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0answers
12 views

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 ...
5
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1answer
109 views

Does adjustement completely remove the effect of the confounding variables?

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 ...
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0answers
77 views

Statistical Approach to restricting predictions between 0 and 1

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 ...
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1answer
125 views

How to make adjustment for correlation coefficient?

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 ...
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4answers
242 views

Plot regression adjusted for covariate

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 ...
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2answers
156 views

Case-mix adjustment versus risk adjustment, what are their differences in practice and objective?

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 ...