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000910328 010__ $$z  2012050470
000910328 020__ $$z9781107030039 
000910328 020__ $$z9781107699922 
000910328 020__ $$z9781107058040 $$q(electronic book)
000910328 035__ $$a(MiAaPQ)EBC1182964
000910328 035__ $$a(Au-PeEL)EBL1182964
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000910328 035__ $$a(OCoLC)843187582
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000910328 050_4 $$aRA652.2.M3$$bT95 2013
000910328 08204 $$a614.4$$223
000910328 1001_ $$aTwisk, Jos W. R.,$$d1962-
000910328 24510 $$aApplied longitudinal data analysis for epidemiology$$h[electronic resource] :$$ba practical guide /$$cJos W.R. Twisk, Department of Epidemiology and Biostatistics, Medical Centre and the Department of Health Sciences of the Vrije Universteit, Amsterdam.
000910328 250__ $$a2nd ed.
000910328 260__ $$aCambridge :$$bCambridge University Press,$$c2013.
000910328 300__ $$axiv, 321 p. :$$bill.
000910328 500__ $$aFirst published 2003.
000910328 504__ $$aIncludes bibliographical references and index.
000910328 5058_ $$aMachine generated contents note: Preface; Acknowledgements; 1. Introduction; 2. Study design; 3. Continuous outcome variables; 4. Continuous outcome variables - relationships with other variables; 5. The modelling of time; 6. Other possibilities for modelling longitudinal data; 7. Dichotomous outcome variables; 8. Categorical and 'count' outcome variables; 9. Analysis data from experimental studies; 10. Missing data in longitudinal studies; 11. Sample size calculations; 12. Software for longitudinal data analysis; 13. One step further; References; Index.
000910328 506__ $$aAccess limited to authorized users.
000910328 520__ $$a"The emphasis of this book lies more on the application of statistical techniques for longitudinal data analysis and not so much on the mathematical background. In most other books on the topic of longitudinal data analysis, the mathematical background is the major issue, which may not be surprising since (nearly) all the books on this topic have been written by statisticians. Although statisticians fully understand the difficult mathematical material underlying longitudinal data analysis, they often have difficulty in explaining this complex material in a way that is understandable for the researchers who have to use the technique or interpret the results. Therefore, this book is not written by a statistician, but by an epidemiologist. In fact, an epidemiologist is not primarily interested in the basic (difficult) mathematical background of the statistical methods, but in finding the answer to a specific research question; the epidemiologist wants to know how to apply a statistical technique and how to interpret the results. Owing to their different basic interests and different level of thinking, communication problems between statisticians and epidemiologists are quite common. This, in addition to the growing interest in longitudinal studies, initiated the writing of this book: a book on longitudinal data analysis, which is especially suitable for the "non-statistical" researcher (e.g. the epidemiologist). The aim of this book is to provide a practical guide on how to handle epidemiological data from longitudinal studies"--$$cProvided by publisher.
000910328 650_0 $$aEpidemiology$$xResearch$$xStatistical methods.
000910328 650_0 $$aEpidemiology$$vLongitudinal studies.
000910328 650_0 $$aEpidemiology$$xStatistical methods.
000910328 852__ $$bebk
000910328 85640 $$3ProQuest Ebook Central Academic Complete$$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=1182964$$zOnline Access
000910328 909CO $$ooai:library.usi.edu:910328$$pGLOBAL_SET
000910328 980__ $$aEBOOK
000910328 980__ $$aBIB
000910328 982__ $$aEbook
000910328 983__ $$aOnline