• The main objectives of this study were to analyze worldwide research output in the waterpipe tobacco smoking field, and to examine the authorship pattern and the citations retrieved from the Scopus database for over a decade. (who.int)
  • The goodness‐of‐fit and prediction ability of the revised logistic regression model are more appropriate than those of the original model. (emerald.com)
  • Drowsy states were predicted by means of the multinomial logistic regression model where physiological and behavioral measures and subjective evaluation of drowsiness corresponded to independent variables and a dependent variable, respectively. (elsevierpure.com)
  • Suggested citation for this article: Coats JV, Humble S, weighted binary and multinomial logistic regression models. (cdc.gov)
  • In logistic regression analysis, there is no agreed upon analogous measure, but there are several competing measures each with limitations. (wikipedia.org)
  • Logistic regression analysis revealed that the untrained birth attendants was significantly higher in the tetanus group than the control group (OR=61.39, 95% CI 1.60, 354.33). (who.int)
  • Abstract relational biology (ARB) is concerned with the study of general, relational models of complex biological systems, usually abstracting out specific morphological, or anatomical, structures. (wikipedia.org)
  • Some of the simplest models in ARB are the Metabolic-Replication, or (M,R)--systems introduced by Robert Rosen in 1957-1958 as abstract, relational models of cellular and organismal organization. (wikipedia.org)
  • abstract = "In this paper, we investigate a reaction-diffusion-advection equation with a free boundary which models the spreading of an invasive species in one-dimensional heterogeneous environments. (elsevierpure.com)
  • The results of this study clearly show that the presence of bloody diarrhea is an endogenous variable in the model showing predictors of hemolytic uremic syndrome, in that the diarrhea is shown to be predicted by, and therefore strongly correlated with, several other variables used to predict hemolytic uremic syndrome. (cdc.gov)
  • A multivariable logistic regression model was constructed to examine predictors of crash culpability. (bvsalud.org)
  • the objective of this study was to model predictors of giving birth at health institutions among expectant mothers following antenatal care. (bvsalud.org)
  • Monobe, H & Wu, CH 2016, ' On a free boundary problem for a reaction-diffusion-advection logistic model in heterogeneous environment ', Journal of Differential Equations , vol. 261, no. 11, pp. 6144-6177. (elsevierpure.com)
  • Bivariate and multivariate analysis logistic regressions were done to generate a mortality prediction model. (ui.ac.id)
  • Using multivariate logistic regression models, current smoking in men was associated with older age, informal education, unemployment and lower income. (who.int)
  • Describir las repercusiones generadas en el área de la salud mental en la población uruguaya mayor de 18 años, GC1, JH3, DA4: study de las variables ansiedad, tristeza y dificultades para conciliar el sueño, en el periodo comprendido entre el 13 de marzo de conception, literature search, 2020 al 10 de junio de 2021. (bvsalud.org)
  • Similarly, multivariable model results indicated that the likelihood of culpability was higher among males, in rural areas, and at each stage of GDL compared to teen drivers with unrestricted licenses. (bvsalud.org)
  • Multivariable logistic regression was employed to develop the prediction model. (bvsalud.org)
  • The dataset is relatively small, and the authors use stepwise logistic regression models to detect small differences. (cdc.gov)
  • In these models, the response variable was binary with 0 representing non-cloudy areas and 1 representing cloudy areas. (usm.edu)
  • First, we compared the effectiveness of two methods (correlation coefficient-based method and odds ratio-based method) for determining the order of entering behavioral measures into the prediction model. (elsevierpure.com)
  • The prediction accuracy did not differ among four, five, and six behavioral measures, and it was concluded that entering at least four behavioral measures into the prediction model is enough to achieve higher prediction accuracy. (elsevierpure.com)
  • Data with a diagnosis time of 2018(n = 23,384) were distributed randomly as training and testing sets in the ratio of 7:3 using the leave-out method for model construction and internal validation. (biomedcentral.com)
  • External validation of the model was done using the dataset of 2019(n = 8128). (biomedcentral.com)
  • The follow-up time of breast cancer data with diagnosis in 2019 in the SEER database is less than two years, this study also used 1-year survival as the study outcome, to establish a predictive model to identify people with better and worse prognosis, especially people with a poorer prognosis, and to assist physicians in taking the best interventional treatment for patients promptly. (biomedcentral.com)
