No data available that match "Models, Statistical"



*  Identification and Estimation of Outcome Response with Heterogeneous Treatment Externalities

The model is used to study the effectiveness of policies where peer effects are seen as a mechanism through which the ... We generalize the standard linear-in-means model to allow for multiple groups with between and within-group interactions. We ... This paper studies the identification and estimation of treatment response with heterogeneous spillovers in a network model. ... "On the asymptotic distribution of the Moran I test statistic with applications," Journal of Econometrics, Elsevier, vol. 104(2 ...
https://ideas.repec.org/p/max/cprwps/167.html

*  Estimate parameters of regression models with ARIMA errors - MATLAB

... uses maximum likelihood to estimate the parameters of the regression model with ARIMA time series errors, Mdl, given the ... Statistic ----------- ----------- ------------ ----------- Intercept 0 Fixed Fixed AR{1} 0.620303 0.104194 5.95338 AR{2} - ... Regression model with ARIMA errors. regARIMA. model. Regression model with ARIMA errors, specified as a regARIMA. model ... Model containing parameter estimates. regARIMA. model. Model containing the parameter estimates, returned as a regARIMA. model ...
mathworks.com/help/econ/regarima.estimate.html?requestedDomain=mathworks.com&nocookie=true

*  A statistical model to locate faults at input levels - IEEE Conference Publication

We present a statistical model to locate faults at the input level based on the failure patterns and the success patterns. The ...
ieeexplore.ieee.org/document/1342745/?reload=true&tp=&arnumber=1342745&contentType=Conference Publications&sortType=asc_p_Sequence&filter=AND

*  Generalized Network Psychometrics: Combining Network and Latent Variable Models | SpringerLink

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 67(2), 301-320.CrossRefGoogle Scholar ... These generalizations allow for a general modeling framework that can be used to fit, and compare, SEM models, network models, ... Chen, J., & Chen, Z. (2008). Extended Bayesian information criteria for model selection with large model spaces. Biometrika, 95 ... We introduce the network model as a formal psychometric model, conceptualizing the covariance between psychometric indicators ...
https://link.springer.com/article/10.1007/s11336-017-9557-x

*  Biolearn - applying probabilistic graphical models to biological applications | Computational Cell Biology: Modeling for...

Final Project: Mariam Ghochani - Statistical model in extracting protein associations * Bistability in the G1-to-S phase ... Final Project: Mariam Ghochani - Statistical model in extracting protein associations wp.me/p2BSoH-13n 4 years ago ... Final Project:Megan L. Matthews, Jasmin Imran Alsous-Dynamics of the Fitzhugh-Nagumo Model: A Model for Cardiac Electrical ... Biolearn - applying probabilistic graphical models to biological applications. Posted on July 20, 2012 by Greg@WM , Leave a ...
https://cshlccb.wordpress.com/2012/07/20/biolearn-applying-probabilistic-graphical-models-to-biological-applications/

*  Development of statistical models to forecast crossing times of commercial vehicles - The Portal to Texas History

The statistical prediction models use historic data and take into account empirical relationships between border-crossing- ... In this report statistical models were developed to predict crossing times of trucks over a short range of time. ... Development of statistical models to forecast crossing times of commercial vehicles One of 53 reports in the series: University ... In this report statistical models were developed to predict crossing times of trucks over a short range of time. The ...
https://texashistory.unt.edu/ark:/67531/metapth326743/

*  Statistical Model Checking - [Verimag]

[article under construction]
www-verimag.imag.fr/Statistical-Model-Checking-814.html?lang=en

*  Wiley: Multilevel Statistical Models, 4th Edition - Harvey Goldstein

4.5 Models for counts. 4.6 Mixed discrete - continuous response models. 4.7 A latent normal model for binary responses. 4.8 ... 15.5 Multilevel smoothing models. 15.6 General multilevel semi-parametric smoothing models. 15.7 Generalised linear models. ... 1.5 Event history and survival models. 1.6 Discrete response data. 1.7 Multivariate models. 1.8 Nonlinear models. 1.9 ... Chapter 5. Models for repeated measures data. 5.1 Repeated measures data. 5.2 A 2-level repeated measures model. 5.3 A ...
wiley.com/WileyCDA/WileyTitle/productCd-EHEP002272.html

*  Interactions in economic models: Statistical mechanics and networks

Downloadable (with restrictions)! No abstract is available for this item.
https://ideas.repec.org/a/spr/minsoc/v4y2005i2p223-238.html

*  LiEP CIS-2002-013: Learning Structured Statistical Models from Relational Data.

