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Questions related from Mark Christopher Perry
I understand how Gibbs sampling works to allow estimations of joint probability distributions in a simple sense. For example, using a simple two dimensional example (A and B are two different...
25 April 2023 6,204 3 View
Given that propensity scores are often derived via logistic regression, why bother? Why not just do a good old fashioned logistic regression analysis in the first place to adjust for confounding?...
06 March 2018 5,329 7 View
I am doing a Generalised Linear Model analysis (GEE) and need some advice. I am comparing two well-randomised groups for an outcome measured at 5 follow up points, and the only real difference...
28 November 2015 5,728 4 View
Studies comparing interventions can sometimes be studied using a non-randomised design. Though imperfect, the inevitable group differences in prognostic characteristics from a non-randomised...
18 January 2014 3,629 9 View
The distribution of values in the samples should provide a good estimate of the population distribution. If this is skewed we are often told to avoid using parametric statistics. However, doesn't...
08 May 2013 3,539 13 View
Inferential statistics are essential for estimating likely population effects from sample data. But are they useful for comparing groups for baseline comparability?
26 April 2013 3,514 5 View