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2 votes

Three continous variables + 2 factors vs. five continous variables to control for confounders?

Frank Harrell's suggestion for ordinal regression here makes a lot of sense. (+1) In general it's not a good idea to bin continuous predictor variables; see this page and its links. Multiple ...
EdM's user avatar
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3 votes

Three continous variables + 2 factors vs. five continous variables to control for confounders?

The effective sample size at your disposal for estimating model parameters will depend on the actual distribution of the 0-30 dependent variable, especially where there are a lot of ties creating a ...
Frank Harrell's user avatar

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