Learning Structured Statistical Models from Relational Data.. Title:. Learning Structured Statistical Models from Relational ... These statistical models can then be used for a variety of tasks including knowledge discovery, exploratory data analysis, data ... Here we describe tools for constructing statistical models from relational data. Our goal is to learn structured probabilistic ... These drawbacks severely limit the ability of current statistical methods to model relational databases. Here we describe two ...
ida.liu.se/ext/epa/cis/2002/013/tcover.html

*  European Commission : CORDIS : Projects and Results : Statistical models for musical signal processing

Statistical models for musical signal processing. From 2014-03-15 to 2017-03-14, closed project ... We will develop a fully-probabilistic model that consists of a single, multi-faceted hierarchical musical structure that is ... Bringing together efforts from speech and signal processing, statistical modeling, musicology and machine learning, we seek to ... We will develop innovative statistical approaches capable of processing information on multiple semantic levels. ...
cordis.europa.eu/project/rcn/111166_en.html

*  Statistical Model Analysis - Wolfram Mathematica 8 Documentation

For a number of common statistical models, this is accomplished in Mathematica by way of fitting functions that construct ... Diagnostics vary somewhat across model types. Available model fitting functions fit linear, generalized linear, and nonlinear ... it is often useful to analyze how well the model fits the data and how well the fitting meets the assumptions of the model. ... Object for fitted model information. FittedModel objects can be evaluated at a point or queried for results and diagnostic ...
reference.wolfram.com/legacy/v8/tutorial/StatisticalModelAnalysis.html

*  Novel statistical model may help reduce breast-lesion biopsies - Thaindian News

... statistical model, statistical models, university of washington school of medicine, unnecessary biopsies ... Novel statistical model may help reduce breast-lesion biopsies. December 1st, 2008 - 1:26 pm ICT by ANI Tweet. ... Thus, statistical models may improve the ability to distinguish between such lesions and avoid unnecessary biopsies. ... She warned that theres a need for more research before this statistical model can be validated for use as standard practice. ...
thaindian.com/newsportal/india-news/novel-statistical-model-may-help-reduce-breast-lesion-biopsies_100125638.html

*  New statistical model could help reduce breast-lesion biopsies | EurekAlert! Science News

Statistical models may improve the ability to distinguish between such lesions and avoid unnecessary biopsies. The researchers ... New statistical model could help reduce breast-lesion biopsies. Fred Hutchinson Cancer Research Center ... DeMartini cautioned that more research is needed before this statistical model can be validated for use as standard practice. " ... and colleagues in the breast imaging department at the Seattle Cancer Care Alliance developed a preliminary statistical model ...
https://eurekalert.org/pub_releases/2008-11/fhcr-nsm112408.php

*  Normality Index of Ventricular Contraction Based on a Statistical Model from FADS

... Luis Jiménez-Ángeles,1 Raquel Valdés- ... Model of the Factors' Probability Density Function. Different models were obtained for the PDF of the 3-MSF for six groups, ... represents the probability that those observations are well described by the assumed model (Gaussian mixture with , , and ... G. Schwarz, "Estimating the dimension of a model," The Annals of Statistics, vol. 6, pp. 461-464, 1978. View at Google Scholar ...
https://hindawi.com/journals/cmmm/2013/617604/

*  European Commission : CORDIS : Publications : CALCULATION OF NUCLEAR REACTION CROSS SECTION WITH THE STATISTICAL MODEL.

CALCULATION OF NUCLEAR REACTION CROSS SECTION WITH THE STATISTICAL MODEL.. Additional information. Authors: MATTHES W JRC-ISPRA ...
cordis.europa.eu/publication/rcn/1989115085200_en.html

*  Measuring the impact of large-scale transportation projects on land price using spatial statistical models

This study attempts to measure this impact using spatial statistical models and land price data. First, dynamic changes in the ... Second, various types of land price models are constructed by employing the existing methods of spatial econometrics and ... This study attempts to measure this impact using spatial statistical models and land price data. First, dynamic changes in the ... Measuring the impact of large-scale transportation projects on land price using spatial statistical models. ...
https://ideas.repec.org/a/bla/presci/v87y2008i3p385-401.html

