Dear Statalist,
I am working on a clinical trial data set. I have 169 observations, a golden standard binary variable with missing values (25 missing values) and a continuous variables with no missing data.
I have applied multiple imputation with mi chained equation.
I found the same cutoff (threshold = 47) for my m=20 imputations. My questions is, do you recommend any particular method for calculation Sensitivity and Specificity for this threshold? Using Rubins rules ?
Then I used the following program to calculate AUC for my ROC curve.
* https://www.stata.com/support/faqs/s...-imputed-data/
Is there any program that allows for calculating Sensibily/specificity ?
Thank you !
Kristina
Related Posts with multitple imputation : ROC curve sensibility and specificity
Searching distinct identifier in a folderHi everyone, I have the following issue. In one folder, I have stored different xlsx files. Each fi…
Disaggregation with inequal7 functionHello, I am working with income dataset for household level and calculating GINI index with inequal…
Modifying significant digits of the graph's y-axis increments on Stata graph editorHi, I'm trying to edit a graph's y-axis increments on Stata graph editor. For example, the y-axis i…
Predicting firm growth (panel data)Hi, Statalist. 1. Our task/problem I’m trying to predict if a startup will grow continuously for t…
An immediate histogram command?(Cross-posted from the v17 wishlist, https://www.statalist.org/forums/for...72#post1601072, at the s…
Subscribe to:
Post Comments (Atom)
0 Response to multitple imputation : ROC curve sensibility and specificity
Post a Comment