 135 mg/kg/day) did not affect the rate of acquisition of the nicotine discrimination, but it did reduce the dopaminergic component of the nicotine-discriminative cue. The reduction of the dopaminergic component of the nicotine cue was permanent, as this effect was still evident after the caffeine solution was replaced with water in caffeine-drinking rats. That nicotine could reliably serve as a discriminative stimulus in the absence of the dopaminergic component of its discriminative cue may differentiate nicotine from "classical dopaminergic" drugs of abuse such as cocaine and amphetamine.  (+info)

(7/37255) Hierarchical cluster analysis applied to workers' exposures in fiberglass insulation manufacturing.

The objectives of this study were to explore the application of cluster analysis to the characterization of multiple exposures in industrial hygiene practice and to compare exposure groupings based on the result from cluster analysis with that based on non-measurement-based approaches commonly used in epidemiology. Cluster analysis was performed for 37 workers simultaneously exposed to three agents (endotoxin, phenolic compounds and formaldehyde) in fiberglass insulation manufacturing. Different clustering algorithms, including complete-linkage (or farthest-neighbor), single-linkage (or nearest-neighbor), group-average and model-based clustering approaches, were used to construct the tree structures from which clusters can be formed. Differences were observed between the exposure clusters constructed by these different clustering algorithms. When contrasting the exposure classification based on tree structures with that based on non-measurement-based information, the results indicate that the exposure clusters identified from the tree structures had little in common with the classification results from either the traditional exposure zone or the work group classification approach. In terms of the defining homogeneous exposure groups or from the standpoint of health risk, some toxicological normalization in the components of the exposure vector appears to be required in order to form meaningful exposure groupings from cluster analysis. Finally, it remains important to see if the lack of correspondence between exposure groups based on epidemiological classification and measurement data is a peculiarity of the data or a more general problem in multivariate exposure analysis.  (+info)

(8/37255) Racial differences in the outcome of left ventricular dysfunction.

BACKGROUND: Population-based studies have found that black patients with congestive heart failure have a higher mortality rate than whites with the same condition. This finding has been attributed to differences in the severity, causes, and management of heart failure, the prevalence of coexisting conditions, and socioeconomic factors. Although these factors probably account for some of the higher mortality due to congestive heart failure among blacks, we hypothesized that racial differences in the natural history of left ventricular dysfunction might also have a role. METHODS: Using data from the Studies of Left Ventricular Dysfunction (SOLVD) prevention and treatment trials, in which all patients received standardized therapy and follow-up, we conducted a retrospective analysis of the outcomes of asymptomatic and symptomatic left ventricular systolic dysfunction among black and white participants. The mean (+/-SD) follow-up was 34.2+/-14.0 months in the prevention trial and 32.3+/-14.8 months in the treatment trial among the black and white participants. RESULTS: The overall mortality rates in the prevention trial were 8.1 per 100 person-years for blacks and 5.1 per 100 person years for whites. In the treatment trial, the rates were 16.7 per 100 person-years and 13.4 per 100 person-years, respectively. After adjustment for age, coexisting conditions, severity and causes of heart failure, and use of medications, blacks had a higher risk of death from all causes in both the SOLVD prevention trial (relative risk, 1.36; 95 percent confidence interval, 1.06 to 1.74; P=0.02) and the treatment trial (relative risk, 1.25; 95 percent confidence interval, 1.04 to 1.50; P=0.02). In both trials blacks were also at higher risk for death due to pump failure and for the combined end point of death from any cause or hospitalization for heart failure, our two predefined indicators of the progression of left ventricular systolic dysfunction. CONCLUSIONS: Blacks with mild-to-moderate left ventricular systolic dysfunction appear to be at higher risk for progression of heart failure and death from any cause than similarly treated whites. These results suggest that there may be racial differences in the outcome of asymptomatic and symptomatic left ventricular systolic dysfunction.  (+info)

