Self-Controlled Case Series Studies : A Modelling Guide with R
Self-Controlled Case Series Studies: A Modelling Guide with R provides the first comprehensive account of the self-controlled case series (SCCS) method, a statistical technique for investigating associations between outcome events and time-varying exposures. The method only requires information from...
| Autores principales: | , , |
|---|---|
| Formato: | Libro |
| Publicado: |
Chapman and Hall/CRC
2018
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=1769537&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 1769537 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: Self-Controlled Case Series Studies : A Modelling Guide with R aug: au: Paddy Farrington Heather Whitaker Yonas Ghebremichael Weldeselassie sertl: Chapman & Hall/CRC Biostatistics Series isbn: 9781498781596 9780367828998 9781032095530 9780429957529 9780429957536 9780429491313 imageinfo: pubinfo: dt: @attributes: year: 2018 month: 01 day: 01 dtAvail: @attributes: year: 2018 month: 05 day: 14 pub: Chapman and Hall/CRC pubContract: CRC Press (Unlimited) place: Boca Raton, Florida price: 0.01 limitsGroup: maxCheckoutDays: 1500 copyPages: -1 pda: N printPagesOffline: 60 printPagesOnline: 60 previewPages: 10000 prePubGroup: dewey: @attributes: class: 610.724 item: 610 .724 lc: @attributes: class: R850 .F37 2018eb item: R 850 .F37 2018eb artinfo: ui: 1769537 1035389982 formats: fmt: @attributes: type: EB doid: NL$1769537$PDF caption: PDF download: Y tig: atl: Self-Controlled Case Series Studies : A Modelling Guide with R ptl: Self-Controlled Case Series Studies aug: au: Paddy Farrington Heather Whitaker Yonas Ghebremichael Weldeselassie su: Clinical trials--Methodology Medicine--Research--Methodology sug: subj: MEDICAL / Epidemiology MEDICAL / Biostatistics Clinical trials--Methodology Medicine--Research--Methodology ab: Self-Controlled Case Series Studies: A Modelling Guide with R provides the first comprehensive account of the self-controlled case series (SCCS) method, a statistical technique for investigating associations between outcome events and time-varying exposures. The method only requires information from individuals who have experienced the event of interest, and automatically controls for multiplicative time-invariant confounders, even when these are unmeasured or unknown. It is increasingly being used in epidemiology, most frequently to study the safety of vaccines and pharmaceutical drugs.Key features of the book include: A thorough yet accessible description of the SCCS method, with mathematical details provided in separate starred sections. Comprehensive discussion of assumptions and how they may be verified. A detailed account of different SCCS models, extensions of the SCCS method, and the design of SCCS studies. Extensive practical illustrations and worked examples from epidemiology. Full computer code from the associated R package SCCS, which includes all the data sets used in the book. The book is aimed at a broad range of readers, including epidemiologists and medical statisticians who wish to use the SCCS method, and also researchers with an interest in statistical methodology. The three authors have been closely involved with the inception, development, popularisation and programming of the SCCS method. pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
|---|