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Volume 59, Issue 7 , Pages 685-696 , July 2006

A new preference-based analysis for randomized trials can estimate treatment acceptability and effect in compliant patients

S.D. Walter
- Department of Clinical Epidemiology and Biostatistics, McMaster University, HSC-2C16, 1200 Main St West, Hamilton, Ontario, L8N 3Z5 Canada
- Corresponding author. Tel.: 905-525-9140, ext. 23387.
Gordon Guyatt
- Department of Clinical Epidemiology and Biostatistics, McMaster University, HSC-2C16, 1200 Main St West, Hamilton, Ontario, L8N 3Z5 Canada
- Department of Medicine, McMaster University, 1200 Main St West, Hamilton, Ontario, Canada
Victor M. Montori
- Department of Medicine, Mayo Clinic College of Medicine, Mayo E17-96, 200 First St SW, Rochester, MN, 55905-0001, USA
R. Cook
- Department of Statistics and Actuarial Science, University of Waterloo, 200 University Ave, Waterloo, Ontario, N2L 3G1 Canada
K. Prasad
- Department of Neurology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, PIN-110029, India

,Accepted 15 November 2005.

Possible analyses of an randomized control trial: intention to treat (ITT).

Possible analyses of an randomized control trial: intention to treat (ITT).
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Possible analyses of an randomized control trial: per protocol.

Possible analyses of an randomized control trial: per protocol.
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Possible analyses of an randomized control trial: as treated.

Possible analyses of an randomized control trial: as treated.
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Possible analyses of an randomized control trial: by patient preference groups.

Possible analyses of an randomized control trial: by patient preference groups.
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