Packaged: 2020-04-07 01:12:48 UTC; weiliangqiu

Title: Power and sample size calculation for survival analysis of
Author: Weiliang Qiu <stwxq@channing.harvard.edu>, Jorge Chavarro
Description: This package includes a set of functions to calculate
power and sample size for testing main effect or interaction
effect in the survival analysis of epidemiological studies
(non-randomized studies), taking into account the correlation
between the covariate of the interest and other covariates.
Some calculations also take into account the competing risks.
This package also includes a set of functions to calculate
power and sample size for testing main effect in the survival
Packaged: Fri Apr 17 11:04:40 2009; stwxq

Some calculations also take into account the competing risks
and stratified analysis.  This package also includes a set of
functions to calculate power and sample size for testing main
effect in the survival analysis of randomized clinical trials.

Title: Power and Sample Size Calculation for Survival Analysis of
Author: Weiliang Qiu <stwxq@channing.harvard.edu>, Jorge Chavarro <JCHAVARR@hsph.harvard.edu>, Ross Lazarus <ross.lazarus@channing.harvard.edu>, Bernard Rosner <stbar@channing.harvard.edu>, Jing Ma <jing.ma@channing.harvard.edu>.
Description: Functions to calculate power and
sample size for testing main effect or interaction effect in
the survival analysis of epidemiological studies
(non-randomized studies), taking into account the
correlation between the covariate of the
interest and other covariates. Some calculations also take
into account the competing risks and stratified analysis.
a set of functions to calculate power and sample size
for testing main effect in the survival analysis of

Author: Weiliang Qiu, Jorge Chavarro, Ross Lazarus, Bernard Rosner, Jing Ma.

Package: powerSurvEpi
Version: 0.1.3
Date: 2021-02-28
Title: Power and Sample Size Calculation for Survival Analysis of
Epidemiological Studies
Author: Weiliang Qiu, Jorge Chavarro, Ross Lazarus, Bernard Rosner, Jing Ma.
Maintainer: Weiliang Qiu <weiliang.qiu@gmail.com>
Depends: R (>= 3.6.0)
Imports: stats, survival, pracma
Description: Functions to calculate power and
sample size for testing main effect or interaction effect in
the survival analysis of epidemiological studies
(non-randomized studies), taking into account the
correlation between the covariate of the
interest and other covariates. Some calculations also take
into account the competing risks and stratified analysis.
This package also includes
a set of functions to calculate power and sample size
for testing main effect in the survival analysis of
randomized clinical trials and conditional logistic regression for nested case-control study.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2021-03-01 04:55:03 UTC; weiliangqiu
Repository: CRAN
Date/Publication: 2021-03-01 06:30:02 UTC