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Are you planning to add power calculation for survival analysis, e.g. for cohort studies?

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Will look into it after these are done. I'm afraid the data structure
required will be too different and hence better if considered as a separate
command.
On 28 Mar 2014 13:52, "Rosa" [email protected] wrote:

Are you planning to add power calculation for survival analysis, e.g. for
cohort studies?

Reply to this email directly or view it on GitHubhttps://github.com//issues/2#issuecomment-38920628
.

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This does power calculations of survival analysis:

http://cran.r-project.org/web/packages/powerSurvEpi/index.html

"powerSurvEpi: Power and sample size calculation for survival analysis of epidemiological studies

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 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."

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There are similar packages in Stata. Do they allow heterogeneity, various
random effects and non normal distributions? No
On 28 Mar 2014 14:08, "David A Springate" [email protected] wrote:

This does power calculations of survival analysis:

http://cran.r-project.org/web/packages/powerSurvEpi/index.html

"powerSurvEpi: Power and sample size calculation for survival analysis of
epidemiological studies

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 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."

Reply to this email directly or view it on GitHubhttps://github.com//issues/2#issuecomment-38922227
.

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Ok!
I think Mark L has developed a command for power calculation for cohort studies. However, I need to have a look at command for details...

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re-created as branch

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