Application of a Causal Discovery Algorithm to the Analysis of Arthroplasty Registry Data.

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Application of a Causal Discovery Algorithm to the Analysis of Arthroplasty Registry Data.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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Application of a Causal Discov ...... of Arthroplasty Registry Data.

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Application of a Causal Discov ...... of Arthroplasty Registry Data.

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Application of a Causal Discov ...... of Arthroplasty Registry Data.

@en

Application of a Causal Discov ...... of Arthroplasty Registry Data.

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Application of a Causal Discov ...... of Arthroplasty Registry Data.

@en

Application of a Causal Discov ...... of Arthroplasty Registry Data.

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P1476

Application of a Causal Discov ...... of Arthroplasty Registry Data.

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P2093

Brian R Hallstrom

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Camden Cheek

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Huiyong Zheng

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Richard E Hughes

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P2860

An overview of relations among causal modelling methods

Maternal pesticide exposure from multiple sources and selected congenital anomalies.

The design of the acetabular component and size of the femoral head influence the risk of revision following 34 721 single-brand cemented hip replacements: a retrospective cohort study of medium-term data from a National Joint Registry.

Data, design, and background knowledge in etiologic inference.

A distributed health data network analysis of survival outcomes: the International Consortium of Orthopaedic Registries perspective.

Meta-analysis of survival curve data using distributed health data networks: application to hip arthroplasty studies of the International Consortium of Orthopaedic Registries.

Statistical analysis of arthroplasty register data

Arthroplasty registries around the world: valuable sources of hip implant revision risk data

Outcome and reproducibility of data concerning the Oxford unicompartmental knee arthroplasty: a structured literature review including arthroplasty registry data

Statistical analysis of arthroplasty data. I. Introduction and background.

P304

1179597218756896

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scholarly article

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10.1177/1179597218756896

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2018-02-22T00:00:00Z

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29511363

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5826097

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