  • For example, the simultaneous equations approach, such as that outlined by Greene ( 7 ), would have used predicted values of bloody diarrhea from the first stage of the model as instrumental variables for the actual value in the model for hemolytic uremic syndrome. (cdc.gov)
  • This paper presents a model-driven approach to integrating simulation and optimization methods by exchanging formal system models and analysis abstractions between them, defined in SysML. (nist.gov)
  • This approach (model-driven system-analysis integration) is demonstrated by developing a multi-fidelity, multi-method simulation optimization methodology and applying it to a supply chain design case study. (nist.gov)
  • This study aims to apply a systematic statistical approach, including several plot indexes, to diagnose the goodness of fit of a logistic regression model, and then to detect the outliers and influential observations of the data from experimental data. (emerald.com)
  • Ravi Sankara Pandian, Gowtham Pandia Rajan, "Performance Evaluation of a Reverse Logistics Enterprise - An Agent-Based Modelling Approach" (2015). (uwindsor.ca)
  • Scripttheoretic research,which is based on the modelling of sequential activities, is proposed asan alternative approach for the study of this process. (deepdyve.com)
  • This paper proposes a distributionally robust approach to logistic regression. (optimization-online.org)
  • To test our approach in a practical application, the model was applied to a set of real data on fertility history. (biomedcentral.com)
  • However, the parametric model is another available approach for modeling CIF. (biomedcentral.com)
  • One approach to the construction of flexible parametric models is to add a shape parameter to provide a wide range of hazard shapes and improve the models in survival data. (biomedcentral.com)
  • The authors present a new graphic, the predictiveness curve, which complements the risk modeling approach. (eurekamag.com)
  • Because the strain is in part determined by the presence of these toxins, including both strain and genotype in the model means that the standard errors for variables for the Shiga-containing strains and bloody diarrhea symptom are likely to be too high, and hence the significance levels (p values) obtained from the regression models are higher than the true probability because of a type I error. (cdc.gov)
  • Owing to the specificity of insurance risk, particularly low probability of damage, the model was constructed on the balanced sample. (wroc.pl)
  • Our study demonstrated that GWLM is a useful and effective tool to account for spatial heterogeneity in modeling/predicting the occurrence or probability of cloud cover, using the spatial data derived from satellite imagery and GIS. (usm.edu)
  • The advantage of parametric methods compared to non- and semi-parametric ones is that if a parametric model is selected correctly, it can predict the probability of the occurrence of events in the long term and provide additional insights about the time to failure and hazard functions [ 5 ]. (biomedcentral.com)
  • Our new combined model could be used to calculate probability of death based on day 1 PELOD-2 score in pediatric burn patients. (ui.ac.id)
  • For comparison to densities derived from Pollard-Yates transects, we used Program DISTANCE to model detection probability (p) and estimate density (D) for eight butterfly species representing a range of morphological characteristics. (bvsalud.org)
  • the probability of giving birth at health institutions among ante natal care attendants has not been modeled in Ethiopia. (bvsalud.org)
  • Pediatric Organ Logistic Dysfunction (PELOD)-2 score as a descriptive scoring system for organ dysfunction has been highly predictive of mortality in children with suspected infection, but its usefulness for burn patients is unknown. (ui.ac.id)
  • Through experimental results, EXPLORER shows the same performance (e.g., discrimination, calibration, feature selection, etc.) as the traditional frequentist logistic regression model, but provides more flexibility in model updating. (duke.edu)
  • Accuracy, calibration and net benefit of clinical decision making were evaluated for both models. (biomedcentral.com)
  • The accuracy, net clinical benefit, and calibration of the HBN model were better than LR model. (biomedcentral.com)
  • We compared a non-spatial logistic regression model (LRM) with two spatial models, i.e., logistic mixed model (LMM) and geographically weighted logistic model (GWLM), to model/predict the occurrence of orographic cloud cover at the Luquillo Experimental Forest in north-eastern Puerto Rico. (usm.edu)
  • In contrast, the GWLM with the bandwidth close to the effective range of the semivariogram of the LRM residuals showed the best model fitting among the three types of models, resulting in the lowest Akaike Information Criterion (AIC) and sum of squared errors (SSE), and the smallest spatial autocorrelation and heterogeneity in the model residuals. (usm.edu)
  • Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. (sciencebase.gov)
  • Today the paper A large-scale analysis of impact factor biased journal self-citations by Caspar Chorus (TU Delft) and Ludo Waltman (CWTS) has appeared in PLOS ONE. (cwts.nl)
