| 000 | 01707 a2200481 4500 | ||
|---|---|---|---|
| 005 | 20250515191210.0 | ||
| 264 | 0 | _c20100105 | |
| 008 | 201001s 0 0 eng d | ||
| 022 | _a1476-072X | ||
| 024 | 7 |
_a10.1186/1476-072X-8-54 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aHibbert, James D | |
| 245 | 0 | 0 |
_aEvaluating geographic imputation approaches for zip code level data: an application to a study of pediatric diabetes. _h[electronic resource] |
| 260 |
_bInternational journal of health geographics _cOct 2009 |
||
| 300 |
_a54 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article; Research Support, N.I.H., Extramural; Validation Study | ||
| 650 | 0 | 4 | _aAdolescent |
| 650 | 0 | 4 | _aChi-Square Distribution |
| 650 | 0 | 4 | _aChild |
| 650 | 0 | 4 | _aChild, Preschool |
| 650 | 0 | 4 | _aCluster Analysis |
| 650 | 0 | 4 |
_aData Collection _xstandards |
| 650 | 0 | 4 |
_aDiabetes Mellitus, Type 1 _xepidemiology |
| 650 | 0 | 4 |
_aDiabetes Mellitus, Type 2 _xepidemiology |
| 650 | 0 | 4 |
_aGeographic Information Systems _xstandards |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aInfant |
| 650 | 0 | 4 | _aInfant, Newborn |
| 650 | 0 | 4 |
_aPostal Service _xstatistics & numerical data |
| 650 | 0 | 4 | _aReproducibility of Results |
| 650 | 0 | 4 | _aStochastic Processes |
| 650 | 0 | 4 |
_aUnited States _xepidemiology |
| 650 | 0 | 4 | _aYoung Adult |
| 700 | 1 | _aLiese, Angela D | |
| 700 | 1 | _aLawson, Andrew | |
| 700 | 1 | _aPorter, Dwayne E | |
| 700 | 1 | _aPuett, Robin C | |
| 700 | 1 | _aStandiford, Debra | |
| 700 | 1 | _aLiu, Lenna | |
| 700 | 1 | _aDabelea, Dana | |
| 773 | 0 |
_tInternational journal of health geographics _gvol. 8 _gp. 54 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1186/1476-072X-8-54 _zAvailable from publisher's website |
| 999 |
_c19208786 _d19208786 |
||