Adaptive pair‐matching in randomized trials with unbiased and efficient effect estimation
暂无分享,去创建一个
M. J. Laan | M. Petersen | Laura B. Balzer | Maya L. Petersen | Mark J. van der Laan | L. Balzer | M. Petersen
[1] Mathen Kk. MATCHING IN COMPARATIVE STUDIES IN PUBLIC HEALTH. , 1963 .
[2] Comment: The Essential Role of Pair Matching , 2009, 0910.3754.
[3] Billewicz Wz,et al. The efficiency of matched samples: an empirical investigation. , 1965 .
[4] M. Petersen,et al. Assessment of population-based HIV RNA levels in a rural east African setting using a fingerprick-based blood collection method. , 2013, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[5] Allan Donner,et al. Design and Analysis of Cluster Randomization Trials in Health Research , 2001 .
[6] Lei Wang,et al. Prevention of HIV-1 infection with early antiretroviral therapy. , 2011, The New England journal of medicine.
[7] AIDS Treatment and Intrahousehold Resource Allocations: Children's Nutrition and Schooling in Kenya , 2007, Journal of public economics.
[8] A. Hung,et al. Reweighted Mahalanobis distance matching for cluster‐randomized trials with missing data , 2012, Pharmacoepidemiology and drug safety.
[9] Douglas E. Faries,et al. A Case Study of an Adaptive Clinical Trial in the Treatment of Out-Patients with Depressive Disorder , 1994 .
[10] M. J. van der Laan,et al. The International Journal of Biostatistics Targeted Maximum Likelihood Learning , 2011 .
[11] Mark J van der Laan,et al. Empirical Efficiency Maximization: Improved Locally Efficient Covariate Adjustment in Randomized Experiments and Survival Analysis , 2008, The international journal of biostatistics.
[12] M. J. Laan,et al. Targeted Learning: Causal Inference for Observational and Experimental Data , 2011 .
[13] M. Lampe,et al. Perinatal HIV and its prevention: progress toward an HIV-free generation. , 2010, Clinics in perinatology.
[14] Laura B. Balzer,et al. ADAPTIVE MATCHING IN RANDOMIZED TRIALS AND OBSERVATIONAL STUDIES. , 2012, Journal of statistical research.
[15] W G COCHRAN,et al. Matching in analytical studies. , 1953, American journal of public health and the nation's health.
[16] Mitchell H. Gail,et al. Community Intervention Trial for Smoking Cessation (COMMIT): I. cohort results from a four-year community intervention. , 1995, American journal of public health.
[17] G. Imbens,et al. Bias-Corrected Matching Estimators for Average Treatment Effects , 2011 .
[18] M H Gail,et al. The efficiency of the matched-pairs design of the Community Intervention Trial for Smoking Cessation (COMMIT). , 1997, Controlled clinical trials.
[19] C. Flateau,et al. Consequences of HIV infection on malaria and therapeutic implications: a systematic review. , 2011, The Lancet. Infectious diseases.
[20] Markus Goldstein,et al. The Economic Impact of AIDS Treatment , 2005, The Journal of Human Resources.
[21] Anthony D Harries,et al. Reducing tuberculosis-associated early mortality in antiretroviral treatment programmes in sub-Saharan Africa. , 2011, AIDS.
[22] Mark J van der Laan,et al. The International Journal of Biostatistics A Targeted Maximum Likelihood Estimator of a Causal Effect on a Bounded Continuous Outcome , 2011 .
[23] Guido W. Imbens,et al. Estimation of the Conditional Variance in Paired Experiments , 2008 .
[24] Michael Rosenblum,et al. The International Journal of Biostatistics Simple , Efficient Estimators of Treatment Effects in Randomized Trials Using Generalized Linear Models to Leverage Baseline Variables , 2011 .
[25] T D Koepsell,et al. The effect of matching on the power of randomized community intervention studies. , 1993, Statistics in medicine.
[26] L. Myer,et al. Antiretroviral Therapy and TB Notification Rates in a High HIV Prevalence South African Community , 2011, Journal of acquired immune deficiency syndromes.
[27] L. Watson,et al. Mounting a community-randomized trial: sample size, matching, selection, and randomization issues in PRISM. , 2004, Controlled clinical trials.
[28] Mark J. van der Laan,et al. Why Match in Individually and Cluster Randomized Trials , 2012 .
[29] Jeffrey H Silber,et al. Optimal multivariate matching before randomization. , 2004, Biostatistics.
[30] M. Traskin,et al. A Powerful and Robust Test Statistic for Randomization Inference in Group‐Randomized Trials with Matched Pairs of Groups , 2012, Biometrics.
