I´ve found different ways of dealing with the problem of selecting variables for multivariate binomial logistic regression. Some authors include only variables with a significant bivariate association with the outcome but I don't have an explanation for this behavior. Could someone help me with this issue?
Возможно, в ответе на Ваш вопрос Вам будет полезна эта дискуссия: https://www.researchgate.net/post/How_do_I_explain_this_phenomenon_when_two_significant_variables_in_univariate_model_became_nonsignificant_once_put_into_one_multivariate_model
Currently the best method is most likely adaptive lasso. I've attached some material and programs that you may find useful assuming your goal is prediction. Best wishes David Booth
Thanks for your prompt answer. I´ll take a look at what you are recommending.
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