A generalized Bayesian nonlinear mixed-effects regression model for zero-inflated longitudinal count data in tuberculosis trials.

Burger, Divan Aristo

A generalized Bayesian nonlinear mixed-effects regression model for zero-inflated longitudinal count data in tuberculosis trials. [electronic resource] - Pharmaceutical statistics 07 2019 - 420-432 p. digital

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

1539-1612

10.1002/pst.1933 doi


Antitubercular Agents--therapeutic use
Bayes Theorem
Colony Count, Microbial
Humans
Models, Statistical
Nonlinear Dynamics
Tuberculosis--drug therapy