| 000 | 01150 a2200313 4500 | ||
|---|---|---|---|
| 005 | 20250518032907.0 | ||
| 264 | 0 | _c20200316 | |
| 008 | 202003s 0 0 eng d | ||
| 022 | _a1539-1612 | ||
| 024 | 7 |
_a10.1002/pst.1933 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aBurger, Divan Aristo | |
| 245 | 0 | 0 |
_aA generalized Bayesian nonlinear mixed-effects regression model for zero-inflated longitudinal count data in tuberculosis trials. _h[electronic resource] |
| 260 |
_bPharmaceutical statistics _c07 2019 |
||
| 300 |
_a420-432 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't | ||
| 650 | 0 | 4 |
_aAntitubercular Agents _xtherapeutic use |
| 650 | 0 | 4 | _aBayes Theorem |
| 650 | 0 | 4 | _aColony Count, Microbial |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aModels, Statistical |
| 650 | 0 | 4 | _aNonlinear Dynamics |
| 650 | 0 | 4 |
_aTuberculosis _xdrug therapy |
| 700 | 1 | _aSchall, Robert | |
| 700 | 1 | _aJacobs, Rianne | |
| 700 | 1 | _aChen, Ding-Geng | |
| 773 | 0 |
_tPharmaceutical statistics _gvol. 18 _gno. 4 _gp. 420-432 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1002/pst.1933 _zAvailable from publisher's website |
| 999 |
_c29561719 _d29561719 |
||