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Items: 1 to 20 of 82

1.

Partially hidden Markov model for time-varying principal stratification in HIV prevention trials.

Dai JY, Gilbert PB, M√Ęsse BR.

J Am Stat Assoc. 2012 Mar 1;107(497):52-65.

2.

Analyzing Direct Effects in Randomized Trials with Secondary Interventions: An Application to HIV Prevention Trials.

Rosenblum M, Jewell NP, van der Laan M, Shiboski S, van der Straten A, Padian N.

J R Stat Soc Ser A Stat Soc. 2009 Apr;172(2):443-465.

3.

Applying optimal model selection in principal stratification for causal inference.

Odondi L, McNamee R.

Stat Med. 2013 May 20;32(11):1815-28. doi: 10.1002/sim.5649. Epub 2012 Oct 8.

PMID:
23042517
4.

Appropriateness of hydroxyethylcellulose gel as a placebo control in vaginal microbicide trials: a comparison of the two control arms of HPTN 035.

Richardson BA, Kelly C, Ramjee G, Fleming T, Makanani B, Roberts S, Musara P, Mkandawire N, Moench T, Coletti A, Soto-Torres L, Karim SA; HPTN 035 Study Team..

J Acquir Immune Defic Syndr. 2013 May 1;63(1):120-5. doi: 10.1097/QAI.0b013e31828607c5.

5.
6.

Mediation and moderation of treatment effects in randomised controlled trials of complex interventions.

Emsley R, Dunn G, White IR.

Stat Methods Med Res. 2010 Jun;19(3):237-70. doi: 10.1177/0962280209105014. Epub 2009 Jul 16. Review.

PMID:
19608601
7.
9.

Principal stratification in causal inference.

Frangakis CE, Rubin DB.

Biometrics. 2002 Mar;58(1):21-9.

10.

Methodology for Evaluating a Partially Controlled Longitudinal Treatment Using Principal Stratification, With Application to a Needle Exchange Program.

Frangakis CE, Brookmeyer RS, Varadhan R, Safaeian M, Vlahov D, Strathdee SA.

J Am Stat Assoc. 2004 Mar;99(465):239-249.

11.

Causal Vaccine Effects on Binary Postinfection Outcomes.

Hudgens MG, Halloran ME.

J Am Stat Assoc. 2006 Mar;101(473):51-64.

12.

A refreshing account of principal stratification.

Mealli F, Mattei A.

Int J Biostat. 2012;8(1). doi: 10.1515/1557-4679.1380.

PMID:
22611592
13.

Joint modeling compliance and outcome for causal analysis in longitudinal studies.

Gao X, Brown GK, Elliott MR.

Stat Med. 2014 Sep 10;33(20):3453-65. doi: 10.1002/sim.5811. Epub 2013 Apr 9.

14.

Surrogacy assessment using principal stratification and a Gaussian copula model.

Conlon A, Taylor J, Elliott MR.

Stat Methods Med Res. 2017 Feb;26(1):88-107. doi: 10.1177/0962280214539655. Epub 2016 Jul 11.

15.

Effects of partnership change on microbicide gel adherence in a clinical trial (HPTN 035).

Gorbach PM, Kelly CW, Borgerding JA, Ramjee G, Tembo T, Kumwenda N, Musara P, Roberts S, Maslankowski L.

AIDS Behav. 2014 May;18(5):855-61. doi: 10.1007/s10461-013-0651-5.

16.

Bayesian inference for causal mediation effects using principal stratification with dichotomous mediators and outcomes.

Elliott MR, Raghunathan TE, Li Y.

Biostatistics. 2010 Apr;11(2):353-72. doi: 10.1093/biostatistics/kxp060. Epub 2010 Jan 25.

17.
18.

An introduction to causal modeling in clinical trials.

Bellamy SL, Lin JY, Ten Have TR.

Clin Trials. 2007;4(1):58-73.

PMID:
17327246
19.

Hard, harder, hardest: principal stratification, statistical identifiability, and the inherent difficulty of finding surrogate endpoints.

Wolfson J, Henn L.

Emerg Themes Epidemiol. 2014 Aug 26;11:14. doi: 10.1186/1742-7622-11-14. eCollection 2014.

20.

Assessing the sensitivity of methods for estimating principal causal effects.

Stuart EA, Jo B.

Stat Methods Med Res. 2015 Dec;24(6):657-74. doi: 10.1177/0962280211421840. Epub 2011 Oct 3.

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