Imputation and variable selection in linear regression models with missing covariates.
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Variable selection for multiply-imputed data with application to dioxin exposure study.Imputation-based analysis of association studies: candidate regions and quantitative traitsVariable selection in the presence of missing data: resampling and imputation.Covariate Selection for Multilevel Models with Missing Data.The cyst nematode SPRYSEC protein RBP-1 elicits Gpa2- and RanGAP2-dependent plant cell deathVARIABLE SELECTION FOR REGRESSION MODELS WITH MISSING DATA.Long-Term Cause-Specific Mortality After Surgery for Women With Breast Cancer: A 20-Year Follow-Up Study From Surveillance, Epidemiology, and End Results Cancer Registries.Using AIC in Multiple Linear Regression framework with Multiply Imputed DataTemporal trend, clinicopathologic and sociodemographic characterization of age at diagnosis of breast cancer among US women diagnosed from 1990 to 2009Validation of prediction models based on lasso regression with multiply imputed data.Are characteristics of the medical home associated with diabetes care costs?Guided Bayesian imputation to adjust for confounding when combining heterogeneous data sources in comparative effectiveness research.Penalized regression procedures for variable selection in the potential outcomes framework.Variable Selection in the Presence of Missing Data: Imputation-based Methods.Modeling haul-out behavior of walruses in Bering Sea iceCost-effectiveness of habit-based advice for weight control versus usual care in general practice in the Ten Top Tips (10TT) trial: economic evaluation based on a randomised controlled trial
P2860
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P2860
Imputation and variable selection in linear regression models with missing covariates.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh-hant
name
Imputation and variable selection in linear regression models with missing covariates.
@en
Imputation and variable selection in linear regression models with missing covariates.
@nl
type
label
Imputation and variable selection in linear regression models with missing covariates.
@en
Imputation and variable selection in linear regression models with missing covariates.
@nl
prefLabel
Imputation and variable selection in linear regression models with missing covariates.
@en
Imputation and variable selection in linear regression models with missing covariates.
@nl
P2093
P1433
P1476
Imputation and variable selection in linear regression models with missing covariates.
@en
P2093
Thomas R Belin
W John Boscardin
Xiaowei Yang
P304
P356
10.1111/J.1541-0420.2005.00317.X
P407
P577
2005-06-01T00:00:00Z