Chapter 8. Two-Treatment Crossover Designs

  1. Martijn P. F. Berger1 and
  2. Weng Kee Wong2

Published Online: 27 MAY 2009

DOI: 10.1002/9780470746912.ch8

An Introduction to Optimal Designs for Social and Biomedical Research

An Introduction to Optimal Designs for Social and Biomedical Research

How to Cite

Berger, M. P. F. and Wong, W. K. (2009) Two-Treatment Crossover Designs, in An Introduction to Optimal Designs for Social and Biomedical Research, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470746912.ch8

Author Information

  1. 1

    Department of Methodology and Statistics, Maastricht University, The Netherlands

  2. 2

    Department of Biostatistics, School of Public Health, University of California, Los Angeles, USA

Publication History

  1. Published Online: 27 MAY 2009
  2. Published Print: 29 MAY 2009

ISBN Information

Print ISBN: 9780470694503

Online ISBN: 9780470746912

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Keywords:

  • two-treatment crossover designs;
  • alternative design to the CO design is the parallel-group (PG) design;
  • CO designs producing carry-over effects as nuisance effects;
  • first-order carry-over effects, occurring between two adjacent time periods;
  • carry-over effect, revealing a period × treatment interaction in the data analysis;
  • length of a washout period - multiple of a drug's half-life;
  • carry-over effects, raising questions in data analysis

Summary

This chapter contains sections titled:

  • Design problem for crossover studies

  • The design

  • Confounding treatment effects with nuisance effects

  • The linear model for crossover designs

  • Estimation of parameters and efficiency

  • Cost and efficiency of the crossover design

  • Optimal crossover designs for two treatments

  • Matrix formulation of the mixed model for crossover designs

  • Summary