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| 005 | 20250518025754.0 | ||
| 264 | 0 | _c20191114 | |
| 008 | 201911s 0 0 eng d | ||
| 022 | _a2574-3805 | ||
| 024 | 7 |
_a10.1001/jamanetworkopen.2019.0004 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aGoldstein, Benjamin A | |
| 245 | 0 | 0 |
_aUsing Machine Learning to Identify Heterogeneous Effects in Randomized Clinical Trials-Moving Beyond the Forest Plot and Into the Forest. _h[electronic resource] |
| 260 |
_bJAMA network open _c03 2019 |
||
| 300 |
_ae190004 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article; Comment | ||
| 650 | 0 | 4 | _aBlood Pressure |
| 650 | 0 | 4 | _aForests |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aHypertension |
| 650 | 0 | 4 | _aMachine Learning |
| 650 | 0 | 4 | _aRandomized Controlled Trials as Topic |
| 650 | 0 | 4 | _aSmoke |
| 700 | 1 | _aRigdon, Joseph | |
| 773 | 0 |
_tJAMA network open _gvol. 2 _gno. 3 _gp. e190004 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1001/jamanetworkopen.2019.0004 _zAvailable from publisher's website |
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_c29455475 _d29455475 |
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