Warning: preg_replace(): Compilation failed: missing ) at offset 29 in /home/lookformedical/www/faq.php on line 152
• inverse
• The efficiency for a term is the fraction of the maximum possible precision (inverse variance) obtainable by estimating in just that stratum. (ethz.ch)
• portfolios
• With Dantzig's help, Markowitz continued to research optimization techniques, further developing the critical line algorithm for the identification of the optimal mean-variance portfolios, relying on what was later named the Markowitz frontier. (wikipedia.org)
• COMPONENTS
• In a mixed-design, you are taking repeated measures from the same participants and therefore the sum of squares can be broken down even further into three components: SSwithin-subjects (variance due to being in different repeated measure conditions), SSerror (other variance), and SSBT*WT (variance of interaction of between-subjects by within-subjects conditions). (wikipedia.org)
• Measures
• Discriminant function analysis Repeated measures design Canonical correlation analysis Warne, R. T. (2014). (wikipedia.org)
• Variance-based measures of sensitivity are attractive because they measure sensitivity across the whole input space (i.e. it is a global method), they can deal with nonlinear responses, and they can measure the effect of interactions in non-additive systems. (wikipedia.org)
• mean
• Computes a confidence interval on a variance component estimated as proportional to the difference in two mean squares in a balanced complete experimental design. (roguewave.com)
• We use mean-variance analysis to demonstrate the importance of a hitherto neglected benefit of enticing MNEs to locate in small and medium-sized countries. (repec.org)
• A successful grouping will split dogs such that (a) each group has a low variance of dog weights (meaning the group is relatively homogeneous) and (b) the mean of each group is distinct (if two groups have the same mean, then it isn't reasonable to conclude that the groups are, in fact, separate in any meaningful way). (wikipedia.org)
• Mean-variance analysis redirects here. (wikipedia.org)
• For mean-variance portfolio theory, see Modern portfolio theory or Mutual fund separation theorem. (wikipedia.org)
• these employ mean-variance analysis, and focus on the mean and variance of a portfolio's final value. (wikipedia.org)
• formal
• Ronald Fisher introduced the term variance and proposed its formal analysis in a 1918 article The Correlation Between Relatives on the Supposition of Mendelian Inheritance. (wikipedia.org)
• data
• Now that the data is all properly stored in a data frame, we are ready to begin the analysis. (wisc.edu)
• Any analysis should begin with a graphical exploration of the data. (wisc.edu)
• He explains how to organize and present data and how to draw conclusions using Excel's functions, charts, and 3D maps and the Solver and Analysis ToolPak add-ons. (lynda.com)
• One should actually run the analysis, including how you might get the data, sampling issues, etc. (brainmass.com)
• Compute eta2, the percentage of variance explained by the group differences, for these data. (brainmass.com)
• If data are ordinal, a non-parametric alternative to this test should be used such as Kruskal-Wallis one-way analysis of variance. (wikipedia.org)
• Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data" (Free full text). (wikipedia.org)
• ANORVA is based on the premise that the variance in groups of data from rhythmic variables is low when a time distance of one period exists between the data entries. (wikipedia.org)
• It consists of focus and analysis of statistically relevant anomalies in the data. (wikipedia.org)
• Analysis of Messy Data. (wikipedia.org)
• This involves thinking about the nature and quality of the data and, where the data came from, choosing appropriate analyses and models, and interpreting the results in the context of the problem and given the constraints of the data. (wikipedia.org)
• test
• Offer a variance report and an exam question for the student to "self test" if they comprehend the material discussed. (brainmass.com)
• B. Feng and X. Zhang, "Study on t-test, analysis of variance and multiple comparisons," Journal of Taiyuan Normal University (Natural Science Edition) , vol. 11, no. 4, pp. 46-49, 2012. (hindawi.com)
• If the variances are not known to be equal, a generalization of 2-sample Welch's t-test can be used. (wikipedia.org)
• He showed that under the usual departures (positive skew, unequal variances) "the F-test is conservative" so is less likely than it should be to find that a variable is significant. (wikipedia.org)
• Calculations of the means and the variance are performed as part of the hypothesis test. (wikipedia.org)
• Since it is a non-parametric method, the Kruskal-Wallis test does not assume a normal distribution of the residuals, unlike the analogous one-way analysis of variance. (wikipedia.org)
• Therefore, a researcher might use sample contrasts between individual sample pairs, or post hoc tests using Dunn's test, which (1) properly employs the same rankings as the Kruskal-Wallis test, and (2) properly employs the pooled variance implied by the null hypothesis of the Kruskal-Wallis test in order to determine which of the sample pairs are significantly different. (wikipedia.org)
• model
• Computes the efficiencies of fixed-effect terms in an analysis of variance model with multiple strata. (ethz.ch)
• Fixed-effect terms in an analysis of variance model with multiple strata may be estimable in more than one stratum, in which case there is less than complete information in each. (ethz.ch)
• For example, given a model with two inputs and one output, one might find that 70% of the output variance is caused by the variance in the first input, 20% by the variance in the second, and 10% due to interactions between the two. (wikipedia.org)
• While researching the then current understanding of stock prices, which at the time consisted in the present value model of John Burr Williams, Markowitz realized that the theory lacks an analysis of the impact of risk. (wikipedia.org)
• Company
• The company that would become CACI International was founded by Herb Karr and Harry Markowitz on July 17, 1962 as California Analysis Center, Inc. They helped develop SIMSCRIPT, the first simulation programming language, at RAND and after it was released to the public domain, CACI was founded to provide support and training for SIMSCRIPT. (wikipedia.org)
• find
• Management by exception focuses mainly on large adverse variances, to find the areas of business, which deviates from predetermined standards in a negative way. (wikipedia.org)
• below
• The derivative elements of these contracts are presented under "Commodity-based derivatives gain/(loss)" in the condensed consolidated interim statement of income and are referenced in the variance analysis (see below) as "Special items. (yara.com)