<p>(Same as Biostatistics M232.) Lecture, three hours; discussion, one hour. Requisites: Biostatistics 200C, 202B or equivalent. Sources of incomplete data, recognizing familiar methods as solutions to missing-data problems, missing-data mechanisms, weighting and imputation strategies, model-based and design-based inference, likelihood-based and Bayesian methods, statistical computing strategies, multivariate models for diverse data types, nonignorable models, review of available statistical software. Emphasis on incorporating incomplete-data perspective into broader statistical-science framework. S/U or letter grading.</p>

Biomathematics

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David Geffen School of Medicine

The department's primary goal is to build and implement the mathematical models that are crucial for the advancement of modern biomedical sciences.

General Catalog

Statistical Analysis of Incomplete Data

BIOMATH M232

4 units