Fundamentals of Clinical Trials

889 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

An Overview of Research and Evaluation Designs for Dissemination and Implementation (2017, background): “consensus has grown across diverse fields about when certain designs should be used and what sample size requirements and design protocols are necessary to maximize internal validity (42, 87).”
Latent class instrumental variables: A clinical and biostatistical perspective (2015, result): “Extrapolating from the treatment effect among compliers to the treatment effect in the population is qualitatively similar to extrapolating from the treatment effect in a randomized trial to the treatment effect in the population – a well-accepted challenge [67].”
Set-valued dynamic treatment regimes for competing outcomes (2012, methodology): “…preference information from the decision maker; however, in its most general form, our approach makes use of an elicited “clinically significant” difference on each outcome scale to help decide if one treatment is clearly inferior to another (see e.g., Friedman, Furberg, and DeMets, 2010).”