Power and Sample Size Calculation for Non-Proportional Hazards and Beyond

Documentation for package ‘lrstat’ version 0.2.9

Help Pages

-- A --

accrual	Number of enrolled subjects
adaptDesign	Adaptive design at an interim look
aml	Acute myelogenous leukemia survival data from the survival package

-- B --

binary_tte_sim	Simulation for a binary endpoint and a time-to-event endpoint
BOINTable	BOIN decision table

-- C --

caltime	Calendar times for target number of events
ClopperPearsonCI	Clopper-Pearson confidence interval for one-sample proportion
covrmst	Covariance between restricted mean survival times

-- E --

errorSpent	Error spending
exitprob	Stagewise exit probabilities

-- F --

fadjpbon	Adjusted p-values for Bonferroni-based graphical approaches
fadjpdun	Adjusted p-values for Dunnett-based graphical approaches
fadjpsim	Adjusted p-values for Simes-based graphical approaches
fmodmix	Adjusted p-values for modified mixture gatekeeping procedures
fquantile	The quantiles of a survival distribution
fseqbon	Group sequential trials using Bonferroni-based graphical approaches
fstdmix	Adjusted p-values for standard mixture gatekeeping procedures
fstp2seq	Adjusted p-values for stepwise testing procedures for two sequences
ftrunc	Adjusted p-values for Holm, Hochberg, and Hommel procedures
fwgtmat	Weight matrix for all intersection hypotheses

-- G --

getAccrualDurationFromN	Accrual duration to enroll target number of subjects
getADCI	Confidence interval after adaptation
getADRCI	Repeated confidence interval after adaptation
getBound	Efficacy boundaries for group sequential design
getCI	Confidence interval after trial termination
getCP	Conditional power allowing for varying parameter values
getDesign	Power and sample size for a generic group sequential design
getDesignAgreement	Power and sample size for Cohen's kappa
getDesignANOVA	Power and sample size for one-way ANOVA
getDesignANOVAContrast	Power and sample size for one-way ANOVA contrast
getDesignEquiv	Power and sample size for a generic group sequential equivalence design
getDesignFisherExact	Power and sample size for Fisher's exact test for two proportions
getDesignLogistic	Power and sample size for logistic regression
getDesignMeanDiff	Group sequential design for two-sample mean difference
getDesignMeanDiffCarryover	Power and sample size for direct treatment effects in crossover trials accounting for carryover effects
getDesignMeanDiffEquiv	Group sequential design for equivalence in two-sample mean difference
getDesignMeanDiffMMRM	Group sequential design for two-sample mean difference from the MMRM model
getDesignMeanDiffXO	Group sequential design for mean difference in 2x2 crossover
getDesignMeanDiffXOEquiv	Group sequential design for equivalence in mean difference in 2x2 crossover
getDesignMeanRatio	Group sequential design for two-sample mean ratio
getDesignMeanRatioEquiv	Group sequential design for equivalence in two-sample mean ratio
getDesignMeanRatioXO	Group sequential design for mean ratio in 2x2 crossover
getDesignMeanRatioXOEquiv	Group sequential design for equivalence in mean ratio in 2x2 crossover
getDesignOddsRatio	Group sequential design for two-sample odds ratio
getDesignOddsRatioEquiv	Group sequential design for equivalence in two-sample odds ratio
getDesignOneMean	Group sequential design for one-sample mean
getDesignOneMultinom	Power and sample for one-sample multinomial response
getDesignOneProportion	Group sequential design for one-sample proportion
getDesignOneRateExact	Power and sample size for one-sample Poisson rate exact test
getDesignOneSlope	Group sequential design for one-sample slope
getDesignOrderedBinom	Power and sample size for Cochran-Armitage trend test for ordered multi-sample binomial response
getDesignPairedMeanDiff	Group sequential design for paired mean difference
getDesignPairedMeanDiffEquiv	Group sequential design for equivalence in paired mean difference
getDesignPairedMeanRatio	Group sequential design for paired mean ratio
getDesignPairedMeanRatioEquiv	Group sequential design for equivalence in paired mean ratio
getDesignPairedPropMcNemar	Group sequential design for McNemar's test for paired proportions
getDesignRepeatedANOVA	Power and sample size for repeated-measures ANOVA
getDesignRepeatedANOVAContrast	Power and sample size for one-way repeated measures ANOVA contrast
getDesignRiskDiff	Group sequential design for two-sample risk difference
getDesignRiskDiffEquiv	Group sequential design for equivalence in two-sample risk difference
getDesignRiskDiffExact	Power and sample size for exact unconditional test for risk difference
getDesignRiskDiffExactEquiv	Power and sample size for exact unconditional test for equivalence in risk difference
getDesignRiskRatio	Group sequential design for two-sample risk ratio
getDesignRiskRatioEquiv	Group sequential design for equivalence in two-sample risk ratio
getDesignRiskRatioExact	Power and sample size for exact unconditional test for risk ratio
getDesignRiskRatioExactEquiv	Power and sample size for exact unconditional test for equivalence in risk ratio
getDesignRiskRatioFM	Group sequential design for two-sample risk ratio based on the Farrington-Manning score test
getDesignSlopeDiff	Group sequential design for two-sample slope difference
getDesignSlopeDiffMMRM	Group sequential design for two-sample slope difference from the MMRM model
getDesignTwoMultinom	Power and sample for difference in two-sample multinomial responses
getDesignTwoOrdinal	Power and sample size for the Wilcoxon test for two-sample ordinal response
getDesignTwoWayANOVA	Power and sample size for two-way ANOVA
getDesignUnorderedBinom	Power and sample size for unordered multi-sample binomial response
getDesignUnorderedMultinom	Power and sample size for unordered multi-sample multinomial response
getDesignWilcoxon	Group sequential design for two-sample Wilcoxon test
getDurationFromNevents	Range of accrual duration for target number of events
getNeventsFromHazardRatio	Get the required number of events given hazard ratio
getRCI	Repeated confidence interval for group sequential design

