Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Garrett M. Fitzmaurice, S.D.

Co-Author

This page shows the publications co-authored by Garrett Fitzmaurice and Stuart Lipsitz.
Connection Strength

4.685
  1. Response to Marschner's letter to the editor. Biostatistics. 2015 Jan; 16(1):3-4.
    View in: PubMed
    Score: 0.599
  2. Using Multiple Imputation with GEE with Non-monotone Missing Longitudinal Binary Outcomes. Psychometrika. 2020 12; 85(4):890-904.
    View in: PubMed
    Score: 0.231
  3. Using Cox regression to develop linear rank tests with zero-inflated clustered data. J R Stat Soc Ser C Appl Stat. 2020 Apr; 69(2):393-411.
    View in: PubMed
    Score: 0.221
  4. Within-treatment frequency of use versus abstinence as a predictor of longitudinal post-treatment follow-up assessments of drug use. Drug Alcohol Depend. 2020 03 01; 208:107857.
    View in: PubMed
    Score: 0.220
  5. Likelihood methods for incomplete longitudinal binary responses with incomplete categorical covariates. Biometrics. 1999 Mar; 55(1):214-23.
    View in: PubMed
    Score: 0.207
  6. Sensitivity analysis for non-monotone missing binary data in longitudinal studies: Application to the NIDA collaborative cocaine treatment study. Stat Methods Med Res. 2019 Oct-Nov; 28(10-11):3057-3073.
    View in: PubMed
    Score: 0.200
  7. Statistical considerations in the choice of endpoint for drug use disorder trials. Drug Alcohol Depend. 2017 12 01; 181:219-222.
    View in: PubMed
    Score: 0.188
  8. One-Step Generalized Estimating Equations with Large Cluster Sizes. J Comput Graph Stat. 2017; 26(3):734-737.
    View in: PubMed
    Score: 0.185
  9. Efficient Computation of Reduced Regression Models. Am Stat. 2017; 71(2):171-176.
    View in: PubMed
    Score: 0.180
  10. Estimating equations for measures of association between repeated binary responses. Biometrics. 1996 Sep; 52(3):903-12.
    View in: PubMed
    Score: 0.174
  11. The score test for independence in R x C contingency tables with missing data. Biometrics. 1996 Jun; 52(2):751-62.
    View in: PubMed
    Score: 0.171
  12. Testing for independence in J×K contingency tables with complex sample survey data. Biometrics. 2015 Sep; 71(3):832-40.
    View in: PubMed
    Score: 0.157
  13. Using the jackknife for estimation in log link Bernoulli regression models. Stat Med. 2015 Feb 10; 34(3):444-53.
    View in: PubMed
    Score: 0.154
  14. Analysing incomplete longitudinal binary responses: a likelihood-based approach. Biometrics. 1994 Sep; 50(3):601-12.
    View in: PubMed
    Score: 0.152
  15. An extension of Yule's Q to multivariate binary data. Biometrics. 1994 Sep; 50(3):847-52.
    View in: PubMed
    Score: 0.152
  16. Sample size for repeated measures studies with binary responses. Stat Med. 1994 Jun 30; 13(12):1233-9.
    View in: PubMed
    Score: 0.150
  17. Simple methods of determining confidence intervals for functions of estimates in published results. PLoS One. 2014; 9(5):e98498.
    View in: PubMed
    Score: 0.149
  18. Almost efficient estimation of relative risk regression. Biostatistics. 2014 Oct; 15(4):745-56.
    View in: PubMed
    Score: 0.147
  19. Bias correction for the proportional odds logistic regression model with application to a study of surgical complications. J R Stat Soc Ser C Appl Stat. 2013 03; 62(2):233-250.
    View in: PubMed
    Score: 0.137
  20. Joint generalized estimating equations for multivariate longitudinal binary outcomes with missing data: An application to AIDS data. J R Stat Soc Ser A Stat Soc. 2009 01; 172(1):3-20.
    View in: PubMed
    Score: 0.102
  21. A note on permutation tests for variance components in multilevel generalized linear mixed models. Biometrics. 2007 Sep; 63(3):942-6.
    View in: PubMed
    Score: 0.091
  22. Estimation in regression models for longitudinal binary data with outcome-dependent follow-up. Biostatistics. 2006 Jul; 7(3):469-85.
    View in: PubMed
    Score: 0.083
  23. Parameter estimation in longitudinal studies with outcome-dependent follow-up. Biometrics. 2002 Sep; 58(3):621-30.
    View in: PubMed
    Score: 0.066
  24. Bias in estimating association parameters for longitudinal binary responses with drop-outs. Biometrics. 2001 Mar; 57(1):15-21.
    View in: PubMed
    Score: 0.059
  25. GEE with Gaussian estimation of the correlations when data are incomplete. Biometrics. 2000 Jun; 56(2):528-36.
    View in: PubMed
    Score: 0.056
  26. Goodness-of-fit for GEE: an example with mental health service utilization. Stat Med. 1999 Jan 30; 18(2):213-22.
    View in: PubMed
    Score: 0.051
  27. Exact Bayesian p-values for a test of independence in a 2?×?2 contingency table with missing data. Stat Methods Med Res. 2018 11; 27(11):3411-3419.
    View in: PubMed
    Score: 0.046
  28. Approximate median regression for complex survey data with skewed response. Biometrics. 2016 12; 72(4):1336-1347.
    View in: PubMed
    Score: 0.042
  29. Bias-corrected estimates for logistic regression models for complex surveys with application to the United States' Nationwide Inpatient Sample. Stat Methods Med Res. 2017 Oct; 26(5):2257-2269.
    View in: PubMed
    Score: 0.040
  30. Estimation methods for the join distribution of repeated binary observations. Biometrics. 1995 Jun; 51(2):562-70.
    View in: PubMed
    Score: 0.040
  31. Performance of generalized estimating equations in practical situations. Biometrics. 1994 Mar; 50(1):270-8.
    View in: PubMed
    Score: 0.037
  32. An extension of the Wilcoxon Rank-Sum test for complex sample survey data. J R Stat Soc Ser C Appl Stat. 2012 Aug; 61(4):653-664.
    View in: PubMed
    Score: 0.033
  33. Alternative methods for testing treatment effects on the basis of multiple outcomes: simulation and case study. Stat Med. 2011 Jul 20; 30(16):1917-32.
    View in: PubMed
    Score: 0.030
  34. A generalized linear mixed model for longitudinal binary data with a marginal logit link function. Ann Appl Stat. 2011; 5(1):449-467.
    View in: PubMed
    Score: 0.029
  35. A bivariate pseudolikelihood for incomplete longitudinal binary data with nonignorable nonmonotone missingness. Biometrics. 2011 Sep; 67(3):1119-26.
    View in: PubMed
    Score: 0.029
  36. A weighted combination of pseudo-likelihood estimators for longitudinal binary data subject to non-ignorable non-monotone missingness. Stat Med. 2010 Jun 30; 29(14):1511-21.
    View in: PubMed
    Score: 0.028
  37. Logistic regression with incomplete covariate data in complex survey sampling: application of reweighted estimating equations. Epidemiology. 2009 May; 20(3):382-90.
    View in: PubMed
    Score: 0.026
  38. Pseudo-likelihood methods for longitudinal binary data with non-ignorable missing responses and covariates. Stat Med. 2006 Aug 30; 25(16):2784-96.
    View in: PubMed
    Score: 0.022
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.