*  Data Models and Statistical Analysis sub-cluster 45

In recent years, formal mathematical models have also been widely introduced. It is sometimes suggested that formal models are ... The most common econometric models of physician utilization are parametric count data models, since the most common metric of ... An additive multilevel item structure (AMIS) model with random residuals is proposed. The model includes multilevel latent ... correction models and to compare the false positive rates when using Thai-specific model relative to Caucasian-specific model. ...
biomedsearch.com/cluster/3/Data-Models-and-Statistical-Analysis/sub-45.html

*  Data Models and Statistical Analysis sub-cluster 36

Graphical models have recently gained popularity for this purpose in the statistical literature. In the binary case, however, ... Here, adapting standard methods from information theory and statistical mechanics, we model the phenomenon as a noise-driven ... In the absence of this difference, the model can be considered as an off-lattice version of the voter model and presents ... The model has backward bifurcation and may have no, one, or two positive equilibria when the basic reproduction number R 0 is ...
biomedsearch.com/cluster/3/Data-Models-and-Statistical-Analysis/sub-36.html

*  Data Models and Statistical Analysis sub-cluster 78

To construct statistical models in order to predict the presence, abundance, and potential virulence of Vibrio vulnificus in ... In this paper, we consider the cause-specific proportional hazards model with a shared frailty to model the association between ... Markov Transition Model to Dementia with Death as a Competing Event. Wei Shaoceng S Department of Statistics, University of ... A computational model of urinary bladder smooth muscle syncytium : Validation and ... Appukuttan Shailesh S Computational ...
biomedsearch.com/cluster/3/Data-Models-and-Statistical-Analysis/sub-78.html

*  Data Models and Statistical Analysis sub-cluster 93

The developmental hourglass model: a predictor of the basic body plan? Irie Naoki N Department of Biological Sciences, School ... Graphical Model for Joint Segmentation and Tracking of Multiple Dividing Cells. Schiegg Martin M University of Heidelberg, IWR/ ... A theoretical model of avian flight is developed which simulates wing motion through a class of methods known as predictive ... Colloidal models. A bit of history. Lyklema Johannes J Department of Physical Chemistry and Colloid Science, Wageningen ...
biomedsearch.com/cluster/3/Data-Models-and-Statistical-Analysis/sub-93.html

*  Data Models and Statistical Analysis sub-cluster 85

... model, a sequential Monte Carlo method, and a statistical potential. The RNAnbds model is designed for optimizing the ... one of which is free energy minimization using the Nearest Neighbor Model. This model predicts the lowest-free energy secondary ... and we fit discrete lifetime regression models to the data. The model parameters are ... ... Evaluating mixture models for building RNA knowledge-based potentials. Sim Adelene Y L AY Department of Applied Physics, ...
biomedsearch.com/cluster/3/Data-Models-and-Statistical-Analysis/sub-85-p7.html

*  Europäische Kommission : CORDIS : Projekte und Ergebnisse : Statistical models to predict the impact of heat treatments on...

Statistical models to predict the impact of heat treatments on germination capacity and dormancy break of malting barley. ... Reliable statistical models for the prediction of the impact of heat treatments on germination capacity and dormancy break of ... Reliable statistical models for the prediction of the impact of these heat treatments on germination capacity and dormancy ... Statistical models to predict the impact of heat treatments on germination capacity and dormancy break of malting barley ...
cordis.europa.eu/result/rcn/34870_de.html

*  Star Trek (2009) / Headscratchers - TV Tropes

The statistical likelihood that our plan will succeed is less than 4.3%. [interrupted by Kirk] In the event that I do not ... Is it just me, or does Kirk have inhuman stamina? Even if he is the very model of a perfect human Starfleet specimen, in the ...
tvtropes.org/pmwiki/pmwiki.php/Headscratchers/StarTrek2009

*  Evidence of a Causal Role of Winter Virus Infection during Infancy in Early Childhood Asthma

Statistical Analysis. Univariate and multivariable logistic regression models were constructed to analyze the relationship of ... In the noncausal model, a common familial predisposition to asthma is associated with winter viral infection and asthma and is ... Noncausal and causal models of the relationship between winter viral infection and early childhood asthma. ... Results were obtained from a multivariable logistic regression model adjusted for gender, infant race, birth weight, ...
pubmedcentralcanada.ca/pmcc/articles/PMC2588491/?lang=en-ca

No data available that match "Models, Statistical"



(1/16923) A computational screen for methylation guide snoRNAs in yeast.

