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In frequentist hypothesis testing, the $p$-value is the probability of a result as extreme (or more) than the observed result, under the assumption that the null hypothesis is true.

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What is the basis of setting critical p-value value in stepwise regression?

See p195 of "Clinical Prediction Models" by EW Steyerberg. To select a candidate predictor based on AIC, the chi-squared value has to exceed twice its df. The P-value for a 1 df chi-squared that jus …
Paul Silcocks's user avatar