A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with state-of
Logistic regression is widely used in the analysis of medical data with binary outcomes to study tre...
<p>Logistic regression model for delivery of papers at national scholarly meetings, with covariates....
<p>Logistic regression models examining the association between the 5 dimensions of SATED and poor s...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN014460 / BLDSC - British Library D...
This bibliography collects articles illustrating the application of various multivariate techniques ...
This textbook provides students and professionals in the health sciences with a presentation of the ...
The primary objective of this paper is a focused introduction to the logistic regression model and i...
Logistic regression is a cornerstone of epidemiology and the method of choice for risk adjustment mo...
textabstractIn his recent textbook "Primer of Biostatistics", S, A, Glantz refers to the nowadays gr...
Multilevel logistic regression models generated for understanding the overlapping use of modern medi...
Multilevel logistic regression models with socioeconomical variables for understanding of the overla...
<p>Logistic regression model for submitting a paper for publication, with covariates.</p
Logistic Regression (LR) has been widely used in statistics for many years, and has received exten...
Multivariate logistic regression model for determining significant predictors and deriving weighted ...
This highly anticipated second edition features new chapters and sections, 225 new references, and c...
Logistic regression is widely used in the analysis of medical data with binary outcomes to study tre...
<p>Logistic regression model for delivery of papers at national scholarly meetings, with covariates....
<p>Logistic regression models examining the association between the 5 dimensions of SATED and poor s...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN014460 / BLDSC - British Library D...
This bibliography collects articles illustrating the application of various multivariate techniques ...
This textbook provides students and professionals in the health sciences with a presentation of the ...
The primary objective of this paper is a focused introduction to the logistic regression model and i...
Logistic regression is a cornerstone of epidemiology and the method of choice for risk adjustment mo...
textabstractIn his recent textbook "Primer of Biostatistics", S, A, Glantz refers to the nowadays gr...
Multilevel logistic regression models generated for understanding the overlapping use of modern medi...
Multilevel logistic regression models with socioeconomical variables for understanding of the overla...
<p>Logistic regression model for submitting a paper for publication, with covariates.</p
Logistic Regression (LR) has been widely used in statistics for many years, and has received exten...
Multivariate logistic regression model for determining significant predictors and deriving weighted ...
This highly anticipated second edition features new chapters and sections, 225 new references, and c...
Logistic regression is widely used in the analysis of medical data with binary outcomes to study tre...
<p>Logistic regression model for delivery of papers at national scholarly meetings, with covariates....
<p>Logistic regression models examining the association between the 5 dimensions of SATED and poor s...