000 | 01002 a2200301 4500 | ||
---|---|---|---|
005 | 20250518091531.0 | ||
264 | 0 | _c20211025 | |
008 | 202110s 0 0 eng d | ||
022 | _a1541-0420 | ||
024 | 7 |
_a10.1111/biom.13261 _2doi |
|
040 |
_aNLM _beng _cNLM |
||
100 | 1 | _aLuo, Yu | |
245 | 0 | 0 |
_aBayesian latent multi-state modeling for nonequidistant longitudinal electronic health records. _h[electronic resource] |
260 |
_bBiometrics _c03 2021 |
||
300 |
_a78-90 p. _bdigital |
||
500 | _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't | ||
650 | 0 | 4 | _aAlgorithms |
650 | 0 | 4 | _aBayes Theorem |
650 | 0 | 4 | _aElectronic Health Records |
650 | 0 | 4 | _aHumans |
650 | 0 | 4 | _aMarkov Chains |
650 | 0 | 4 | _aMonte Carlo Method |
700 | 1 | _aStephens, David A | |
700 | 1 | _aVerma, Aman | |
700 | 1 | _aBuckeridge, David L | |
773 | 0 |
_tBiometrics _gvol. 77 _gno. 1 _gp. 78-90 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1111/biom.13261 _zAvailable from publisher's website |
999 |
_c30732688 _d30732688 |