Inverse probability weighted methods

Authored by: Andrea Rotnitzky

Longitudinal Data Analysis

Print publication date:  August  2008
Online publication date:  August  2008

Print ISBN: 9781584886587
eBook ISBN: 9781420011579
Adobe ISBN:

10.1201/9781420011579.ch20

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Abstract

In most epidemiological and clinical longitudinal studies the intended (full) data — the data that the study investigators wish to collect — are incompletely observed. In modern studies, the intended data are typically high-dimensional, usually comprised of many baseline and time-varying variables. Scientific interest, however, often focuses on a low-dimensional parameter of the distribution of the full data.

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