Chapter

Measurement and Analysis

Lorene M. Nelson, Caroline M. Tanner, Stephen K. Van Den Eeden and Valerie M. McGuire

in Neuroepidemiology

Published in print January 2004 | ISBN: 9780195133790
Published online September 2009 | e-ISBN: 9780199863730 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780195133790.003.03
Measurement and Analysis

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This chapter focuses on measurement of exposures, risk factors, prognostic factors, in addition to statistical analysis methods for assessing the association of those factors with disease outcomes. Separate sections of the chapter are devoted to disease severity measures, general health and quality of life measures, and functional status measures, as well as methods of data collection (medical record abstraction, questionnaires, biological measures). The middle section of the chapter addresses issues regarding measurement error, including types of measurement error (random error, systematic error), misclassification (differential, nondifferential), and the effects of these errors on study validity. Methods for assessing and improving data reliability and validity are discussed. The last section of the chapter provides a concise but informative overview of statistical techniques for analyzing epidemiologic data.

Keywords: methods; questionnaires; quality of life measures; functional status measures; outcome measures; risk factors; prognostic factors; statistical analysis; statistical power; sample size estimation

Chapter.  15396 words. 

Subjects: Public Health and Epidemiology

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