Published in J R Stat Soc Series B Stat Methodol on June 24, 2016
Principal stratification in causal inference. Biometrics (2002) 12.34
Safety and efficacy of the HVTN 503/Phambili study of a clade-B-based HIV-1 vaccine in South Africa: a double-blind, randomised, placebo-controlled test-of-concept phase 2b study. Lancet Infect Dis (2011) 3.71
Compound treatments and transportability of causal inference. Epidemiology (2011) 3.63
Principal stratification--a goal or a tool? Int J Biostat (2011) 2.88
Sensitivity analysis for the assessment of causal vaccine effects on viral load in HIV vaccine trials. Biometrics (2003) 2.76
Multiplicity in randomised trials I: endpoints and treatments. Lancet (2005) 2.32
Principal stratification designs to estimate input data missing due to death. Biometrics (2007) 1.91
On the analysis of viral load endpoints in HIV vaccine trials. Stat Med (2003) 1.89
Recombinant adenovirus type 5 HIV gag/pol/nef vaccine in South Africa: unblinded, long-term follow-up of the phase 2b HVTN 503/Phambili study. Lancet Infect Dis (2014) 1.86
Sensitivity analyses comparing outcomes only existing in a subset selected post-randomization, conditional on covariates, with application to HIV vaccine trials. Biometrics (2006) 1.81
Causal inference for non-mortality outcomes in the presence of death. Biostatistics (2006) 1.42
A simple method for principal strata effects when the outcome has been truncated due to death. Am J Epidemiol (2011) 1.04
CAUSAL EFFECTS OF TREATMENTS FOR INFORMATIVE MISSING DATA DUE TO PROGRESSION/DEATH. J Am Stat Assoc (2010) 0.91
Estimating Causal Effects in Trials Involving Multi-Treatment Arms Subject to Non-compliance: A Bayesian framework. J R Stat Soc Ser C Appl Stat (2010) 0.90