Conducting Privacy-Preserving Multivariable Propensity Score Analysis When Patient Covariate Information Is Stored in Separate Locations.

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Conducting Privacy-Preserving Multivariable Propensity Score Analysis When Patient Covariate Information Is Stored in Separate Locations.

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2017 nî lūn-bûn

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2017年の論文

@ja

2017年論文

@yue

2017年論文

@zh-hant

2017年論文

@zh-hk

2017年論文

@zh-mo

2017年論文

@zh-tw

2017年论文

@wuu

2017年论文

@zh

2017年论文

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Conducting Privacy-Preserving ...... Stored in Separate Locations.

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label

Conducting Privacy-Preserving ...... Stored in Separate Locations.

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prefLabel

Conducting Privacy-Preserving ...... Stored in Separate Locations.

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P1476

Conducting Privacy-Preserving ...... Stored in Separate Locations.

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P2093

Justin Bohn

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Sebastian Schneeweiss

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Wesley Eddings

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P2860

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Multivariable confounding adjustment in distributed data networks without sharing of patient-level data.

High-dimensional propensity score adjustment in studies of treatment effects using health care claims data

Multivariate-adjusted pharmacoepidemiologic analyses of confidential information pooled from multiple health care utilization databases

Privacy-maintaining propensity score-based pooling of multiple databases applied to a study of biologics.

Anticonvulsant medications and the risk of suicide, attempted suicide, or violent death.

Design considerations, architecture, and use of the Mini-Sentinel distributed data system.

Analytic strategies to adjust confounding using exposure propensity scores and disease risk scores: nonsteroidal antiinflammatory drugs and short-term mortality in the elderly.

P304

501-510

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P31

scholarly article

P356

10.1093/AJE/KWW155

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P407

English

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P478

185

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P577

2017-03-01T00:00:00Z

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P698

28399565

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P921

covariate

P932

5391702

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