Internal pilot designs involve conducting interim power analysis (without interim data analysis) to modify the final sample size. Recently developed techniques have been described to avoid the type~I error rate inflation inherent to unadjusted hypothesis tests, while still providing the advantages of an internal pilot design. We present GLUMIP 2.0, the latest version of our free SAS/IML software for planning internal pilot studies in the general linear univariate model (GLUM) framework. The new analytic forms incorporated into the updated software solve many problems inherent to current internal pilot techniques for linear models with Gaussian errors. Hence, the GLUMIP 2.0 software makes it easy to perform exact power analysis for intern...
The power of a test, the probability of rejecting the null hypothesis in favor of an alternative, ma...
In choosing a sample size for a study with a Gaussian outcome, scientists can nearly always specify,...
AbstractMisspecification of the designing parameters in the planning of a controlled clinical trial ...
New analytic forms for distributions at the heart of internal pilot theory solve many problems inher...
Misspecification of a nuisance parameter can lead to study power far from the desired level. Interna...
The POWERLIB SAS/IML software provides convenient power calculations for a wide range of multivariat...
The POWERLIB SAS/IML software provides convenient power calculations for a wide range of multivariat...
To compensate for a power analysis based on a poor estimate of variance, internal pilot designs use ...
In planning a study, the choice of sample size may depend on a variance value based on speculation o...
GLIMMPSE is a free, web-based software tool that calculates power and sample size for the general li...
When designing a clinical trial, there is usually some uncertainty about the variability of the prim...
Data analysts frequently calculate power and sample size for a planned study using mean and variance...
Superiority clinical trials are often designed with a planned interim analysis for the purpose of sa...
Generalized linear mixed models (GLMMs) comprise a class of widely used statistical tools for data a...
created from code written for dissertation. Based on the methodology presented in Jiroutek, et al. (...
The power of a test, the probability of rejecting the null hypothesis in favor of an alternative, ma...
In choosing a sample size for a study with a Gaussian outcome, scientists can nearly always specify,...
AbstractMisspecification of the designing parameters in the planning of a controlled clinical trial ...
New analytic forms for distributions at the heart of internal pilot theory solve many problems inher...
Misspecification of a nuisance parameter can lead to study power far from the desired level. Interna...
The POWERLIB SAS/IML software provides convenient power calculations for a wide range of multivariat...
The POWERLIB SAS/IML software provides convenient power calculations for a wide range of multivariat...
To compensate for a power analysis based on a poor estimate of variance, internal pilot designs use ...
In planning a study, the choice of sample size may depend on a variance value based on speculation o...
GLIMMPSE is a free, web-based software tool that calculates power and sample size for the general li...
When designing a clinical trial, there is usually some uncertainty about the variability of the prim...
Data analysts frequently calculate power and sample size for a planned study using mean and variance...
Superiority clinical trials are often designed with a planned interim analysis for the purpose of sa...
Generalized linear mixed models (GLMMs) comprise a class of widely used statistical tools for data a...
created from code written for dissertation. Based on the methodology presented in Jiroutek, et al. (...
The power of a test, the probability of rejecting the null hypothesis in favor of an alternative, ma...
In choosing a sample size for a study with a Gaussian outcome, scientists can nearly always specify,...
AbstractMisspecification of the designing parameters in the planning of a controlled clinical trial ...