Group Sequential Design with Non-Constant Effect
Information and effect size under risk difference
Approximate survival distribution with piecewise exponential distribut...
Summary for fixed design or group sequential design objects
Define enrollment rate
Information and effect size for MaxCombo test
Generates a textual summary of a group sequential design using the AHR...
Write summary table of a fixed or group sequential design object to an...
Blinded estimation of average hazard ratio
Average hazard ratio under non-proportional hazards
Convert summary table of a fixed or group sequential design object to ...
Define failure rate
Piecewise constant expected accrual
Expected events observed under piecewise exponential model
Predict time at which a targeted event count is achieved
Fixed design under non-proportional hazards
Information and effect size based on AHR approximation
Default boundary generation
Bound summary table
Conditional power computation with non-constant effect size
Create npsurvSS arm object
Calculate sample size and bounds given targeted power and Type I error...
Group sequential design using MaxCombo test under non-proportional haz...
Group sequential design of binary outcome measuring in risk difference
Group sequential design using weighted log-rank test under non-proport...
Information and effect size for weighted log-rank test
Group sequential design power using average hazard ratio under non-pro...
Group sequential design power using MaxCombo test under non-proportion...
Group sequential design computation with non-constant effect and infor...
Group sequential design power of binary outcome measuring in risk diff...
Group sequential design power using weighted log rank test under non-p...
Derive spending bound for group sequential boundary
Derive spending bound for MaxCombo group sequential boundary
Group sequential design using average hazard ratio under non-proportio...
gsDesign2: Group Sequential Design with Non-Constant Effect
Piecewise exponential cumulative distribution function
Average hazard ratio under non-proportional hazards
Round sample size and events
Weight functions for weighted log-rank test
The goal of 'gsDesign2' is to enable fixed or group sequential design under non-proportional hazards. To enable highly flexible enrollment, time-to-event and time-to-dropout assumptions, 'gsDesign2' offers piecewise constant enrollment, failure rates, and dropout rates for a stratified population. This package includes three methods for designs: average hazard ratio, weighted logrank tests in Yung and Liu (2019) <doi:10.1111/biom.13196>, and MaxCombo tests. Substantial flexibility on top of what is in the 'gsDesign' package is intended for selecting boundaries.
Useful links