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

sievePH is an R package implementing 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. PMCID: PMC3940058.
  • Juraska M and Gilbert PB (2016). Mark-specific hazard ratio model with missing multivariate marks. Lifetime Data Analysis 22(4): 606-25. PMCID: PMC4848257.

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Install

install.packages('sievePH')

Monthly Downloads

203

Version

1.0.4

License

GPL-2

Issues

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Maintainer

Michal Juraska

Last Published

February 3rd, 2023

Functions in sievePH (1.0.4)

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
testDensRatioGOF

Goodness-of-Fit Test of the Validity of a Univariate or Multivariate Mark Density Ratio Model
sievePH

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

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

Summarizing Mark-Specific Proportional Hazards Model Fits
plot.summary.sievePH

Plotting Mark-Specific Proportional Hazards Model Fits
testIndepTimeMark

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