  • For instance, they may publish editorials with many journal self-citations, they may participate in citation cartels , or they may coerce authors to include additional journal self-citations in their papers, in particular self-citations to publications from the past two years. (cwts.nl)
  • For all science and social science journals indexed in the Web of Science database, we analyze whether there is an IF bias in journal self-citations. (cwts.nl)
  • More specifically, we examine whether journal self-citations are biased to publications from the past two years, which are the years based on which IFs are calculated. (cwts.nl)
  • We consider journal self-citations to be IF biased if the percentage of journal self-citations to publications from the past two years is significantly higher than the percentage of journal self-citations to publications from the five preceding years. (cwts.nl)
  • For instance, let's consider citations given in 2015 to publications in journal X. Suppose that 30% of the citations given to publications from 2013 and 2014 are journal self-citations, while 15% of the citations given to publications from the period 2008-2012 are journal self-citations. (cwts.nl)
  • This means that on average a journal's percentage of self-citations to the past two years is about 70% higher than its percentage of self-citations to the five preceding years. (cwts.nl)
  • For these journals, the percentage of self-citations to the past two years is more than three times as high as the percentage of self-citations to the five preceding years. (cwts.nl)
  • We then formulate a distributionally robust logistic regression model that minimizes a worst-case expected logloss function, where the worst case is taken over all distributions in the Wasserstein ball. (optimization-online.org)
  • 2 , we formulate our new model with five state variables and two control functions. (springeropen.com)
  • The underlying problem in the study is the theoretical specifications for the model, in which genotypes, strains, and symptoms are mixed, despite reasonable expectations that differences in 1 level may predict differences in another. (cdc.gov)
  • While most studies currently predict five-year survival in breast cancer, some studies have focused on developing 1-year survival prediction models or Comprehensive Prognostic Index (CPI) for breast cancer patients with multiple comorbidities [ 8 ]. (biomedcentral.com)
  • Pseudo-R-squared values are used when the outcome variable is nominal or ordinal such that the coefficient of determination R2 cannot be applied as a measure for goodness of fit and when a likelihood function is used to fit a model. (wikipedia.org)
  • One models the risk of disease (or disease outcome) with, for example, logistic regression. (eurekamag.com)
  • After three outliers and influential observations (cases 11, 27, and 49) are removed from the data, and the remaining observations are refitted the goodness‐of‐fit of the revised model to the data is improved. (emerald.com)
  • Optimal models were chosen on the basis of goodness of fit measures and power predictive measures. (wroc.pl)
  • To identify attributes associated with supervision effectiveness, we performed random-effects linear regression modeling and examined studies that directly compared different approaches of routine supervision. (cdc.gov)
  • We estimated the association between time and effectiveness using random-intercept linear regression models with time-specific effect sizes clustered within studies and adjusted for baseline performance. (cdc.gov)
  • In the article an attempt to construct a model of insurance risk is made using a logistic regression. (wroc.pl)
  • The present article focuses on investigating the anatomy of these data-driven business models in the logistics sector. (hawaii.edu)
  • This article needs additional citations for verification . (wikipedia.org)
  • Please help improve this article by adding citations to reliable sources . (wikipedia.org)
  • Their combined citations are counted only for the first article. (google.com.hk)
  • Based on the parameter differences between the two comparison groups of pregnant women two Logistic models, Model I and Model 11, were derived to differentiate the hypothyroid group from their non-hypothyroid counterparts. (biomedcentral.com)
  • Differences were measured with a logistic regression model considering random effects. (uzh.ch)
  • The PPAR alpha-humanized mouse: a model to investigate species differences in liver toxicity mediated by PPAR alpha. (who.int)
  • We use two control functions in our model to show the effectiveness of drug therapy on inhibiting virus production and preventing new infections. (springeropen.com)
  • One feature of competing risks is the cumulative incidence function, which is modeled in most studies using non- or semi-parametric methods. (biomedcentral.com)
  • R 2 , max‐rescaled R 2 , the Somers' D , and the concordance index c , shows that the revised model has better predictive abilities than the original model. (emerald.com)
