9 февр. 2021 г. · If you think that some observations can only have a zero count, thus producing extra zeroes, that's a clear rationale for using a zero inflated ...

8 авг. 2020 г. · The zero-inflated negative binomial seems to be the best option at the moment, but any advice would be greatly appreciated!

16 янв. 2020 г. · I am trying to fit a sem model with crossed random effects, which my mediator model is zero-inflated poisson and my outcome model is ...

23 мар. 2017 г. · This model assumes that the zeros are a mixture of two data generating processes. If your theory does not point into this direction, I would be ...

23 окт. 2019 г. · I am running a Probit model where the dataset has a large number of zero values (98%) with "0" representing "Not faced Violence" and "1" representing "Faced ...

4 окт. 2016 г. · I believe my highly skewed dependent variable is causing the problem with convergence using logit, probit, or cloglog.

13 сент. 2024 г. · The victimization variables take values from 0 to 3, where 0 means no violent events and 3 means three or more violent events. The dental visit ...

8 авг. 2016 г. · Is there a command to model the zeros instead of the ones in logit/logistic? Also is there a command to model >0 instead of 0 in the logit part ...

21 янв. 2021 г. · The best way to deal with that kind of data (corner-solutions data) is to use Poisson regression. It is valid under very mild conditions, deals with zeros, and ...

26 авг. 2014 г. · My main concern is that the standard errors and p-values for every single coefficient in the bottom “Inflate” model are enormous. From what I've ...