Regularized Regression Versus the High-Dimensional Propensity Score for Confounding Adjustment in Secondary Database Analyses.

Regularized Regression Versus the High-Dimensional Propensity Score for Confounding Adjustment in Secondary Database Analyses.

Item
http://www.wikidata.org/entity/Q40669508
P-values and decision-making: discussion of 'Limitations of empirical calibration of p-values using observational data'.Control of confounding in the analysis phase - an overview for clinicians.Conducting Privacy-Preserving Multivariable Propensity Score Analysis When Patient Covariate Information Is Stored in Separate Locations.Too many covariates and too few cases? - a comparative study.Collaborative-controlled LASSO for constructing propensity score-based estimators in high-dimensional data.Scalable collaborative targeted learning for high-dimensional data.Selecting Shrinkage Parameters for Effect Estimation: the Multi-Ethnic Study of Atherosclerosis.Propensity Scores in Pharmacoepidemiology: Beyond the Horizon.Comparison of privacy-protecting analytic and data-sharing methods: A simulation study
P2860

Regularized Regression Versus the High-Dimensional Propensity Score for Confounding Adjustment in Secondary Database Analyses.

Item
http://www.wikidata.org/entity/Q40669508
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Regularized Regression Versus ...... n Secondary Database Analyses.
@en
type
label
Regularized Regression Versus ...... n Secondary Database Analyses.
@en
prefLabel
Regularized Regression Versus ...... n Secondary Database Analyses.
@en
P1433
P1476
P2093
P2860
P304
P31
P356
P407
P433
P478
P577
P698
P356
P1433
P1476
Regularized Regression Versus ...... n Secondary Database Analyses.
@en
P2093
P2860
P304
P31
P356
P407
P433
P478
P577
P698