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Assessing the Integrity of Clinical Data: When is Statistical Evidence Too Good to be True?
Margaret MacDougall
Deanery of Molecular, Genetic and Population Health Sciences
Centre for Population Health Sciences
Usher Institute
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Computer Science
Research Collaboration
100%
Informed Choice
100%
Journal Editor
100%
Setting Research
100%
Data Exploration
100%
Case Study
100%
Clinical Data
100%
Fraud Detection
100%
Mathematics
Initial Step
100%
Wide Range
100%
Statistical Analysis
100%
Statistical Evidence
100%
Statistical Significance
100%
Data Exploration
100%
Fraud Detection
100%
Medicine and Dentistry
Fraud
100%
Clinical Research
50%
Base
50%
Medicine
50%
Patient Safety
50%
Nursing and Health Professions
Patient Safety
100%
Base
100%
Pharmacology, Toxicology and Pharmaceutical Science
Clinical Research
100%
Base
100%