| 000 | 01133 a2200313 4500 | ||
|---|---|---|---|
| 005 | 20250517213634.0 | ||
| 264 | 0 | _c20200727 | |
| 008 | 202007s 0 0 eng d | ||
| 022 | _a1477-0334 | ||
| 024 | 7 |
_a10.1177/0962280218772065 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aBahamyirou, Asma | |
| 245 | 0 | 0 |
_aUnderstanding and diagnosing the potential for bias when using machine learning methods with doubly robust causal estimators. _h[electronic resource] |
| 260 |
_bStatistical methods in medical research _c06 2019 |
||
| 300 |
_a1637-1650 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't | ||
| 650 | 0 | 4 | _aBias |
| 650 | 0 | 4 | _aCausality |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aMachine Learning |
| 650 | 0 | 4 | _aModels, Statistical |
| 650 | 0 | 4 | _aProbability |
| 650 | 0 | 4 | _aPropensity Score |
| 700 | 1 | _aBlais, Lucie | |
| 700 | 1 | _aForget, Amélie | |
| 700 | 1 | _aSchnitzer, Mireille E | |
| 773 | 0 |
_tStatistical methods in medical research _gvol. 28 _gno. 6 _gp. 1637-1650 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1177/0962280218772065 _zAvailable from publisher's website |
| 999 |
_c28348688 _d28348688 |
||