High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions.
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Estimation of the optimal regime in treatment of prostate cancer recurrence from observational data using flexible weighting models.Targeted Maximum Likelihood Estimation for Pharmacoepidemiologic Research.On the role of marginal confounder prevalence - implications for the high-dimensional propensity score algorithm.The impact of adherence to inhaled drugs on 5-year survival in COPD patients: a time dependent approach.A comparison of confounding adjustment methods for assessment of asthma controller medication effectivenessEstimating inverse probability weights using super learner when weight-model specification is unknown in a marginal structural Cox model context.Strategies to Prioritize Clinical Options in Primary Care.simcausal R Package: Conducting Transparent and Reproducible Simulation Studies of Causal Effect Estimation with Complex Longitudinal Data.Collaborative-controlled LASSO for constructing propensity score-based estimators in high-dimensional data.Real-world complexity of atrial fibrillation treatment with oral anticoagulants: design and interpretation of pharmacoepidemiological studies.
P2860
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P2860
High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions.
description
2014 nî lūn-bûn
@nan
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
2014年论文
@zh
2014年论文
@zh-cn
name
High-dimensional propensity sc ...... th time-varying interventions.
@en
type
label
High-dimensional propensity sc ...... th time-varying interventions.
@en
prefLabel
High-dimensional propensity sc ...... th time-varying interventions.
@en
P2093
P2860
P356
P1476
High-dimensional propensity sc ...... ith time-varying interventions
@en
P2093
John D Seeger
Julie A Schmittdiel
Romain Neugebauer
Sebastian Schneeweiss
P2860
P304
P356
10.1002/SIM.6377
P407
P577
2014-12-08T00:00:00Z