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Repeated measurements and cross-over designs / The late Damaraju Raghavarao and Lakshmi Padgett.

By: Contributor(s): Material type: TextTextPublication details: New Jersey : John Wiley, c2014.Description: xii, 255 p. : illustrations ; 25 cmISBN:
  • 9781118709252
Subject(s): DDC classification:
  • 000SA.08 23 R142
Contents:
1 Introduction -- 2 One-Sample Repeated Measurement Designs -- 3 k-Sample Repeated Measurements Design -- 4 Growth Curve Models -- 5 Cross-Over Designs without Residual Effects -- 6 Cross-Over Designs with Residual Effects -- 7 Two-Period Cross-Over Designs with Residual Effects -- 8 Other Cross-Over Designs with Residual Effects -- 9 Some Constructions of Cross-Over Designs -- Index.
Summary: An introduction to state-of-the-art experimental design approaches to better understand and interpret repeated measurement data in cross-over designs. Repeated Measurements and Cross-Over Designs: Features the close tie between the design, analysis, and presentation of resultsPresents principles and rules that apply very generally to most areas of research, such as clinical trials, agricultural investigations, industrial procedures, quality control procedures, and epidemiological studiesIncludes many practical examples, such as PK/PD studies in the pharmaceutical industry, k-sample and one s.
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Includes bibliographical references and index.

1 Introduction --
2 One-Sample Repeated Measurement Designs --
3 k-Sample Repeated Measurements Design --
4 Growth Curve Models --
5 Cross-Over Designs without Residual Effects --
6 Cross-Over Designs with Residual Effects --
7 Two-Period Cross-Over Designs with Residual Effects --
8 Other Cross-Over Designs with Residual Effects --
9 Some Constructions of Cross-Over Designs --
Index.

An introduction to state-of-the-art experimental design approaches to better understand and interpret repeated measurement data in cross-over designs. Repeated Measurements and Cross-Over Designs: Features the close tie between the design, analysis, and presentation of resultsPresents principles and rules that apply very generally to most areas of research, such as clinical trials, agricultural investigations, industrial procedures, quality control procedures, and epidemiological studiesIncludes many practical examples, such as PK/PD studies in the pharmaceutical industry, k-sample and one s.

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