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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
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
Treatment comparisons are essential
Placebo effects
Treatment comparisons must be fair
Biases
Design bias
Allocation bias
N-of-1 crossover
Cluster allocation
Crossover tests
Factorial design
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
