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:
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...
Thank you for the answer.
So if i understand it now well:
- B coefficietnts and OR has to be reported from the original Log. regression model.
- S.E., P values and 95 % CI should be reported according to the BS models.
Is it correct?
I will rerun the analyses with 10 000 samples and compare...
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...
I have done the correlations for checking the multicollinearity.
I try to follow Kleinbaum and Klein, Logistic regression, statistics for biology and health. 2010. Chapter 6.
They recommend following steps before building the regression models :
Identify possible variables from the...
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...
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...