Lee, Paul H. (2018) Adjusted analysis. Journal of Molecular and Cellular Cardiology, 120, 28-30. (doi:10.1016/j.yjmcc.2018.05.011).
Abstract
Typical questions:
1. I am testing the effect of drug on height, however, there is great variability in height because of confounders, e.g., age, genetics, diet, etc. A simple power analysis suggests that I will need a very large sample size. How can I reduce the requisite sample size to something I can handle?
2. In the statistical analysis, what variables should I control for, e.g., age, weight, etc.?
Experimental design is a design of study aiming at evaluating the effect of a treatment on some particular outcomes by randomly assigning the subjects into either receiving the treatment or not. Experimental design has been widely used to identify causal relationship as confounding effects are removed by the randomization procedure. Therefore, experimental design is the design that provides the highest level of evidence
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