This article considers the different methods for determining sample sizes for Wald, likelihood ratio, and score tests for logistic regression. We review some recent methods, report the results of a simulation study comparing each of the methods for each of the three types of test, and provide Mathematica code for calculating sample size. We consider a variety of covariate distributions, and find that a calculation method based on a first order expansion of the likelihood ratio test statistic performs consistently well in achieving a target level of power for each of the three types of test. © 2015 Taylor & Francis Group, LLC
Little has been known about the small sample properties of the Wald statistic used in the weighted l...
Sample size determination (SSD) is an important aspect of experimental design. In most comparative e...
Abstract This paper focuses on inferential tools in the logistic regression model fitted by the Firt...
The problem of sample size estimation is important in medical applications, especially in cases of e...
<div><p>Background</p><p>A sample size containing at least 100 events and 100 non-events has been su...
The logistic regression models has been widely used in the social and natural sciences and results f...
The logistic regression models has been widely used in the social and natural sciences and results f...
Thesis (Master's)--University of Washington, 2019This master’s thesis evaluates and implements power...
A sample size containing at least 100 events and 100 non-events has been suggested to validate a pre...
The types of covariate and sample size may influence many statistical methods. This study involves a...
Educational researchers, psychologists, social, epidemiological and medical scientists are often dea...
In psychological research, the use of log-linear and logit analyses may be problematic due to the oc...
Background: Despite its popularity, issues concerning the estimation of power in mu...
This paper focuses on interval estimation in logistic regression models fitted through the Firth pe...
Little has been known about the small sample properties of the Wald statistic used in the weighted l...
Little has been known about the small sample properties of the Wald statistic used in the weighted l...
Sample size determination (SSD) is an important aspect of experimental design. In most comparative e...
Abstract This paper focuses on inferential tools in the logistic regression model fitted by the Firt...
The problem of sample size estimation is important in medical applications, especially in cases of e...
<div><p>Background</p><p>A sample size containing at least 100 events and 100 non-events has been su...
The logistic regression models has been widely used in the social and natural sciences and results f...
The logistic regression models has been widely used in the social and natural sciences and results f...
Thesis (Master's)--University of Washington, 2019This master’s thesis evaluates and implements power...
A sample size containing at least 100 events and 100 non-events has been suggested to validate a pre...
The types of covariate and sample size may influence many statistical methods. This study involves a...
Educational researchers, psychologists, social, epidemiological and medical scientists are often dea...
In psychological research, the use of log-linear and logit analyses may be problematic due to the oc...
Background: Despite its popularity, issues concerning the estimation of power in mu...
This paper focuses on interval estimation in logistic regression models fitted through the Firth pe...
Little has been known about the small sample properties of the Wald statistic used in the weighted l...
Little has been known about the small sample properties of the Wald statistic used in the weighted l...
Sample size determination (SSD) is an important aspect of experimental design. In most comparative e...
Abstract This paper focuses on inferential tools in the logistic regression model fitted by the Firt...