Package: powerSurvEpi 0.1.3

powerSurvEpi: Power and Sample Size Calculation for Survival Analysis of Epidemiological Studies

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.

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

powerSurvEpi_0.1.3.tar.gz
powerSurvEpi_0.1.3.zip(r-4.5)powerSurvEpi_0.1.3.zip(r-4.4)powerSurvEpi_0.1.3.zip(r-4.3)
powerSurvEpi_0.1.3.tgz(r-4.4-any)powerSurvEpi_0.1.3.tgz(r-4.3-any)
powerSurvEpi_0.1.3.tar.gz(r-4.5-noble)powerSurvEpi_0.1.3.tar.gz(r-4.4-noble)
powerSurvEpi_0.1.3.tgz(r-4.4-emscripten)powerSurvEpi_0.1.3.tgz(r-4.3-emscripten)
powerSurvEpi.pdf |powerSurvEpi.html
powerSurvEpi/json (API)
NEWS

# Install 'powerSurvEpi' in R:
install.packages('powerSurvEpi', repos = c('https://weiliang.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Oph - Ophthalmology Data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

27 exports 3.49 score 4 dependencies 2 dependents 22 mentions 67 scripts 652 downloads

Last updated 4 years agofrom:4d75755213. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-winOKSep 09 2024
R-4.5-linuxOKSep 09 2024
R-4.4-winOKSep 09 2024
R-4.4-macOKSep 09 2024
R-4.3-winOKSep 09 2024
R-4.3-macOKSep 09 2024

Exports:numDEpinumDEpi.defaultpower.stratifypowerConLogistic.binpowerConLogistic.conpowerCTpowerCT.defaultpowerCT.default0powerEpipowerEpi.defaultpowerEpiContpowerEpiCont.defaultpowerEpiIntpowerEpiInt.default0powerEpiInt.default1powerEpiInt2ssize.stratifyssizeCTssizeCT.defaultssizeEpissizeEpi.defaultssizeEpiContssizeEpiCont.defaultssizeEpiIntssizeEpiInt.default0ssizeEpiInt.default1ssizeEpiInt2

Dependencies:latticeMatrixpracmasurvival

Readme and manuals

Help Manual

Help pageTopics
Calculate Number of Deaths Required for Cox Proportional Hazards Regression with Two Covariates for Epidemiological StudiesnumDEpi
Calculate Number of Deaths Required for Cox Proportional Hazards Regression with Two Covariates for Epidemiological StudiesnumDEpi.default
Ophthalmology DataOph
Power Calculation for Survival Analysis with Binary Predictor and Exponential Survival Functionpower.stratify
Sample Size Calculation for Conditional Logistic Regression with Binary CovariatepowerConLogistic.bin
Sample Size Calculation for Conditional Logistic Regression with Continuous CovariatepowerConLogistic.con
Power Calculation in the Analysis of Survival Data for Clinical TrialspowerCT
Power Calculation in the Analysis of Survival Data for Clinical TrialspowerCT.default
Power Calculation in the Analysis of Survival Data for Clinical TrialspowerCT.default0
Power Calculation for Cox Proportional Hazards Regression with Two Covariates for Epidemiological StudiespowerEpi
Power Calculation for Cox Proportional Hazards Regression with Two Covariates for Epidemiological StudiespowerEpi.default
Power Calculation for Cox Proportional Hazards Regression with Nonbinary Covariates for Epidemiological StudiespowerEpiCont
Power Calculation for Cox Proportional Hazards Regression with Nonbinary Covariates for Epidemiological StudiespowerEpiCont.default
Power Calculation Testing Interaction Effect for Cox Proportional Hazards Regression with two covariates for Epidemiological Studies (Both covariates should be binary)powerEpiInt
Power Calculation Testing Interaction Effect for Cox Proportional Hazards RegressionpowerEpiInt.default0
Power Calculation Testing Interaction Effect for Cox Proportional Hazards RegressionpowerEpiInt.default1
Power Calculation Testing Interaction Effect for Cox Proportional Hazards RegressionpowerEpiInt2
Sample size calculation for Survival Analysis with Binary Predictor and Exponential Survival Functionssize.stratify
Sample Size Calculation in the Analysis of Survival Data for Clinical TrialsssizeCT
Sample Size Calculation in the Analysis of Survival Data for Clinical TrialsssizeCT.default
Sample Size Calculation for Cox Proportional Hazards RegressionssizeEpi
Sample Size Calculation for Cox Proportional Hazards RegressionssizeEpi.default
Sample Size Calculation for Cox Proportional Hazards Regression with Nonbinary Covariates for Epidemiological StudiesssizeEpiCont
Sample Size Calculation for Cox Proportional Hazards Regression with Nonbinary Covariates for Epidemiological StudiesssizeEpiCont.default
Sample Size Calculation Testing Interaction Effect for Cox Proportional Hazards RegressionssizeEpiInt
Sample Size Calculation Testing Interaction Effect for Cox Proportional Hazards RegressionssizeEpiInt.default0
Sample Size Calculation Testing Interaction Effect for Cox Proportional Hazards RegressionssizeEpiInt.default1
Sample Size Calculation Testing Interaction Effect for Cox Proportional Hazards RegressionssizeEpiInt2