Rate My Professor Michael Daniels

Daniels specializes in biostatistics, with research interests in Bayesian methodology, methods for incomplete longitudinal data, and causal inference. He co-authored two books: Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis (2008, Chapman & Hall/CRC Press, with J.W. Hogan) and Bayesian Nonparametric Approaches for Causal Inference and Missing Data (2023, Chapman & Hall/CRC Press, with A.R. Linero and J. Roy). Key publications include Meta-Analysis for the Evaluation of Potential Surrogate Markers (1997, Statistics in Medicine, with M. Hughes), A Flexible Bayesian Approach to Monotone Missing Data in Longitudinal Studies with Informative Missingness (2015, Journal of the American Statistical Association, with A.R. Linero), and Bayesian Methods for Multiple Mediators: Principal Stratification and Causal Mediation Analysis (2019, Annals of Applied Statistics, with C. Kim et al.). He has received the Fellow of the American Statistical Association (2007), Lagakos Distinguished Alumni Award from Harvard (2014), Honorable Mention for the Mitchell Prize from ISBA (2020), and L. Adrienne Cupples Award for Excellence in Teaching, Research, and Service in Biostatistics (2022). Daniels has advised over 20 PhD students to completion, many in prominent academic and industry positions, and held editorial roles such as Co-Editor of Biometrics (2015-2018), Associate Editor for multiple journals, and leadership in statistical societies including President of the Eastern North American Region of the International Biometrics Society (2020).