predicts

**Stepwise regression**

The prediction model was fitted using logistic regression with stepwise regression and backward elimination. Why? Did the exclusion of variables from the model improve the predictive accuracy? A LASSO regression, LAR regression or Elastic Net may perhaps lead to a model with better predictive accuracy.

**Interpretation of regression coefficients**

The presented regression coefficients of the prediction model can be misinterpreted as estimates of relative risk. Since the model has not been developed with respect to cause-effect relations the parameter estimates are likely to reflect confounding bias and perhaps adjustment bias, see e.g. Westreich D, Greenland S. The table 2 fallacy: presenting and interpreting confounder and modifier coefficients. Am J Epidemiol 2013;177:292-298. I recommend removing these tables from the manuscript.

predicts.txt · Last modified: 2020/02/16 17:55 (external edit)

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