Miguel Hernan

Miguel Hernan

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Miguel Hernan is Kolokotrones Professor of Biostatistics and Epidemiology in the Department of Epidemiology and the Department of Biostatistics at Harvard T.H. Chan School of Public Health. His research and teaching are focused on methodology for causal inference, including comparative effectiveness research to guide policy and clinical decisions.

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Books Authored by Miguel Hernan

Causal Inference Book

Post date: 07 Mar 2017
A cohesive presentation of concepts of, and methods for, causal inference. Covers causal inference without models, causal inference with models, and causal inference from complex longitudinal data.
Author(s): Miguel Hernan James Robins
Publication date: 05 Mar 2017
Document Type: Textbook
Tags: Statistics
 
Causal Inference Book

Causal Inference Book

Post date: 07 Mar 2017
A cohesive presentation of concepts of, and methods for, causal inference. Covers causal inference without models, causal inference with models, and causal inference from complex longitudinal data.
Author(s): Miguel Hernan James Robins
Publication date: 05 Mar 2017
Document Type: Textbook
Tags: Statistics



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