{"product_id":"self-controlled-case-series-studies-a-modelling-guide-with-r-9781032095530","title":"Self-Controlled Case Series Studies: A Modelling Guide with R","description":"\u003cp\u003e • Author(s): Paddy Farrington\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eSelf-Controlled\u003c\/b\u003e \u003cb\u003eCase Series Studies: A Modelling Guide with R\u003c\/b\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eKey features of the book include: \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eA thorough yet accessible description of the SCCS method, with mathematical details provided in separate starred sections.\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eComprehensive discussion of assumptions and how they may be verified.\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eA detailed account of different SCCS models, extensions of the SCCS method, and the design of SCCS studies.\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eExtensive practical illustrations and worked examples from epidemiology.\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eFull computer code from the associated R package SCCS, which includes all the data sets used in the book.\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Paperback","offer_id":45241196511383,"sku":"9781032095530","price":3902.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781032095530.webp?v=1769227915","url":"https:\/\/atlanticbooks.com\/products\/self-controlled-case-series-studies-a-modelling-guide-with-r-9781032095530","provider":"Atlantic Books","version":"1.0","type":"link"}