| 000 | 01593 a2200469 4500 | ||
|---|---|---|---|
| 005 | 20250517214407.0 | ||
| 264 | 0 | _c20200727 | |
| 008 | 202007s 0 0 eng d | ||
| 022 | _a1477-0334 | ||
| 024 | 7 |
_a10.1177/0962280218774811 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aLe Meur, Nolwenn | |
| 245 | 0 | 0 |
_aCategorical state sequence analysis and regression tree to identify determinants of care trajectory in chronic disease: Example of end-stage renal disease. _h[electronic resource] |
| 260 |
_bStatistical methods in medical research _c06 2019 |
||
| 300 |
_a1731-1740 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't | ||
| 650 | 0 | 4 | _aAdolescent |
| 650 | 0 | 4 | _aAdult |
| 650 | 0 | 4 | _aAged |
| 650 | 0 | 4 | _aAged, 80 and over |
| 650 | 0 | 4 | _aCritical Pathways |
| 650 | 0 | 4 | _aFemale |
| 650 | 0 | 4 | _aFrance |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 |
_aKidney Failure, Chronic _xtherapy |
| 650 | 0 | 4 | _aMale |
| 650 | 0 | 4 | _aMiddle Aged |
| 650 | 0 | 4 | _aModels, Statistical |
| 650 | 0 | 4 | _aRegression Analysis |
| 650 | 0 | 4 |
_aRenal Replacement Therapy _xstatistics & numerical data |
| 650 | 0 | 4 | _aTime Factors |
| 650 | 0 | 4 | _aTreatment Outcome |
| 650 | 0 | 4 | _aYoung Adult |
| 700 | 1 | _aVigneau, Cécile | |
| 700 | 1 | _aLefort, Mathilde | |
| 700 | 1 | _aLebbah, Saïd | |
| 700 | 1 | _aJais, Jean-Philippe | |
| 700 | 1 | _aDaugas, Eric | |
| 700 | 1 | _aBayat, Sahar | |
| 773 | 0 |
_tStatistical methods in medical research _gvol. 28 _gno. 6 _gp. 1731-1740 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1177/0962280218774811 _zAvailable from publisher's website |
| 999 |
_c28373371 _d28373371 |
||