Doctors' Understanding of Survival Statistics

2014-08-27 03:19:11 | BioPortfolio


The probably most commonly used measure for expressing the pay-offs of early detection and treatment are survival rates. Yet, over time and groups this metric comes with several biases and thus, is not reliable for judging such benefits. Epidemiologists recommend using reduction of disease-specific mortality rates instead, which is unbiased. The purpose of the study is to investigate how primary care physicians understand and use different survival measures for determining the benefit of cancer screening tests.

Study Design

Allocation: Randomized, Intervention Model: Parallel Assignment, Masking: Single Blind (Subject), Primary Purpose: Health Services Research




Different survival measures


Max Planck Institute for Human Development




Max Planck Institute for Human Development

Results (where available)

View Results


Published on BioPortfolio: 2014-08-27T03:19:11-0400

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