I have a binary dependent variable with the following frequency distribution: Yes (1128) and No (24037). These frequencies correspond to a relative frequency distrbiution of Yes (5%) and No (95%).
Which methodologies would be appropariate to fit a model with such dependent variable? Is Complementary log-log regression (estimated by cloglog command) appropriate for this purpose?
Related Posts with Dependent binary variable with relative frequiencies of 5% and 95%
Creating a time series that displays the minimum price for multiple offers of the same item that run for discrete time periodsHello I am currently working on a project which observes an identical product that being offered by…
Balancing treatment and control group with - weight -Hi I have a cross sectional study (individuals from 26 countries) in an RD-design. The treatment is…
-heatplot- update: -fast- option for big dataAn update to the heatplot package is now available from SSC. To install the update, type Code: . s…
Comparison of the dataHello room, Am struggling to do variation comparison between variables. What is the best method to …
Update to -estout- available from SSCAn update to the estout package is available from the SSC Archive. The update fixes a number of issu…
Subscribe to:
Post Comments (Atom)
0 Response to Dependent binary variable with relative frequiencies of 5% and 95%
Post a Comment