Roee Gutman, Ph.D.
Affiliations: | 2011 | Harvard University, Cambridge, MA, United States |
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StatisticsGoogle:
"Roee Gutman"Parents
Sign in to add mentor| Donald B. Rubin | grad student | 2011 | Harvard | |
| (Topics and Applications in Missing Data and Causality.) | ||||
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Publications
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| Scotina AD, Zullo AR, Smith RJ, et al. (2020) Approximate Bayesian Bootstrap procedures to estimate multilevel treatment effects in observational studies with application to type 2 diabetes treatment regimens. Statistical Methods in Medical Research. 962280220928109 |
| Roydhouse J, Gutman R, Keating N, et al. (2020) Propensity scores for proxy reports of care experience and quality: are they useful? Health Services and Outcomes Research Methodology. 20: 40-59 |
| Scotina AD, Beaudoin FL, Gutman R. (2019) Matching estimators for causal effects of multiple treatments. Statistical Methods in Medical Research. 962280219850858 |
| Scotina AD, Gutman R. (2019) Matching algorithms for causal inference with multiple treatments. Statistics in Medicine |
| Gu C, Gutman R. (2019) Development of a common patient assessment scale across the continuum of care: A nested multiple imputation approach The Annals of Applied Statistics. 13: 466-491 |
| Silva GC, Trivedi AN, Gutman R. (2019) Developing and evaluating methods to impute race/ethnicity in an incomplete dataset Health Services and Outcomes Research Methodology. 19: 175-195 |
| Lopez MJ, Gutman R. (2017) Estimation of Causal Effects with Multiple Treatments: A Review and New Ideas Statistical Science. 32: 432-454 |
| Gu C, Gutman R. (2016) Combining item response theory with multiple imputation to equate health assessment questionnaires. Biometrics |
| Gutman R, Sammartino CJ, Green TC, et al. (2015) Error adjustments for file linking methods using encrypted unique client identifier (eUCI) with application to recently released prisoners who are HIV. Statistics in Medicine |
| Gutman R, Rubin DB. (2015) Estimation of causal effects of binary treatments in unconfounded studies. Statistics in Medicine |