  • The predictive efficacy of both models decreased and the difference was greater in advanced HER2 + patients, which means the HBN model had higher robustness and more stable predictive performance in the subgroup. (biomedcentral.com)
  • A suitable logistic regression model in which the relationship between the response variable and the explanatory variables is found. (emerald.com)
  • Start-ups serve as the frame of reference, as they are particularly suitable for deriving explicitly novel and vital business models. (hawaii.edu)
  • The study focuses on two particular types of data-driven business models, namely those offering visibility or optimization services in logistics. (hawaii.edu)
  • We prove that this optimization problem admits a tractable reformulation and encapsulates the classical as well as the popular regularized logistic regression problems as special cases. (optimization-online.org)
  • In this paper we investigate the existence of positive solutions to a system of differential equations which model a competitive system. (projecteuclid.org)
  • Mathematical and theoretical biology , or biomathematics , is a branch of biology which employs theoretical analysis, mathematical models and abstractions of the living organisms to investigate the principles that govern the structure, development and behavior of the systems, as opposed to experimental biology which deals with the conduction of experiments to prove and validate the scientific theories. (wikipedia.org)
  • Such arrangements have been noticed since the Middle Ages and can be used to make mathematical models of a wide variety of plants. (wikipedia.org)
  • This requires precise mathematical models . (wikipedia.org)
  • Allison, Paul D. "Measures of fit for logistic regression" (PDF). (wikipedia.org)
  • There has been quite a lot of controversy and debate about the IF, resulting for instance in the San Francisco Declaration on Research Assessment and in a high-profile paper advocating the publication of journal citation distributions. (cwts.nl)
  • We have used the stable distributions family of Hougaard to propose a new four-parameter distribution by extending a two-parameter log-logistic distribution, and carried out a simulation study to compare the cumulative incidence estimated with this distribution with the estimates obtained using a non-parametric method. (biomedcentral.com)
  • The best known distributions for modeling CIF are the Weibull and Gompertz distributions. (biomedcentral.com)
  • In such cases, simple distributions such as the two-parameter log-logistic or log-normal distributions are likely to be better choices. (biomedcentral.com)
  • presented a three-parameter family of survival distributions that included the Weibull, negative binomial, and log-logistic distributions as special cases [ 8 ]. (biomedcentral.com)
  • Additionally, the correlation between the dependent variables can create significant multicollinearity, which violates the assumptions of standard regression models and results in inefficient estimators. (cdc.gov)
  • Based on the results of a survey, this paper shows that coercive citations are an 'uncomfortably common' phenomenon in some fields in the social sciences. (cwts.nl)
  • Scholars@Duke publication: EXpectation Propagation LOgistic REgRession (EXPLORER): distributed privacy-preserving online model learning. (duke.edu)
  • In this paper, we propose an optimal control problem for an HIV infection model with cellular and humoral immune responses, logistic growth of uninfected cells, cell-to-cell spread, saturated infection, and cure rate. (springeropen.com)
  • The model describes the interaction between uninfected cells, infected cells, free viruses, and cellular and humoral immune responses. (springeropen.com)
  • In the presented model, we use the logistic function to describe the rate of mitotic proliferation of healthy cells, the saturation function for virus-to-cell transmission, cell-to-cell transmission, and cellular and humoral immune. (springeropen.com)
  • An often overlooked problem in building statistical models is that of endogeneity, a term arising from econometric analysis, in which the value of one independent variable is dependent on the value of other predictor variables. (cdc.gov)
  • Formal abstractions are linked to specialized system models to specify corresponding analysis models and tool interfaces. (nist.gov)
  • Data processing and analysis were performed using Rstudio 4.2.0, including data preprocessing, model construction and validation. (biomedcentral.com)
  • The total number of citations at the time of data analysis (October 18, 2013) was 4,352, with an average of 13 citations per document and a median (interquartile range) of 4.0 (1.0-16.0). (who.int)
  • Instead of assuming the usual logistic growth model for each population we allow the growth rate to increase for positive populations. (projecteuclid.org)
  • The existence and uniqueness of continuous and classical solutions are established for the logistic, two-sex, age-structured population model, using a fixed point argument for an equivalent system of integral equations. (elsevierpure.com)
