Data Collection

Diana B. Petitti

in Meta-Analysis, Decision Analysis, and Cost-Effectiveness Analysis

Second edition

Published in print November 1999 | ISBN: 9780195133646
Published online September 2009 | e-ISBN: 9780199863761 | DOI:

Series: Monographs in Epidemiology and Biostatistics

Data Collection

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This chapter explains the kinds of data that need to be collected in studies that use meta-analysis, decision analysis, and cost-effectiveness analysis. All synthesis methods rely on abstraction of information from written, usually published, reports. The chapter emphasizes the need for high standards for data collection from published reports. It defines and explains reliability. A number of concrete suggestions on how to enhance the reliability of collection of data from written reports are given. The chapter defines validity and explains how the concept of validity applies to abstraction of data from written reports. Bias is defined, and the ways that bias can be introduced in the process of collecting data from written reports are described along with ways to minimize bias. The chapter describes empiric data that show that abstractors do not need to be blinded to the names of authors and the journal of publication when collecting data from published reports.

Keywords: validity; reliability; bias; blinding; data abstraction; standards

Chapter.  3061 words. 

Subjects: Public Health and Epidemiology

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