Thomas R TenHave

Summary

Affiliation: University of Pennsylvania
Country: USA

Publications

  1. ncbi Mixed effects logistic regression models for longitudinal binary response data with informative drop-out
    T R Ten Have
    Center for Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia 19104 6021, USA
    Biometrics 54:367-83. 1998
  2. ncbi Deviations from the population-averaged versus cluster-specific relationship for clustered binary data
    Thomas R Ten Have
    Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Blockley Hall, 6th FLR, 423 Guardian Drive, Philadelphia, PA 19104 6021, USA
    Stat Methods Med Res 13:3-16. 2004
  3. ncbi Causal logistic models for non-compliance under randomized treatment with univariate binary response
    Thomas R Ten Have
    Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Blockley Hall, 6th FLR, 423 Guardian Dr, Philadelphia, PA 19104 6021, USA
    Stat Med 22:1255-83. 2003
  4. ncbi Research to improve the quality of care for depression: alternatives to the simple randomized clinical trial
    Thomas R TenHave
    University of Pennsylvania, Medical School, Philadelphia, USA
    Gen Hosp Psychiatry 25:115-23. 2003
  5. ncbi Mixed effects logistic regression models for multiple longitudinal binary functional limitation responses with informative drop-out and confounding by baseline outcomes
    HaveThomasR Ten
    Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia 19104 6021, USA
    Biometrics 58:137-44. 2002
  6. ncbi Mixed effects models with bivariate and univariate association parameters for longitudinal bivariate binary response data
    T R Ten Have
    Department of Biostatistics and Clinical Epidemiology, The University of Pennsylvania College of Medicine, Philadelphia 19104 6021, USA
    Biometrics 55:85-93. 1999
  7. ncbi Empirical Bayes estimation of random effects parameters in mixed effects logistic regression models
    T R Ten Have
    Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia 19104 6021, USA
    Biometrics 55:1022-9. 1999
  8. ncbi Mixed effects logistic regression models for longitudinal ordinal functional response data with multiple-cause drop-out from the longitudinal study of aging
    T R Ten Have
    Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia 19104 6021, USA
    Biometrics 56:279-87. 2000
  9. ncbi Causal mediation analyses with rank preserving models
    Thomas R Ten Have
    Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
    Biometrics 63:926-34. 2007
  10. ncbi Longitudinal and repeated cross-sectional cluster-randomization designs using mixed effects regression for binary outcomes: bias and coverage of frequentist and Bayesian methods
    A Russell Localio
    Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 6021, USA
    Stat Med 25:2720-36. 2006

Research Grants

  1. Mental Health Biostatistics Training Grant
    Thomas Tenhave; Fiscal Year: 2007
  2. Causal Methods for Mediation and Interaction
    Thomas Tenhave; Fiscal Year: 2007

Collaborators

Detail Information

Publications10

  1. ncbi Mixed effects logistic regression models for longitudinal binary response data with informative drop-out
    T R Ten Have
    Center for Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia 19104 6021, USA
    Biometrics 54:367-83. 1998
    ..This comparison between the data analysis and simulation results may provide evidence that the shared parameter model holds for the pain data...
  2. ncbi Deviations from the population-averaged versus cluster-specific relationship for clustered binary data
    Thomas R Ten Have
    Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Blockley Hall, 6th FLR, 423 Guardian Drive, Philadelphia, PA 19104 6021, USA
    Stat Methods Med Res 13:3-16. 2004
    ..Several examples, including a cross-over trial, a multicentre nonrandomized treatment study, and a longitudinal observational study are used to illustrate these modifications...
  3. ncbi Causal logistic models for non-compliance under randomized treatment with univariate binary response
    Thomas R Ten Have
    Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Blockley Hall, 6th FLR, 423 Guardian Dr, Philadelphia, PA 19104 6021, USA
    Stat Med 22:1255-83. 2003
    ..We also provide results from the analyses of two data sets further showing how a comparison of the marginal and conditional estimators can help evaluate the magnitude of confounding due to non-adherence...
  4. ncbi Research to improve the quality of care for depression: alternatives to the simple randomized clinical trial
    Thomas R TenHave
    University of Pennsylvania, Medical School, Philadelphia, USA
    Gen Hosp Psychiatry 25:115-23. 2003
    ..Some of these enhancements, such as the fixed adaptive design, have begun to be implemented in effectiveness trials in mental health services research, but all are worthy of more attention...
  5. ncbi Mixed effects logistic regression models for multiple longitudinal binary functional limitation responses with informative drop-out and confounding by baseline outcomes
    HaveThomasR Ten
    Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia 19104 6021, USA
    Biometrics 58:137-44. 2002
    ..We also note that. under an autoregressive structure, bias results from omitting the baseline outcome component linked to the follow-up outcome component by subject-level random effects...
  6. ncbi Mixed effects models with bivariate and univariate association parameters for longitudinal bivariate binary response data
    T R Ten Have
    Department of Biostatistics and Clinical Epidemiology, The University of Pennsylvania College of Medicine, Philadelphia 19104 6021, USA
    Biometrics 55:85-93. 1999
    ..The proposed model is compared to a naive bivariate model that assumes independence between time points and univariate mixed effects logit models...
  7. ncbi Empirical Bayes estimation of random effects parameters in mixed effects logistic regression models
    T R Ten Have
    Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia 19104 6021, USA
    Biometrics 55:1022-9. 1999
    ..For large cluster sizes and a few clusters, the PQL approach performs better than the KS adjustment. These simulation results agree somewhat with those of the data analyses...
  8. ncbi Mixed effects logistic regression models for longitudinal ordinal functional response data with multiple-cause drop-out from the longitudinal study of aging
    T R Ten Have
    Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia 19104 6021, USA
    Biometrics 56:279-87. 2000
    ..In contrast, the association between current functional limitation and previous trajectory of functional status within an individual is weaker and more sensitive to changes in the random effects and drop-out assumptions...
  9. ncbi Causal mediation analyses with rank preserving models
    Thomas R Ten Have
    Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
    Biometrics 63:926-34. 2007
    ..The trade-off between these assumptions is evaluated in the context of two suicide/depression intervention studies...
  10. ncbi Longitudinal and repeated cross-sectional cluster-randomization designs using mixed effects regression for binary outcomes: bias and coverage of frequentist and Bayesian methods
    A Russell Localio
    Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 6021, USA
    Stat Med 25:2720-36. 2006
    ..The performance of common statistical tools for the analysis of cluster randomization designs depends heavily on the precise design, the number of clusters, and the variability of baseline outcomes and treatment effects across centres...

Research Grants2

  1. Mental Health Biostatistics Training Grant
    Thomas Tenhave; Fiscal Year: 2007
    ....
  2. Causal Methods for Mediation and Interaction
    Thomas Tenhave; Fiscal Year: 2007
    ..The above methods and standard mediation/interaction procedures and their assumptions will be evaluated and compared with simulations and analyses to answer the specific hypotheses from four studies of interest. ..