Relative efficiency of matching versus adjustment to handle confounding effects in highly disproportionate populations
I am reviewing a paper where the authors compare cancer outcomes (binary) between two groups, one having a small sample size of 200 and the other having over 55,000. The authors then claim that, due ...
This might seem a silly question but I am really confused about it. In theory adjusting for a confounder variable should remove its effect. Is this always true? and does this mean that the effect of ...
I am working with tobacco prevalence data where I am smoking rates at the country level. I and am in the process of adjusting estimates across different frequencies of use(ie, daily versus occasional ...
Suppose that there are two two-dimensional maps. For simplification, let's say one map is the temperatures in the 48 continental U. S. states, and the other map is the corresponding humidities. The ...
I would like to plot values from a linear regression adjusted for a covariate. Please consider the following dummy data in which y is predicted by x and the covariate a. There is an interaction ...
I have encountered in swathes of medical literature the use of the terms "case-mix" and "risk" adjustment without any citations or explanations of their exact usage and motivation from a modeling ...