Small nucleolar RNAs (snoRNAs) are required for ribose 2'-O-methylation of eukaryotic ribosomal RNA. Many of the genes for this snoRNA family have remained unidentified in Saccharomyces cerevisiae, despite the availability of a complete genome sequence. Probabilistic modeling methods akin to those used in speech recognition and computational linguistics were used to computationally screen the yeast genome and identify 22 methylation guide snoRNAs, snR50 to snR71. Gene disruptions and other experimental characterization confirmed their methylation guide function. In total, 51 of the 55 ribose methylated sites in yeast ribosomal RNA were assigned to 41 different guide snoRNAs.  (+info)

(2/16923) Influence of sampling on estimates of clustering and recent transmission of Mycobacterium tuberculosis derived from DNA fingerprinting techniques.

The availability of DNA fingerprinting techniques for Mycobacterium tuberculosis has led to attempts to estimate the extent of recent transmission in populations, using the assumption that groups of tuberculosis patients with identical isolates ("clusters") are likely to reflect recently acquired infections. It is never possible to include all cases of tuberculosis in a given population in a study, and the proportion of isolates found to be clustered will depend on the completeness of the sampling. Using stochastic simulation models based on real and hypothetical populations, the authors demonstrate the influence of incomplete sampling on the estimates of clustering obtained. The results show that as the sampling fraction increases, the proportion of isolates identified as clustered also increases and the variance of the estimated proportion clustered decreases. Cluster size is also important: the underestimation of clustering for any given sampling fraction is greater, and the variability in the results obtained is larger, for populations with small clusters than for those with the same number of individuals arranged in large clusters. A considerable amount of caution should be used in interpreting the results of studies on clustering of M. tuberculosis isolates, particularly when sampling fractions are small.  (+info)

(3/16923) 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)

(4/16923) Sequence specificity, statistical potentials, and three-dimensional structure prediction with self-correcting distance geometry calculations of beta-sheet formation in proteins.

A statistical analysis of a representative data set of 169 known protein structures was used to analyze the specificity of residue interactions between spatial neighboring strands in beta-sheets. Pairwise potentials were derived from the frequency of residue pairs in nearest contact, second nearest and third nearest contacts across neighboring beta-strands compared to the expected frequency of residue pairs in a random model. A pseudo-energy function based on these statistical pairwise potentials recognized native beta-sheets among possible alternative pairings. The native pairing was found within the three lowest energies in 73% of the cases in the training data set and in 63% of beta-sheets in a test data set of 67 proteins, which were not part of the training set. The energy function was also used to detect tripeptides, which occur frequently in beta-sheets of native proteins. The majority of native partners of tripeptides were distributed in a low energy range. Self-correcting distance geometry (SECODG) calculations using distance constraints sets derived from possible low energy pairing of beta-strands uniquely identified the native pairing of the beta-sheet in pancreatic trypsin inhibitor (BPTI). These results will be useful for predicting the structure of proteins from their amino acid sequence as well as for the design of proteins containing beta-sheets.  (+info)

(5/16923) Pair potentials for protein folding: choice of reference states and sensitivity of predicted native states to variations in the interaction schemes.

We examine the similarities and differences between two widely used knowledge-based potentials, which are expressed as contact matrices (consisting of 210 elements) that gives a scale for interaction energies between the naturally occurring amino acid residues. These are the Miyazawa-Jernigan contact interaction matrix M and the potential matrix S derived by Skolnick J et al., 1997, Protein Sci 6:676-688. Although the correlation between the two matrices is good, there is a relatively large dispersion between the elements. We show that when Thr is chosen as a reference solvent within the Miyazawa and Jernigan scheme, the dispersion between the M and S matrices is reduced. The resulting interaction matrix B gives hydrophobicities that are in very good agreement with experiment. The small dispersion between the S and B matrices, which arises due to differing reference states, is shown to have dramatic effect on the predicted native states of lattice models of proteins. These findings and other arguments are used to suggest that for reliable predictions of protein structures, pairwise additive potentials are not sufficient. We also establish that optimized protein sequences can tolerate relatively large random errors in the pair potentials. We conjecture that three body interaction may be needed to predict the folds of proteins in a reliable manner.  (+info)

(6/16923) Cloning, overexpression, purification, and physicochemical characterization of a cold shock protein homolog from the hyperthermophilic bacterium Thermotoga maritima.

