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Patient-reported outcomes : measurement, implementation and interpretation / Joseph C. Cappelleri...[et al.].

By: Contributor(s): Material type: TextTextSeries: Chapman & Hall/CRC biostatistics seriesPublication details: Boca Raton : CRC Press, c2014.Description: xx, 331 p. : illustrations ; 25 cmISBN:
  • 9781439873670 (hardback)
Subject(s): DDC classification:
  • 23 C247 000SB:610
Contents:
1. Introduction -- 2. Development of a patient-reported outcome -- 3. Validity -- 4. Reliability -- 5. Exploratory and confirmatory factor analyses -- 6. Item response theory -- 7. Cross-sectional analysis -- 8. Longitudinal analysis -- 9. Mediation models -- 10. Missing data -- 11. Enriching interpretation-- References-- Index.
Summary: "Covering conceptual and statistical methods, this book discusses the issues related to measuring and interpreting patient reported outcomes (PROs). It begins with a review and background information and then covers measurement scales, validity and reliability, item response theory, and missing data. The book also describes various statistical analysis techniques, including exploratory, cross-sectional, and longitudinal data analysis, and highlights the practical interpretation and application of the techniques in clinical and pharmaceutical settings. SAS code for all methods is available in an appendix and online"--
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Includes bibliographical references and index.

1. Introduction --
2. Development of a patient-reported outcome --
3. Validity --
4. Reliability --
5. Exploratory and confirmatory factor analyses --
6. Item response theory --
7. Cross-sectional analysis --
8. Longitudinal analysis --
9. Mediation models --
10. Missing data --
11. Enriching interpretation--
References--
Index.

"Covering conceptual and statistical methods, this book discusses the issues related to measuring and interpreting patient reported outcomes (PROs). It begins with a review and background information and then covers measurement scales, validity and reliability, item response theory, and missing data. The book also describes various statistical analysis techniques, including exploratory, cross-sectional, and longitudinal data analysis, and highlights the practical interpretation and application of the techniques in clinical and pharmaceutical settings. SAS code for all methods is available in an appendix and online"--

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