Missing in space: an evaluation of imputation methods for missing data in spatial analysis of risk factors for type II diabetes.
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Spatial modelling of type II diabetes outcomes: a systematic review of approaches usedEffects of Different Missing Data Imputation Techniques on the Performance of Undiagnosed Diabetes Risk Prediction Models in a Mixed-Ancestry Population of South AfricaRacial differences in spatial patterns for poor glycemic control in the Southeastern United States.Estimating missing values in China's official socioeconomic statistics using progressive spatiotemporal Bayesian hierarchical modeling.
P2860
Missing in space: an evaluation of imputation methods for missing data in spatial analysis of risk factors for type II diabetes.
description
2014 nî lūn-bûn
@nan
2014 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Missing in space: an evaluatio ...... factors for type II diabetes.
@ast
Missing in space: an evaluatio ...... factors for type II diabetes.
@en
type
label
Missing in space: an evaluatio ...... factors for type II diabetes.
@ast
Missing in space: an evaluatio ...... factors for type II diabetes.
@en
prefLabel
Missing in space: an evaluatio ...... factors for type II diabetes.
@ast
Missing in space: an evaluatio ...... factors for type II diabetes.
@en
P2860
P356
P1476
Missing in space: an evaluatio ...... factors for type II diabetes.
@en
P2093
Jannah Baker
Nicole White
P2860
P2888
P356
10.1186/1476-072X-13-47
P577
2014-11-20T00:00:00Z
P5875
P6179
1009230170