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E-book
Author Farrington, Paddy, author

Title Self-controlled case series studies : a modelling guide with R / Paddy Farrington, Heather Whitaker, Yonas Ghebremichael Weldeselassie
Published Boca Raton, Florida : CRC Press, [2018]
©2018

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Description 1 online resource
Series Chapman & Hall/CRC Biostatistics Series
Contents Cover; Half title; Chapman & Hall/CRC Biostatistics Series; Title; Copyrights; Dedication; Contents; Preface; 1 Introduction; 1.1 Control and self-control in epidemiology; 1.2 Self-controlled methods; 1.3 Guide to contents; 1.4 Computer package and data; 2 Epidemiological overview; 2.1 Genesis of the SCCS method; 2.2 Rationale for the SCCS method; 2.2.1 Case series; 2.2.2 Self-control; 2.2.3 Data requirements; 2.3 Some illustrations; 2.3.1 Using only cases; 2.3.2 Controlling confounding; 2.4 Assumptions and alternatives; 2.4.1 Assumptions of the SCCS method
2.4.2 What if the assumptions are not satis ed?2.5 Bibliographical notes and further material; 3 The SCCS likelihood; 3.1 Why start with the likelihood?; 3.2 Likelihood for the standard SCCS model; 3.3 Properties of the SCCS likelihood; 3.4 Example: MMR vaccine and aseptic meningitis; 3.5 The general SCCS likelihood; 3.6 MMR vaccine and aseptic meningitis: derivation of the SCCS likelihood; 3.7 Assumptions of the SCCS method; 3.7.1 Assumption 1: Poisson or rare events; 3.7.2 A counter-example: negative binomial events*; 3.7.3 Assumptions 2 and 3: validity of conditioning
3.7.4 A more formal demonstration*3.7.5 Assumption 4: independent ascertainment; 3.8 Derivation of the SCCS likelihood*; 3.9 Bibliographical notes and further material; 4 The standard SCCS model; 4.1 Proportional incidence models; 4.2 Fitting the standard SCCS model; 4.3 The R package SCCS: standard SCCS model; 4.3.1 A single point exposure: MMR vaccine and ITP; 4.3.2 Reshaping the MMR vaccine and ITP data; 4.3.3 Extended exposures: antidepressants and hip fracture; 4.4 Data formats for repeated exposures; 4.4.1 Intermittent treatments: NSAIDs and GI bleeds
4.4.2 Multiple vaccine doses: convulsions and DTP vaccine4.5 Multiple exposure types; 4.5.1 Exposures of several types: convulsions, Hib and MMR vaccines; 4.5.2 Multiple exposures of several types: NSAIDs, antidepressants and GI bleeds; 4.5.3 Multiple doses of di erent vaccines: convulsions, DTP and Hib vaccines; 4.5.4 Overlapping risk periods: convulsions and DTP; 4.6 Comparing models: likelihood ratio tests; 4.6.1 Comparing models: ITP and MMR vaccine; 4.6.2 Combining multinomial categories*; 4.7 Interactions: e ect modi cation and strati cation; 4.7.1 Interactions: sex, ITP and MMR vaccine
4.7.2 Interactions between exposures: GI bleeds, NSAIDs and antidepressants4.8 Inde nite and extremal risk periods; 4.8.1 Curtailed observation: antidiabetics and fractures; 4.8.2 Inde nite risk periods: MMR vaccine and autism; 4.8.3 Initial risk periods: NRT and MI; 4.9 SCCS analyses with temporal e ects; 4.9.1 Calendar time: GBS and in uenza vaccine; 4.9.2 Seasonal SCCS model: OPV and intussusception; 4.10 Parameterisation of the standard SCCS model*; 4.11 Bibliographical notes and further material; 5 Checking model assumptions; 5.1 Rare disease assumption for non-recurrent events
Summary ""The self-controlled case series (SCCS) is one of the most important self-controlled designs in observational research, but has often been misunderstood and even misapplied. This book, written by the team that has led the development of the SCCS from the beginning, is an essential guide to all aspects related to this method." Dr. Martijn Schuemie, OHDSIThis book provides the first comprehensive account of the self-controlled case series (SCCS) method, a statistical method 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."--Provided by publisher
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (EBSCO, viewed May 14, 2018)
Subject Medicine -- Research -- Methodology
Clinical trials -- Methodology
HEALTH & FITNESS -- Holism.
HEALTH & FITNESS -- Reference.
MEDICAL -- Alternative Medicine.
MEDICAL -- Atlases.
MEDICAL -- Essays.
MEDICAL -- Family & General Practice.
MEDICAL -- Holistic Medicine.
MEDICAL -- Osteopathy.
Clinical trials -- Methodology
Medicine -- Research -- Methodology
Form Electronic book
Author Whitaker, Heather, author
Ghebremichael Weldeselassie, Yonas, author
ISBN 9780429491313
042949131X
9780429957536
042995753X