Report for: Reducing bias in open-label trials where blinded outcome assessment is not feasible: strategies from two randomised trials

Title	Reducing bias in open-label trials where blinded outcome assessment is not feasible: strategies from two randomised trials
Published in	Trials, November 2014
DOI	10.1186/1745-6215-15-456
Pubmed ID	25416527
Authors	Brennan C Kahan, Suzie Cro, Caroline J Doré, Daniel J Bratton, Sunita Rehal, Nick A Maskell, Najib Rahman, Vipul Jairath
Abstract	Blinded outcome assessment is recommended in open-label trials to reduce bias, however it is not always feasible. It is therefore important to find other means of reducing bias in these scenarios.

X Demographics

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Type	Count	As %
Members of the public	17	81%
Scientists	4	19%

Mendeley readers

The data shown below were compiled from readership statistics for 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Country	Count	As %
Australia	1	<1%
Unknown	194	99%

Readers by professional status	Count	As %
Student > Master	39	20%
Student > Bachelor	31	16%
Student > Ph. D. Student	25	13%
Student > Postgraduate	14	7%
Other	9	5%
Other	28	14%
Unknown	49	25%

Readers by discipline	Count	As %
Medicine and Dentistry	43	22%
Nursing and Health Professions	34	17%
Biochemistry, Genetics and Molecular Biology	11	6%
Agricultural and Biological Sciences	10	5%
Pharmacology, Toxicology and Pharmaceutical Science	9	5%
Other	33	17%
Unknown	55	28%

Reducing bias in open-label trials where blinded outcome assessment is not feasible: strategies from two randomised trials