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.