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    About binary logistic regression models -confusing results of confusion matrices.

    Dear all, I fit a binary logistic regression model obtain information on sens, spec, ppv, npv, CA. After this, i perform the 10-fold cross validation of the same model, and somehow my sens, spec, ppv, npv, CA are exactly the same. #My codes look like this: set.seed(2021) #Full model glm_model...
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    The item response theory - which method to choose

    Hi everybody, I have a question about choosing the correct method from the item response theory framework. In my dataset i have 10 variables as follows: var 1 has a score ranege 0-6 p; var 2, 3, and 4 have a score range 0.5p; var 5, 6, and 7 have the score rande 0-3 p; var 8,9, and 10 have the...
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    Binary logistic regression analysis - bootstrapping and reporting of the results.

    Dear all, I need our advice regarding bootstrapping of binary logistic regression. I have following questions: - the sample size is 305 people. How many random samples are most appropriate? Some say 1000 and some 2000, but what is thelogic behind choosing the sample size? - How can i get/is it...
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    Testing variables for confounding

    Dear members, I would appreciate your advise regarding the testing of variables for possible confounding. I have 12 possible independent variables on ordinal and nominal levels. My dependent variable is functional dependence (mRS≥3). Before i perform regression analyses, i would like to test if...
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    Multiple imputation analyses

    Dear all, I have a methodological question about multiple imputation analyses. I have 5 variables Q1-Q5 on ordinal level and i plan to crate a one variable on oridnal level (modified Rankin Scale, the method is aproved in some studies). My question is: should i perform Multiple imputation...