Thermotoga maritima (Tm) expresses a 7 kDa monomeric protein whose 18 N-terminal amino acids show 81% identity to N-terminal sequences of cold shock proteins (Csps) from Bacillus caldolyticus and Bacillus stearothermophilus. There were only trace amounts of the protein in Thermotoga cells grown at 80 degrees C. Therefore, to perform physicochemical experiments, the gene was cloned in Escherichia coli. A DNA probe was produced by PCR from genomic Tm DNA with degenerated primers developed from the known N-terminus of TmCsp and the known C-terminus of CspB from Bacillus subtilis. Southern blot analysis of genomic Tm DNA allowed to produce a partial gene library, which was used as a template for PCRs with gene- and vector-specific primers to identify the complete DNA sequence. As reported for other csp genes, the 5' untranslated region of the mRNA was anomalously long; it contained the putative Shine-Dalgarno sequence. The coding part of the gene contained 198 bp, i.e., 66 amino acids. The sequence showed 61% identity to CspB from B. caldolyticus and high similarity to all other known Csps. Computer-based homology modeling allowed the conclusion that TmCsp represents a beta-barrel similar to CspB from B. subtilis and CspA from E. coli. As indicated by spectroscopic analysis, analytical gel permeation chromatography, and mass spectrometry, overexpression of the recombinant protein yielded authentic TmCsp with a molecular weight of 7,474 Da. This was in agreement with the results of analytical ultracentrifugation confirming the monomeric state of the protein. The temperature-induced equilibrium transition at 87 degrees C exceeds the maximum growth temperature of Tm and represents the maximal Tm-value reported for Csps so far.  (+info)

(7/16923) pKa calculations for class A beta-lactamases: influence of substrate binding.

Beta-Lactamases are responsible for bacterial resistance to beta-lactams and are thus of major clinical importance. However, the identity of the general base involved in their mechanism of action is still unclear. Two candidate residues, Glu166 and Lys73, have been proposed to fulfill this role. Previous studies support the proposal that Glu166 acts during the deacylation, but there is no consensus on the possible role of this residue in the acylation step. Recent experimental data and theoretical considerations indicate that Lys73 is protonated in the free beta-lactamases, showing that this residue is unlikely to act as a proton abstractor. On the other hand, it has been proposed that the pKa of Lys73 would be dramatically reduced upon substrate binding and would thus be able to act as a base. To check this hypothesis, we performed continuum electrostatic calculations for five wild-type and three beta-lactamase mutants to estimate the pKa of Lys73 in the presence of substrates, both in the Henri-Michaelis complex and in the tetrahedral intermediate. In all cases, the pKa of Lys73 was computed to be above 10, showing that it is unlikely to act as a proton abstractor, even when a beta-lactam substrate is bound in the enzyme active site. The pKa of Lys234 is also raised in the tetrahedral intermediate, thus confirming a probable role of this residue in the stabilization of the tetrahedral intermediate. The influence of the beta-lactam carboxylate on the pKa values of the active-site lysines is also discussed.  (+info)

(8/16923) Simplified methods for pKa and acid pH-dependent stability estimation in proteins: removing dielectric and counterion boundaries.

Much computational research aimed at understanding ionizable group interactions in proteins has focused on numerical solutions of the Poisson-Boltzmann (PB) equation, incorporating protein exclusion zones for solvent and counterions in a continuum model. Poor agreement with measured pKas and pH-dependent stabilities for a (protein, solvent) relative dielectric boundary of (4,80) has lead to the adoption of an intermediate (20,80) boundary. It is now shown that a simple Debye-Huckel (DH) calculation, removing both the low dielectric and counterion exclusion regions associated with protein, is equally effective in general pKa calculations. However, a broad-based discrepancy to measured pH-dependent stabilities is maintained in the absence of ionizable group interactions in the unfolded state. A simple model is introduced for these interactions, with a significantly improved match to experiment that suggests a potential utility in predicting and analyzing the acid pH-dependence of protein stability. The methods are applied to the relative pH-dependent stabilities of the pore-forming domains of colicins A and N. The results relate generally to the well-known preponderance of surface ionizable groups with solvent-mediated interactions. Although numerical PB solutions do not currently have a significant advantage for overall pKa estimations, development based on consideration of microscopic solvation energetics in tandem with the continuum model could combine the large deltapKas of a subset of ionizable groups with the overall robustness of the DH model.  (+info)



