24 нояб. 2022 г. · Zero-inflated logistic regressions do exist. The most "famous" example is that of a species occupancy model where the probability of presence ...

15 апр. 2019 г. · The zero-inflated negative binomial looks at variables that predict abstinence and the binomial logistic regression looks at variables that predict differences.

31 янв. 2017 г. · No. There are only two outcomes in logistic regression, adding a zero-inflated component is pointless. Also, having many zeroes does not imply zero-inflation.

16 апр. 2012 г. · If the zero-inflation is extreme, it will cause problems, not because it violates assumptions but because of the sense of the regression.

16 авг. 2021 г. · I'm afraid by using somethin like zero-inflated, since it is not counting. Any hint on where I can find a solution, or some technique to apply?

2 февр. 2021 г. · A low pseudo-R2 is not necessarily a cause for concern, it may just be that your data is not easily modeled. Why should logistic regression not ...

4 мар. 2020 г. · A beta binomial model can also be used to solve the problem of overdispersion in binomial data (eg if you use logistic regression).

16 июн. 2014 г. · I am using logistic regression models for an animal habitat occupancy study, and all the predictor variables I am interested in contain >50% zeros.

1 июл. 2013 г. · Zero-inflation is a probabilistic concept, and it means something different than "the distribution has a lot of zeroes". For instance, a Poisson ...

28 нояб. 2017 г. · With zero-inflated models the logistic part of the model predicts non-occurrence of the outcome. Here you can fins another example https:// ...