Trivellore E. Raghunathan

Affiliations: 
University of Michigan, Ann Arbor, Ann Arbor, MI 
Area:
Biostatistics Biology
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"Trivellore Raghunathan"
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Publications

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Ghosh K, Bondarenko I, Messer KL, et al. (2020) Attributing medical spending to conditions: A comparison of methods. Plos One. 15: e0237082
Liu B, Parsons V, Feuer EJ, et al. (2019) Small Area Estimation of Cancer Risk Factors and Screening Behaviors in US Counties by Combining Two Large National Health Surveys. Preventing Chronic Disease. 16: E119
Siddique J, Daniels MJ, Carroll RJ, et al. (2019) Measurement error correction and sensitivity analysis in longitudinal dietary intervention studies using an external validation study. Biometrics
Sakshaug JW, Cernat A, Raghunathan TE. (2019) Do Sequential Mixed-Mode Surveys Decrease Nonresponse Bias, Measurement Error Bias, and Total Bias? An Experimental Study Journal of Survey Statistics and Methodology. 7: 545-571
Wu M, Diez-Roux A, Raghunathan TE, et al. (2017) FPCA-based method to select optimal sampling schedules that capture between-subject variability in longitudinal studies. Biometrics
Lohr SL, Raghunathan TE. (2017) Combining Survey Data with Other Data Sources Statistical Science. 32: 293-312
Yucel RM, Zhao E, Schenker N, et al. (2017) Sequential Hierarchical Regression Imputation Journal of Survey Statistics and Methodology. 6: 1-22
Zhou H, Elliott MR, Raghunathan TE. (2016) Multiple Imputation in Two-Stage Cluster Samples Using The Weighted Finite Population Bayesian Bootstrap. Journal of Survey Statistics and Methodology. 4: 139-170
Zhou H, Elliott MR, Raghunathan TE. (2016) Synthetic Multiple-Imputation Procedure for Multistage Complex Samples. Journal of Official Statistics. 32: 231-256
Bondarenko I, Raghunathan T. (2016) Graphical and numerical diagnostic tools to assess suitability of multiple imputations and imputation models. Statistics in Medicine
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