prediction


  • The statistical prediction models use historic data and take into account empirical relationships between border-crossing-related parameters and truck crossing times. (unt.edu)
  • Reliable statistical models for the prediction of the impact of heat treatments on germination capacity and dormancy break of malting barley (validated). (europa.eu)
  • Reliable statistical models for the prediction of the impact of these heat treatments on germination capacity and dormancy break of malting barley were validated and published in the proceedings of the last meeting of the Project. (europa.eu)

theoretical model


  • A theoretical model of avian flight is developed which simulates wing motion through a class of methods known as predictive simulation. (biomedsearch.com)
  • We studied the dynamical behavior of a mononucleosome under tension using a theoretical model that takes into account the nucleosomal geometry, DNA elasticity, nonspecific DNA-protein binding, and effective repulsion between the two DNA turns. (biomedsearch.com)

Bayesian


  • Bayesian methodology using MCMC has been extended along with new material on smoothing models, multivariate responses, missing data, latent normal transformations for discrete responses, structural equation modeling and survival models. (wiley.com)
  • Income convergence in Japan: A Bayesian spatial Durbin model approach ," Economic Modelling , Elsevier, vol. 29(1), pages 60-71. (repec.org)

Nonlinear


  • Available model fitting functions fit linear, generalized linear, and nonlinear models. (wolfram.com)

mathematical


  • In recent years, formal mathematical models have also been widely introduced. (biomedsearch.com)
  • Mathematical models were developed for the drying performance and for the loss of viability of freshly harvested malting barley, during a quick heat shock or a complete drying process. (europa.eu)

predict


  • In this report statistical models were developed to predict crossing times of trucks over a short range of time. (unt.edu)

preliminary


  • Led by Wendy DeMartini, M.D., researchers in the breast-imaging department at the Seattle Cancer Care Alliance developed a preliminary statistical model that could help breast radiologists in predicting if a lesion found on breast MRI is malignant or benign. (thaindian.com)
  • Wendy DeMartini, M.D., and colleagues in the breast imaging department at the Seattle Cancer Care Alliance developed a preliminary statistical model that breast radiologists could use eventually when deciding whether a lesion found on breast MRI is likely to be malignant or benign. (eurekalert.org)
  • This is a preliminary model. (eurekalert.org)

forecast


  • A Model-Output-Statistic (MOS)-System combines the data of the weather forecast model and the locally recorded data for any given point by transforming the model data from a coarse grid to detailed small scale areas. (weatheronline.co.uk)
  • In order to do so, one needs a large volume of past model forecast data as well as the corresponding recorded data for any given location. (weatheronline.co.uk)
  • The MOS-System relates these two sets of data in an optimized fashion allowing development of the local weather forecast by using the most current model forecast. (weatheronline.co.uk)

Thus


  • Thus, to apply these methods, we are forced to convert the data into a flat form, thereby not only losing its compact representation and structure but also potentially introducing statistical skew. (liu.se)
  • Thus, statistical models may improve the ability to distinguish between such lesions and avoid unnecessary biopsies. (thaindian.com)

analyze


  • When fitting models to data, it is often useful to analyze how well the model fits the data and how well the fitting meets the assumptions of the model. (wolfram.com)
  • This review will focus on the use of the chicken and quail as model systems to analyze myogenesis and as such will emphasize the experimental approaches that are strongest in these systems-the amenability of the avian embryo to manipulation and in ovo observation. (biomedsearch.com)
  • The mouse hindbrain: an in vivo model to analyze developmental angiogenesis. (biomedsearch.com)

methods


  • Unfortunately, most statistical learning methods work only with "flat" data representations. (liu.se)
  • These drawbacks severely limit the ability of current statistical methods to model relational databases. (liu.se)
  • The statistical methods of the Model-Output-Statistic (MOS)-System were developed in cooperation with the Meteorological Department of the University of Bonn . (weatheronline.co.uk)

approaches


  • We will develop innovative statistical approaches capable of processing information on multiple semantic levels. (europa.eu)

hierarchical


  • Three level models and more complex hierarchical structures. (wiley.com)
  • We will develop a fully-probabilistic model that consists of a single, multi-faceted hierarchical musical structure that is jointly estimated from the music, and that is capable of directly describing the epistemic uncertainty that arises from the effects of the adverse environment in audio music. (europa.eu)

diagnostics


  • Diagnostics vary somewhat across model types. (wolfram.com)