-- H --

heart	Stanford heart transplant data from the survival package
hedgesg	Hedges' g effect size

-- I --

immdef

Simulated Concorde trial data from the rpsftm package

-- K --

kmdiff	Estimate of milestone survival difference
kmest	Kaplan-Meier estimates of the survival curve
kmpower	Power for difference in milestone survival probabilities
kmpower1s	Power for one-sample milestone survival probability
kmpowerequiv	Power for equivalence in milestone survival probability difference
kmsamplesize	Sample size for difference in milestone survival probabilities
kmsamplesize1s	Sample size for one-sample milestone survival probability
kmsamplesizeequiv	Sample size for equivalence in milestone survival probability difference
kmstat	Stratified difference in milestone survival probabilities

-- L --

liferegr	Parametric regression models for failure time data
lrpower	Log-rank test power
lrpowerequiv	Power for equivalence in hazard ratio
lrsamplesize	Log-rank test sample size
lrsamplesizeequiv	Sample size for equivalence in hazard ratio
lrsim	Log-rank test simulation
lrsim2e	Log-rank test simulation for two endpoints
lrsim2e3a	Log-rank test simulation for two endpoints and three arms
lrsim3a	Log-rank test simulation for three arms
lrstat	Number of subjects having an event and log-rank statistics
lrtest	Log-rank test of survival curve difference

-- M --

mnOddsRatioCI	Miettinen-Nurminen score confidence interval for two-sample odds ratio
mnRateDiffCI	Miettinen-Nurminen score confidence interval for two-sample rate difference
mnRateRatioCI	Miettinen-Nurminen score confidence interval for two-sample rate ratio
mnRiskDiffCI	Miettinen-Nurminen score confidence interval for two-sample risk difference
mnRiskRatioCI	Miettinen-Nurminen score confidence interval for two-sample risk ratio
mTPI2Table	mTPI-2 decision table

-- N --

nbpower	Power for negative binomial rate ratio
nbpower1s	Power for one-sample negative binomial rate
nbpowerequiv	Power for equivalence in negative binomial rate ratio
nbsamplesize	Sample size for negative binomial rate ratio
nbsamplesize1s	Sample size for one-sample negative binomial rate
nbsamplesizeequiv	Sample size for equivalence in negative binomial rate ratio
nbstat	Negative binomial rate ratio

-- P --

phregr	Proportional hazards regression model
ptpwexp	Distribution function of truncated piecewise exponential distribution
pwexpcuts	Piecewise exponential approximation to a survival distribution
pwexploglik	Profile log-likelihood function for the change points in piecewise exponential approximation

-- Q --

qtpwexp

Quantile function of truncated piecewise exponential distribution

-- R --

rawdata	A simulated time-to-event data set with 10 replications
remlOddsRatio	REML estimates of individual proportions with specified odds ratio
remlRateDiff	REML estimates of individual rates with specified rate difference
remlRateRatio	REML estimates of individual rates with specified rate ratio
remlRiskDiff	REML estimates of individual proportions with specified risk difference
remlRiskRatio	REML estimates of individual proportions with specified risk ratio
repeatedPValue	Repeated p-values for group sequential design
riskDiffExactCI	Exact unconditional confidence interval for risk difference
riskDiffExactPValue	P-value for exact unconditional test of risk difference
riskRatioExactCI	Exact unconditional confidence interval for risk ratio
riskRatioExactPValue	P-value for exact unconditional test of risk ratio
rmdiff	Estimate of restricted mean survival time difference
rmest	Estimate of restricted mean survival time
rmpower	Power for difference in restricted mean survival times
rmpower1s	Power for one-sample restricted mean survival time
rmpowerequiv	Power for equivalence in restricted mean survival time difference
rmsamplesize	Sample size for difference in restricted mean survival times
rmsamplesize1s	Sample size for one-sample restricted mean survival time
rmsamplesizeequiv	Sample size for equivalence in restricted mean survival time difference
rmst	Restricted mean survival time
rmstat	Stratified difference in restricted mean survival times
rpsft	Rank preserving structured failure time model (RPSFTM) for treatment switching
rtpwexp	Random number generation function of truncated piecewise exponential distribution
runShinyApp	Run Shiny app

-- S --

simon2stage	Simon's two-stage design
simonBayesAnalysis	Analysis of Simon's Bayesian basket trials
simonBayesSim	Simulation of Simon's Bayesian basket trials
survQuantile	Brookmeyer-Crowley confidence interval for quantiles of right-censored time-to-event data

-- T --

tobin

Tobin's tobit data from the survival package

-- U --

updateGraph

Update graph for graphical approaches

-- Z --

zstatOddsRatio	Miettinen-Nurminen score test statistic for two-sample odds ratio
zstatRateDiff	Miettinen-Nurminen score test statistic for two-sample rate difference
zstatRateRatio	Miettinen-Nurminen score test statistic for two-sample rate ratio
zstatRiskDiff	Miettinen-Nurminen score test statistic for two-sample risk difference
zstatRiskRatio	Miettinen-Nurminen score test statistic for two-sample risk ratio