High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions. - Wikidata - awgldk - TriplyDB

High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions.

High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions.

http://www.wikidata.org/entity/Q41714170

about

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 effectiveness Estimating 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.

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High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions.

http://www.wikidata.org/entity/Q41714170

description

2014 nî lūn-bûn

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

@zh-tw

2014年论文

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2014年论文

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2014年论文

@zh-cn

name

High-dimensional propensity sc ...... th time-varying interventions.

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type

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High-dimensional propensity sc ...... th time-varying interventions.

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High-dimensional propensity sc ...... th time-varying interventions.

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Statistics in Medicine

P1476

High-dimensional propensity sc ...... ith time-varying interventions

@en

P2093

John D Seeger

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Julie A Schmittdiel

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Romain Neugebauer

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Sebastian Schneeweiss

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Zheng Zhu

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P2860

Medical management of hyperglycemia in type 2 diabetes: a consensus algorithm for the initiation and adjustment of therapy: a consensus statement of the American Diabetes Association and the European Association for the Study of Diabetes

Marginal Mean Models for Dynamic Regimes

The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. The Diabetes Control and Complications Trial Research Group

Causal inference in statistics: An overview

Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34). UK Prospective Diabetes Study (UKPDS) Group

Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes

Effects of intensive glucose lowering in type 2 diabetes

Maternal pesticide exposure from multiple sources and selected congenital anomalies.

10-year follow-up of intensive glucose control in type 2 diabetes

Glucose control and vascular complications in veterans with type 2 diabetes

P304

753-781

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scholarly article

P356

10.1002/SIM.6377

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5

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P478

34

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25488047

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