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Erschienen in:
Measurement Error Analysis from Independent to Longitudinal Setup Kapitel lesen Erstes Kapitel lesen

2013 | OriginalPaper | Buchkapitel

Response-Dependent Sampling with Clustered and Longitudinal Data

verfasst von : Michael A. McIsaac, Richard J. Cook

Erschienen in: ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers

Verlag: Springer New York

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Abstract

Prospective cohort studies typically involve repeated assessment of individuals to determine whether they have a particular health condition. The usual goal in such studies is to relate the presence of the condition to disease markers or exposure variables. Disease markers are often too difficult or costly to measure for all individuals in a sample. In such settings, two- and multi-phase sampling designs are routinely adopted to enable researchers to select individuals on whom these expensive markers are to be assessed. In this article we review the rationale and format of two-phase sampling designs in retrospective and cross-sectional studies. We then develop frameworks for multi-phase designs in the context of studies with clustered or longitudinal responses. Model-based and semi-parametric methods are discussed for estimation and inference.

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Vorheriges Kapitel Innovative Applications of Shared Random Parameter Models for Analyzing Longitudinal Data Subject to Dropout
Nächstes Kapitel Robust Inference Progress from Independent to Longitudinal Setup
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Metadaten
Titel
Response-Dependent Sampling with Clustered and Longitudinal Data
verfasst von
Michael A. McIsaac
Richard J. Cook
Copyright-Jahr
2013
Verlag
Springer New York
Buch
ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers

Print ISBN: 978-1-4614-6870-7

Electronic ISBN: 978-1-4614-6871-4

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-1-4614-6871-4_8