I'm new to STATA and can think of ways of doing this in R but I'm just having trouble figuring out where to start. the dataset has a large enough number of variables that it makes doing this manually pretty much unrealistic. I'm working with a logistic regression model and needed help figuring out how to write an algorithm that harvests the variable values from data that's been run through the regression model and graph the odds ratio for the variables in a forest plot.
Related Posts with Help designing an algorithm that takes in logistic regression model and generates a forest plot
All Observations are Duplicates - Panel Data r(451) Repeated Time Variables within panelHello, Using Stata 12, I have a panel dataset from 2010 to 2019 with 23 variables and 1484908 obser…
Dependent variable comes in months, how to build model?I am studying the determinants of unemployment spells. My dependent variable is unemployment spell (…
Too many observations for gen id = _nI am using a very large dataset and this technique for generating a unique id for each observation d…
cluster robust hausman test for multiway clusteringDear all, I was looking to run a generalized hausman test for panel models with cluster-robust stan…
How do i compute the geometric increase rate of a variable in a panel dataset?Hello everyone, I'm new to Stata and this forum. If I do something wrong, please tell me. I would li…
Subscribe to:
Post Comments (Atom)
0 Response to Help designing an algorithm that takes in logistic regression model and generates a forest plot
Post a Comment