Analytic Methods for Estimating HIV-Treatment and Cofactor Effects
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[1] J. Robins. Correcting for non-compliance in randomized trials using structural nested mean models , 1994 .
[2] Nicholas P. Jewell,et al. AIDS epidemiology : methodological issues , 1993 .
[3] J. Robins,et al. Estimating the causal effect of smoking cessation in the presence of confounding factors using a rank preserving structural failure time model. , 1993, Statistics in medicine.
[4] J. Robins,et al. A method for the analysis of randomized trials with compliance information: an application to the Multiple Risk Factor Intervention Trial. , 1993, Controlled clinical trials.
[5] J. Robins,et al. G-Estimation of the Effect of Prophylaxis Therapy for Pneumocystis carinii Pneumonia on the Survival of AIDS Patients , 1992, Epidemiology.
[6] James M. Robins,et al. Semiparametric estimation of an accelerated failure time model with time-dependent covariates , 1992 .
[7] J. Robins. Estimation of the time-dependent accelerated failure time model in the presence of confounding factors , 1992 .
[8] J. Robins,et al. Identifiability and Exchangeability for Direct and Indirect Effects , 1992, Epidemiology.
[9] J. Robins,et al. Recovery of Information and Adjustment for Dependent Censoring Using Surrogate Markers , 1992 .
[10] J. Robins,et al. Correcting for non-compliance in randomized trials using rank preserving structural failure time models , 1991 .
[11] Zhiliang Ying,et al. Linear regression analysis of censored survival data based on rank tests , 1990 .
[12] S W Lagakos,et al. Adjusting for early treatment termination in comparative clinical trials. , 1990, Statistics in medicine.
[13] M. Wulfsohn,et al. A randomized controlled trial of a reduced daily dose of zidovudine in patients with the acquired immunodeficiency syndrome , 1990 .
[14] W. Newey,et al. Semiparametric Efficiency Bounds , 1990 .
[15] A. Tsiatis. Estimating Regression Parameters Using Linear Rank Tests for Censored Data , 1990 .
[16] J. Robins. The control of confounding by intermediate variables. , 1989, Statistics in medicine.
[17] J. Levy,et al. Clinical, immunologic, and serologic findings in men at risk for acquired immunodeficiency syndrome. The San Francisco Men's Health Study. , 1987, JAMA.
[18] J. Levy,et al. Sexual practices and risk of infection by the human immunodeficiency virus. The San Francisco Men's Health Study. , 1987, JAMA.
[19] J. Robins. Addendum to “a new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect” , 1987 .
[20] J. Robins. A graphical approach to the identification and estimation of causal parameters in mortality studies with sustained exposure periods. , 1987, Journal of chronic diseases.
[21] J M Robins,et al. Identifiability, exchangeability, and epidemiological confounding. , 1986, International journal of epidemiology.
[22] K Y Liang,et al. Longitudinal data analysis for discrete and continuous outcomes. , 1986, Biometrics.
[23] J. Robins. A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect , 1986 .
[24] P. Holland. Statistics and Causal Inference , 1985 .
[25] J. Heckman,et al. Longitudinal Analysis of Labor Market Data: Alternative methods for evaluating the impact of interventions , 1985 .
[26] D. Cox,et al. Analysis of Survival Data. , 1985 .
[27] Thomas A. Louis,et al. Nonparametric analysis of an accelerated failure time model , 1981 .
[28] Donald B. Rubin,et al. Bayesian Inference for Causal Effects: The Role of Randomization , 1978 .
[29] David R. Cox,et al. Regression models and life tables (with discussion , 1972 .