1.Lessons learned: Linking patient-reported outcomes data with administrative databases

作　　者：Laura Davis ;Alyson Mahar ;Lev Bubis 等

出　　处：International Journal of Population Data Science. 2018 ;3(4):1-1.doi:10.23889/ijpds.v3i4.824

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文章 ID：255133272

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2.Factors associated with screen-detected breast cancer across five Canadian provinces: a CanIMPACT study

作　　者：Mary McBride ;Marcy Winget ;Patti Groome 等

出　　处：International Journal of Population Data Science. 2018 ;3(4):1-1.doi:10.23889/ijpds.v3i4.591

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文章 ID：255133386

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3.Quantifying intersecting structural racism in the youth criminal justice system: a whole-population linked administrative data study from Manitoba.

作　　者：Marni Brownell ;Stephanie Sinclair ;Nathan Nickel 等

出　　处：International Journal of Population Data Science. 2022 ;7(3):1-1.doi:10.23889/ijpds.v7i3.1832

出版社：Swansea University

文章 ID：1039063269

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4.Birth outcomes among Métis women and infants in Manitoba, Canada: A linked administrative data study using health system and justice system data.

作　　者：Jennifer Enns ;Julianne Sanguins ;Marni Brownell 等

出　　处：International Journal of Population Data Science. 2022 ;7(3):1-1.doi:10.23889/ijpds.v7i3.1927

出版社：Swansea University

文章 ID：1039063367

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5.Experiences of Red River Métis Accessing COVID Vaccines: A partnership-based, whole-population linked administrative data study.

作　　者：Nathan C. Nickel ;Julianne Sanguins ;Okechukwu Ekuma 等

出　　处：International Journal of Population Data Science. 2022 ;7(3):1-1.doi:10.23889/ijpds.v7i3.1944

出版社：Swansea University

文章 ID：1039063382

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6.Risk of children being taken into care amongst Metis parents experiencing incarceration: A linked administrative data study.

作　　者：Emily Brownell ;Julianne Sanguins ;Jennifer Enns 等

出　　处：International Journal of Population Data Science. 2022 ;7(3):1-1.doi:10.23889/ijpds.v7i3.1945

出版社：Swansea University

文章 ID：1039063383

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7.Documenting First Nations Access to COVID Vaccines: A whole-population linked administrative data study.

作　　者：Nathan C. Nickel ;Wanda Phillips-Beck ;Leona Star 等

出　　处：International Journal of Population Data Science. 2022 ;7(3):1-1.doi:10.23889/ijpds.v7i3.1947

出版社：Swansea University

文章 ID：1039063385

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8.Development of a Prediction Model for Survival Time in Esophageal Cancer Patients Treated with Resection.

作　　者：Lyndsay Harrison ;Alyson Mahar ;Natalie Coburn 等

出　　处：International Journal of Population Data Science. 2022 ;7(3).doi:10.23889/ijpds.v7i3.2097

出版社：Swansea University

文章 ID：1039063533

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