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.