| Year |
Citation |
Score |
| 2017 |
Faerber JA, Joffe MM, Small DS, Zhang R, Brown GK, Ten Have TR. A Simple Model Allowing Modification of the Effect of a Randomized Intervention by Post-Randomization Variables Journal of Causal Inference. 5. DOI: 10.1515/jci-2015-0016 |
0.305 |
|
| 2016 |
Bellamy SL, Baek S, Troxel AB, Ten Have TR, Jemmott JB. A copula approach to estimate reliability: An application to self-reported sexual behaviors among HIV serodiscordant couples Statistics and Its Interface. 9: 57-67. DOI: 10.4310/Sii.2016.V9.N1.A6 |
0.429 |
|
| 2012 |
Cai B, Hennessy S, Flory JH, Sha D, Ten Have TR, Small DS. Simulation study of instrumental variable approaches with an application to a study of the antidiabetic effect of bezafibrate. Pharmacoepidemiology and Drug Safety. 21: 114-20. PMID 22552986 DOI: 10.1002/Pds.3252 |
0.476 |
|
| 2012 |
Ten Have TR, Joffe MM. A review of causal estimation of effects in mediation analyses. Statistical Methods in Medical Research. 21: 77-107. PMID 21163849 DOI: 10.1177/0962280210391076 |
0.308 |
|
| 2010 |
Almirall D, Ten Have T, Murphy SA. Structural nested mean models for assessing time-varying effect moderation. Biometrics. 66: 131-9. PMID 19397586 DOI: 10.1111/J.1541-0420.2009.01238.X |
0.313 |
|
| 2009 |
Gallop R, Small DS, Lin JY, Elliott MR, Joffe M, Ten Have TR. Mediation analysis with principal stratification. Statistics in Medicine. 28: 1108-30. PMID 19184975 DOI: 10.1002/Sim.3533 |
0.381 |
|
| 2009 |
Cheng J, Small DS, Tan Z, Ten Have TR. Efficient nonparametric estimation of causal effects in randomized trials with noncompliance Biometrika. 96: 19-36. DOI: 10.1093/Biomet/Asn056 |
0.39 |
|
| 2008 |
Lynch KG, Cary M, Gallop R, Ten Have TR. Causal Mediation Analyses for Randomized Trials. Health Services & Outcomes Research Methodology. 8: 57-76. PMID 19484136 DOI: 10.1007/S10742-008-0028-9 |
0.312 |
|
| 2008 |
Small DS, Ten Have TR, Rosenbaum PR. Randomization inference in a group-randomized trial of treatments for depression: Covariate adjustment, noncompliance, and quantile effects Journal of the American Statistical Association. 103: 271-279. DOI: 10.1198/016214507000000897 |
0.325 |
|
| 2007 |
Bellamy SL, Lin JY, Ten Have TR. An introduction to causal modeling in clinical trials. Clinical Trials (London, England). 4: 58-73. PMID 17327246 DOI: 10.1177/1740774506075549 |
0.456 |
|
| 2006 |
Small DS, Ten Have TR, Joffe MM, Cheng J. Random effects logistic models for analysing efficacy of a longitudinal randomized treatment with non-adherence. Statistics in Medicine. 25: 1981-2007. PMID 16220487 DOI: 10.1002/sim.2313 |
0.37 |
|
| 2004 |
Ten Have TR, Ratcliffe SJ, Reboussin BA, Miller ME. Deviations from the population-averaged versus cluster-specific relationship for clustered binary data. Statistical Methods in Medical Research. 13: 3-16. PMID 14746438 DOI: 10.1191/0962280204Sm355Ra |
0.324 |
|
| 2003 |
Ten Have TR, Joffe M, Cary M. Causal logistic models for non-compliance under randomized treatment with univariate binary response. Statistics in Medicine. 22: 1255-83. PMID 12687654 DOI: 10.1002/Sim.1401 |
0.372 |
|
| 2002 |
Ten Have TR, Reboussin BA, Miller ME, Kunselman A. Mixed effects logistic regression models for multiple longitudinal binary functional limitation responses with informative drop-out and confounding by baseline outcomes Biometrics. 58: 137-144. PMID 11890309 |
0.302 |
|
| 2002 |
Reboussin BA, Miller ME, Lohman KK, Ten Have TR. Latent class models for longitudinal studies of the elderly with data missing at random Journal of the Royal Statistical Society. Series C: Applied Statistics. 51: 69-90. DOI: 10.1111/1467-9876.04742 |
0.314 |
|
| 2002 |
Localio AR, Berlin JA, Ten Have TR. Confounding due to cluster in multicenter studies - Causes and cures Health Services and Outcomes Research Methodology. 3: 195-210. DOI: 10.1023/A:1025897811143 |
0.512 |
|
| 2001 |
Localio AR, Berlin JA, Ten Have TR, Kimmel SE. Adjustments for center in multicenter studies: an overview. Annals of Internal Medicine. 135: 112-23. PMID 11453711 DOI: 10.7326/0003-4819-135-2-200107170-00012 |
0.486 |
|
| 2001 |
Miller ME, Ten Have TR, Reboussin BA, Lohman KK, Rejeski WJ. A Marginal Model for Analyzing Discrete Outcomes from Longitudinal Surveys with Outcomes Subject to Multiple-Cause Nonresponse Journal of the American Statistical Association. 96: 844-857. |
0.304 |
|
| 1999 |
Berlin JA, Kimmel SE, Ten Have TR, Sammel MD. An empirical comparison of several clustered data approaches under confounding due to cluster effects in the analysis of complications of coronary angioplasty Biometrics. 55: 470-476. PMID 11318202 DOI: 10.1111/J.0006-341X.1999.00470.X |
0.364 |
|
| 1999 |
Ten Have TR, Localio AR. Empirical Bayes estimation of random effects parameters in mixed effects logistic regression models. Biometrics. 55: 1022-9. PMID 11315043 |
0.524 |
|
| 1998 |
Ten Have TR, Kunselman A, Zharichenko E. Accommodating negative intracluster correlation with a mixed effects logistic model for bivariate binary data Journal of Biopharmaceutical Statistics. 8: 131-149. PMID 9547432 |
0.355 |
|
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