| P50 | author | Valentin Rousson | Q42657865 |
| | Stéphanie Baggio | Q46868603 |
| | Katia Iglesias | Q56952578 |
| P2860 | cites work | A tutorial on count regression and zero-altered count models for longitudinal substance use data | Q30558392 |
| | Approaches for dealing with various sources of overdispersion in modeling count data: Scale adjustment versus modeling | Q30962493 |
| | The importance of distribution-choice in modeling substance use data: a comparison of negative binomial, beta binomial, and zero-inflated distributions. | Q30979242 |
| | Do alternative methods for analysing count data produce similar estimates? Implications for meta-analyses | Q31024883 |
| | Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data? | Q31138597 |
| | A cautionary note regarding count models of alcohol consumption in randomized controlled trials | Q33273978 |
| | Overdispersion tests in count-data analysis. | Q33382430 |
| | Statistical modelling for falls count data | Q33531572 |
| | Methodologic challenges in the analysis of count data in radiology health services research | Q33977908 |
| | Improving the analysis and modeling of substance use. | Q36218531 |
| | Marginalized zero-inflated negative binomial regression with application to dental caries | Q36784298 |
| | A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity | Q55879648 |
| | Regression Models for Count Data in R | Q57263840 |
| | Regression analyses of counts and rates: Poisson, overdispersed Poisson, and negative binomial models | Q71592398 |
| P433 | issue | 1 | |
| P577 | publication date | 2017-10-13 | |
| P1433 | published in | International Journal of Methods in Psychiatric Research | Q15752770 |
| P1476 | title | Modeling count data in the addiction field: Some simple recommendations | |
| P478 | volume | 27 | |