data


  • Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. (wiley.com)
  • LiEP CIS-2002-013: Learning Structured Statistical Models from Relational Data. (liu.se)
  • Learning Structured Statistical Models from Relational Data. (liu.se)
  • Here we describe tools for constructing statistical models from relational data. (liu.se)
  • These statistical models can then be used for a variety of tasks including knowledge discovery, exploratory data analysis, data summarization and anomaly detection. (liu.se)
  • Linear models with assumed independent normally distributed errors are among the most common models for data. (wolfram.com)
  • This study attempts to measure this impact using spatial statistical models and land price data. (repec.org)
  • To fit urinary toxicity data of patients treated with postprostatectomy radiation therapy with the linear quadratic (LQ) model with/without introducing a time factor. (biomedsearch.com)
  • The WeatherOnline forecasts are created by using a MOS system developed in-house with the most current US weather services model data (GFS). (weatheronline.co.uk)

experimental


  • We describe algorithms for both learning and making inferences in these models, and give experimental results. (liu.se)

results


  • Here is a shortened list of available results for the linear fitted model. (wolfram.com)
  • The results are accessible without refitting the model. (wolfram.com)

Robust


  • Possible therapies are under development but robust outcome measures in animal models are required for effective translation to human patients. (biomedsearch.com)

structures


  • Several different mechanical models of double-helical nucleic-acid structures that have been presented in the literature are reviewed here together with a new analysis method that provides a reconciliation between these disparate models. (biomedsearch.com)

analysis


  • Options for model specification and for model analysis are available. (wolfram.com)
  • All , the model is an analysis of variance (ANOVA) model. (wolfram.com)
  • A multi-disciplinary approach was used to identify the first pharmacophore model for KCC2 blockers: several physico-chemical studies such as XRD and NMR were combined to molecular modelling techniques, SAR analysis and synthesis of constrained analogues in order to determine a minimal conformational space regrouping few potential bioactive conformations. (biomedsearch.com)

development


ability


  • The major difference between model fitting functions such as LinearModelFit and functions such as Fit and FindFit is the ability to easily obtain diagnostic information from the FittedModel objects. (wolfram.com)

represent


  • Our goal is to learn structured probabilistic models that represent statistical correlations both between the properties of an entity and between the properties of related entities. (liu.se)

study


  • This study evaluates in vivo the drug absorption profiles from potato starch-methyl methacrylate matrices[*] using theophylline as a model drug. (biomedsearch.com)

normal


  • also an index, based on the likelihood between the control group's contraction model and a sample of normal subjects is proposed. (hindawi.com)

account


  • Provides a clear introduction and a comprehensive account of multilevel models. (wiley.com)

Research


  • Such a model, if confirmed by more research, could be beneficial because MRI exams are so sensitive that they reveal cancerous and non-cancerous lesions that often look alike and behave similarly when contrast dye is injected into the patient. (thaindian.com)
  • She warned that theres a need for more research before this statistical model can be validated for use as standard practice. (thaindian.com)
  • DeMartini cautioned that more research is needed before this statistical model can be validated for use as standard practice. (eurekalert.org)

Publications


  • This growing collection of materials produced by the State of Texas includes agency annual reports, legislative publications, statistical reports, and various state government reports and periodicals. (unt.edu)

single


  • White matter fractional anisotropy (FA), a measure suggesting microstructure, is significantly underestimated with single diffusion tensor model at crossing-fiber regions (CFR). (biomedsearch.com)

techniques


  • This new edition of Multilevel Statistical Models brings these techniques together, starting from basic ideas and illustrating how more complex models are derived. (wiley.com)

together


  • Bringing together efforts from speech and signal processing, statistical modeling, musicology and machine learning, we seek to build efficient models that allow the automatic extraction of musical content information from audio signals. (europa.eu)

basic


  • The developmental hourglass model: a predictor of the basic body plan? (biomedsearch.com)
  • The hourglass model of embryonic evolution predicts an hourglass-like divergence during animal embryogenesis - with embryos being more divergent at the earliest and latest stages but conserved during a mid-embryonic (phylotypic) period that serves as a source of the basic body plan for animals within a phylum. (biomedsearch.com)

Form


  • Here is the functional form of the fitted model. (wolfram.com)

difference


  • Difference or differential equations based on Knipling's model often provide satisfactory qualitative descriptions of pest populations subject to sterile release at relatively high densities with large mating encounter rates, but fail otherwise. (biomedsearch.com)

Event


  • Markov Transition Model to Dementia with Death as a Competing Event. (biomedsearch.com)