  • It assesses the usefulness of a risk model when applied to the population. (eurekamag.com)
  • the AUCs for the external validation of the two models on the subgroup population were 0.601 and 0.813. (biomedcentral.com)
  • The current study sought to examine the contribution of graduated driver licensing (GDL) restrictions, sex, age, roadway circumstances, and citation history to teen drivers' crash culpability. (bvsalud.org)
  • The IF of a journal essentially equals the average number of citations received in a certain year by papers published in the journal in the two preceding years. (cwts.nl)
  • Mathematical biology aims at the mathematical representation and modeling of biological processes , using techniques and tools of applied mathematics . (wikipedia.org)
  • In practical terms, a technique to convert subjective knowledge into objective scores is presented, creating a specific and operational model capable to deal with new situations. (bvsalud.org)
  • The GWLM model coefficients were spatially nonstationary, ranging from negative to positive depending on locations. (usm.edu)
  • In order to achieve this goal, the study develops a taxonomy of data-driven business models in logistics. (hawaii.edu)
  • In the prospective validation study both models showed a sensitivity of 100% each with specificities of 85.5% for Model I and 76.2% for Model II. (biomedcentral.com)
  • This finding indicates that although this model fits the data, it has a slight overdispersion. (emerald.com)
  • Traditional industry branches such as logistics need to adapt accordingly to keep up with change through digitization and to design adequate business models using data. (hawaii.edu)
  • The data was calculated based on Google Scholar Citations . (ccsenet.org)
  • This model included data from 44 stations, explained 4 percent of the variation, and. (sciencebase.gov)
  • These data represent the extent of urbanization (for the years indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Doato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). (sciencebase.gov)
  • With the continuous development of machine learning and data mining techniques, more and more researchers have tried to use machine learning models such as Random Forest (RF), Artificial Neural Network (ANN), Decision Tree (DT), and Support Vector Machine (SVM) to build adverse event prediction models. (biomedcentral.com)
  • In addition to providing a ranking, the derived metric is also useful for reducing the number of dimensions (questionnaire items in some situations) and for modeling the data source. (bvsalud.org)
  • Mortality rate by the new model was close to the actual mortality rate. (ui.ac.id)
  • Pierre François Verhulst formulated the logistic growth model in 1836. (wikipedia.org)
  • Claim your Citation Index profile in order to display more information about you and gain access to Libraries services. (ncsu.edu)
  • This "Cited by" count includes citations to the following articles in Scholar. (google.com.hk)
  • Louisiana Waterthrush - VizBand/Land AIC Model Selection Created: 05-Oct-2011 Louisiana Waterthrush annual capture rate of adult (ADULT) individuals (log transformed) ranged between -0.220 and +2.009 with a mean value of +0.895 and a median value of +0.794. (sciencebase.gov)
  • Model 1 (2 parameters) Louisiana Waterthrush annual capture rate of adult (ADULT) individuals (log transformed) was a function of: a) DIST2RIV15 (-0.30142) - distance (m) to stream, ranged between -1.104 and +0.772 (95% CL) with a mean value of -0.166 and a median value of -0.121, b) NLCD06DE33P (+0.46681) - percent deciduous forest cover, 990m-resolution (33x aggregation of 30m-resolution), ranged between +1.446 and. (sciencebase.gov)
  • Blue-winged Warbler - VizBand/Land AIC Model Selection Created: 03-Jun-2011 Blue-winged Warbler annual capture rate of adult (ADULT) individuals (log transformed) ranged between -0.418 and +2.515 with a mean value of +1.049 and a median value of +0.902. (sciencebase.gov)
  • Model 1 (1 parameters) Blue-winged Warbler annual capture rate of adult (ADULT) individuals (log transformed) was a function of: a) NLCD06DE5KP (+0.27513) - percent deciduous forest cover, 990m-resolution in a landscape context of 5km radius, ranged between +2.449 and +5.203 (95% CL) with a mean value of +3.826 and a median value of +4.190. (sciencebase.gov)
  • is defined as the multiple correlation coefficient for the model X 1 = f(X 2 ,X 3 ,…), and all X i are independent variables in the larger model ( 3 , 4 ). (cdc.gov)
  • The authors note that they excluded variables from the final model if the significance in initial models for those variables was less than an α level (p value) of 0.05. (cdc.gov)
  • However, bloody diarrhea is not the only endogenous variable in their models, and extensive modeling would be necessary to isolate the independent effects of the various predictor variables. (cdc.gov)
  • The significant variables were further subjected to an unconditional logistic regression model. (who.int)