Modeling count data in the addiction field: Some simple recommendations

• Published in: International journal of methods in psychiatric research Vol. 27; no. 1
• Main Authors: Baggio, Stéphanie, Iglesias, Katia, Rousson, Valentin
• Format: Journal Article
• Language: English
• Published: United States John Wiley & Sons, Inc 01.03.2018; John Wiley and Sons Inc
• Subjects: Addictions; Biomedical Research - methods; Computer Simulation; coverage of confidence interval; Data Interpretation, Statistical; Data processing; Economic models; guidelines; Humans; Mathematical models; Models, Statistical; Original; Psychiatry - methods; Regression analysis; simulation; Statistical analysis; Statistical Distributions; substance use; type 1 error; coverage of confidence interval; substance use; guidelines; type 1 error; simulation

Analyzing count data is frequent in addiction studies but may be cumbersome, time‐consuming, and cause misleading inference if models are not correctly specified. We compared different statistical models in a simulation study to provide simple, yet valid, recommendations when analyzing count data.We...