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James Lind Library
Illustrating the development of fair tests of treatments in health care
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Zucker DR, Schmid CH, McIntosh MW, D’Agostino RB, Selker HP, Lau J (1997)
Combining single patient (N-of-1) trials to estimate population treatment effects and to evaluate individual patient responses to treatment. Journal of Clinical Epidemiology 50:410-410.
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Key passage(s)
RELEVANT TOPICS
N-of-1 crossover
Allocation bias
Observer bias
Using meta-analysis
Key articles
Mirza RD, Punja S, Vohra S, Guyatt G (2017).
The history and development of N of 1 trials.
All topics
Fair tests of treatments
The need to address treatment uncertainties
Principles of Testing
Treatment comparisons are essential
Placebo effects
Dramatic effects
Treatment comparisons must be fair
Biases
Design bias
Allocation bias
N-of-1 crossover
Cluster allocation
Factorial design
Crossover tests
Co-intervention bias
Observer bias
Double dummy
Analysis bias
Biases in judging unanticipated possible effects
Reporting bias
Biases in systematic reviews
Researcher/sponsor bias and fraud
The play of chance
Recording and interpreting numbers
Quantifying uncertainty
Using meta-analysis
Bringing it all together for the benefit of patients and the public
Improving reports of research
Preparing and maintaining systematic reviews
Using the results of research
