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sievePH: Sieve Analysis Methods for Mark-Specific Proportional Hazards Models

sievePH is an R package implementing semiparametric estimation and testing procedures described in

  • Juraska M and Gilbert PB (2013). Mark-specific hazard ratio model with multivariate continuous marks: An application to vaccine efficacy. Biometrics 69, 328-337.
  • Juraska M and Gilbert PB (2016). Mark-specific hazard ratio model with missing multivariate marks. Lifetime Data Analysis 22(4): 606-25.

and nonparametric estimation and testing procedures described in

  • Sun Y and Gilbert PB (2012). Estimation of stratified mark-specific proportional hazards models with missing marks. Scandinavian Journal of Statistics, 39(1):34-52.
  • Gilbert PB and Sun Y (2015). Inferences on relative failure rates in stratified mark-specific proportional hazards models with missing marks, with application to human immunodeficiency virus vaccine efficacy trials. Journal of the Royal Statistical Society Series C: Applied Statistics, 64(1):49-73.

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Install

install.packages('sievePH')

Monthly Downloads

203

Version

1.1

License

GPL-2

Issues

0

Pull Requests

0

Stars

0

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0

Maintainer

Michal Juraska

Last Published

May 17th, 2024

Functions in sievePH (1.1)

ggplot_sieve

Plotting Univariate Mark-Specific Proportional Hazards Model Fits Using ggplot
summary.sievePH

Summarizing Mark-Specific Proportional Hazards Model Fits
testDensRatioGOF

Goodness-of-Fit Test of the Validity of a Univariate or Multivariate Mark Density Ratio Model
summary.kernel_sievePH

Summarizing Nonparametric Kernel-Smoothed Stratified Mark-Specific Proportional Hazards Model Fits
sievePHipw

Semiparametric Inverse Probability Weighted Complete-Case Estimation of Coefficients in a Mark-Specific Proportional Hazards Model with a Multivariate Continuous Mark, Missing-at-Random in Some Failures
kernel_sievePH

Nonparametric Kernel-Smoothed Stratified Mark-Specific Proportional Hazards Model with a Univariate Continuous Mark, Fully Observed in All Failures.
kernel_sievePHaipw

Nonparametric Kernel-Smoothed Stratified Mark-Specific Proportional Hazards Model with a Univariate Continuous Mark, Missing-at-Random in Some Failures
plot.summary.sievePH

Plotting Mark-Specific Proportional Hazards Model Fits
sievePHaipw

Semiparametric Augmented Inverse Probability Weighted Complete-Case Estimation of Coefficients in a Mark-Specific Proportional Hazards Model with a Multivariate Continuous Mark, Missing-at-Random in Some Failures
sievePH

Semiparametric Estimation of Coefficients in a Mark-Specific Proportional Hazards Model with a Multivariate Continuous Mark, Fully Observed in All Failures
testIndepTimeMark

Kolmogorov-Smirnov-Type Test of Conditional Independence between the Time-to-Event and a Multivariate Mark Given Treatment