[31] Dylan S. Small,et al. Comment: The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation , 2009 .
[32] Matched Samples in Medical Investigations , 1964, British journal of preventive & social medicine.
[33] C. Weinberg,et al. Paired versus two-sample design for a clinical trial of treatments with dichotomous outcome: power considerations. , 1982, Biometrics.
[34] L. J. Wei,et al. Statistical Inference with Data-Dependent Treatment Allocation Rules , 1990 .
[35] Michael Rosenblum,et al. Targeted Maximum Likelihood Estimation of the Parameter of a Marginal Structural Model , 2010, The international journal of biostatistics.
[36] David M. Murray,et al. Design and Analysis of Group- Randomized Trials , 1998 .
[37] A Donner,et al. Developments in cluster randomized trials and Statistics in Medicine , 2007, Statistics in medicine.
[38] O S Miettinen,et al. The matched pairs design in the case of all-or-none responses. , 1968, Biometrics.
[39] Sander Greenland,et al. Modern Epidemiology 3rd edition , 1986 .
[40] Kosuke Imai,et al. (www.interscience.wiley.com) DOI: 10.1002/sim.3337 Variance identification and efficiency analysis in randomized experiments under the matched-pair design , 2022 .
[41] Timothy L. Lash,et al. Comprar Modern Epidemiology | Timothy L. Lash | 9781451190052 | Lippincott Williams & Wilkins , 2012 .
[42] Susan A. Murphy,et al. A Conceptual Framework for Adaptive Preventive Interventions , 2004, Prevention Science.
[43] Mark J. van der Laan,et al. tmle : An R Package for Targeted Maximum Likelihood Estimation , 2012 .
[44] J. Montaner,et al. ART in Prevention of HIV and TB: Update on Current Research Efforts , 2011 .
[45] Gary King,et al. The essential role of pair matching in cluster-randomized experiments, with application to the Mexican Universal Health Insurance Evaluation , 2009, 0910.3752.
[46] P Diehr,et al. Breaking the matches in a paired t-test for community interventions when the number of pairs is small. , 1995, Statistics in medicine.
[47] M. J. van der Laan,et al. Statistical Applications in Genetics and Molecular Biology Super Learner , 2010 .
[48] R. Atun,et al. Prevention of mother-to-child transmission of HIV and the health-related Millennium Development Goals: time for a public health approach , 2011, The Lancet.
[49] Dylan S. Small,et al. Randomization Inference in a Group–Randomized Trial of Treatments for Depression , 2008 .
[50] W. Billewicz. The efficiency of matched samples: an empirical investigation. , 1965, Biometrics.
[51] Xinyi Xu,et al. Optimal Nonbipartite Matching and Its Statistical Applications , 2011, The American statistician.
[52] Michael Rayment,et al. Prevention of HIV-1 infection with early antiretroviral therapy , 2012, Journal of Family Planning and Reproductive Health Care.
[53] M J van der Laan,et al. Covariate adjustment in randomized trials with binary outcomes: Targeted maximum likelihood estimation , 2009, Statistics in medicine.
[54] Gary King,et al. A Politically Robust Experimental Design for Public Policy Evaluation, With Application to the Mexican Universal Health Insurance Program , 2007, Journal of policy analysis and management : [the journal of the Association for Public Policy Analysis and Management].
[55] M. J. van der Laan,et al. Targeting the Optimal Design in Randomized Clinical Trials with Binary Outcomes and No Covariate: Simulation Study , 2011 .
[56] Mark J van der Laan,et al. Super Learning: An Application to the Prediction of HIV-1 Drug Resistance , 2007, Statistical applications in genetics and molecular biology.
[57] S. Thompson. The merits of matching in community intervention trials: a cautionary tale. , 1998, Statistics in medicine.
[58] L. H. Youkeles. 184 Note: Loss of Power through Ineffective Pairing of Observations in Small Two-Treatment All-or-None Experiments , 1963 .
[59] S M McKinlay,et al. Pair-matching-a reappraisal of a popular technique. , 1977, Biometrics.
[60] Aad van der Vaart,et al. Estimating a survival distribution with current status data and high-dimensional covariates , 2006 .
[61] J. Todd,et al. Impact of improved treatment of sexually transmitted diseases on HIV infection in rural Tanzania: ra , 1995 .
[62] Maya L. Petersen,et al. Longitudinal Targeted Maximum Likelihood Estimation , 2015 .
[63] Mark J. van der Laan,et al. Causal Inference for a Population of Causally Connected Units , 2014 .
[64] Richard J. Hayes,et al. Cluster randomised trials , 2009 .