Learn R Programming

⚠️There's a newer version (1.3.0.1) of this package.Take me there.

PWEALL (version 1.3.0)

Design and Monitoring of Survival Trials Accounting for Complex Situations

Description

Calculates various functions needed for design and monitoring survival trials accounting for complex situations such as delayed treatment effect, treatment crossover, non-uniform accrual, and different censoring distributions between groups. The event time distribution is assumed to be piecewise exponential (PWE) distribution and the entry time is assumed to be piecewise uniform distribution. As compared with Version 1.2.1, two more types of hybrid crossover are added. A bug is corrected in the function "pwecx" that calculates the crossover-adjusted survival, distribution, density, hazard and cumulative hazard functions. Also, to generate the crossover-adjusted event time random variable, a more efficient algorithm is used and the output includes crossover indicators.

Copy Link

Version

Install

install.packages('PWEALL')

Monthly Downloads

231

Version

1.3.0

License

GPL (>= 2)

Maintainer

Xiaodong Luo

Last Published

October 18th, 2018

Functions in PWEALL (1.3.0)

Piecewise exponential distribution: hazard, cumulative hazard, density, distribution, survival

Calculating the timepoint where a certain power of the specified test statistics is obtained

Piecewise uniform distribution: distribution

A utility function to calculate the true restricted mean survival time (RMST) and its variance account for delayed treatment, discontinued treatment and non-uniform entry

simulating the restricted mean survival times

Calculate powers at different cut-points based on difference of restricted mean survival times (RMST)

calculate the overall variance

calculate the other parts of the overall covariance

A function to calculate the beta-smoothed hazard rate

Calculating the timepoint where a certain power of mean difference of RMSTs is obtained

Calculating the powers of various the test statistics for non-inferiority trials

A utility function to calculate the inner integration of the overall covariance

Piecewise exponential distribution: random number generation

A utility function to calculate the inner integration of the overall variance

Various function for piecewise exponential distribution with crossover effect

Piecewise exponential distribution: quantile function

The stopping boundary based on the conditional power criteria

The stopping probability based on the stopping boundary

Piecewise uniform distribution: quantile function

Piecewise exponential distribution with crossover effect: random number generation

Integration of the density of piecewise exponential distribution with crossover effect and the censoring function

calculate the overall covariance

Calculation of the variance and covariance of estimated restricted mean survival time

Integration of the density of piecewise exponential distribution with crossover effect, censoring and recruitment function

Estimate the restricted mean survival time (RMST) and its variance from data

Calculating the powers of various the test statistics for superiority trials

calculate the first part of the overall covariance

A utility function

A utility functon

Piecewise uniform distribution: random number generation

Calculating the powers of various the test statistics for equivalence trials

A utility function

A utility function to calculate some common functions in contructing weights

A utility function to calculate the weighted log-rank statistics and their varainces given the weights

A function to calculate the various weighted log-rank statistics and their varainces

tools:::Rd_package_title("PWEALL")

A utility functon

calculate the overall log hazard ratio

calculate the timeline in study when some or all subjects have entered

calculate the timeline when certain number of events accumulates

calculate the utility function used for varaince calculation

Conditional power given observed log hazard ratio

simulating the test statistics