03087nam 22006974a 450 991082595770332120240410060012.01-107-13590-71-280-16250-397866101625051-139-14880-X0-511-12110-50-511-06160-90-511-05527-70-511-30639-30-511-07006-3(CKB)1000000000018142(EBL)218068(OCoLC)76960658(SSID)ssj0000104739(PQKBManifestationID)11127853(PQKBTitleCode)TC0000104739(PQKBWorkID)10085295(PQKB)11697049(MiAaPQ)EBC218068(Au-PeEL)EBL218068(CaPaEBR)ebr10070002(CaONFJC)MIL16250(EXLCZ)99100000000001814220020318d2003 uy 0engur|n|---|||||txtccrApplied longitudinal data analysis for epidemiology a practical guide /Jos W.R. Twisk1st ed.Cambridge, UK ;New York Cambridge University Press20031 online resource (319 p.)Description based upon print version of record.0-521-52580-2 0-521-81976-8 Includes bibliographical references (p. 286-294) and index.Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; Acknowledgements; 1 Introduction; 2 Study design; 3 Continuous outcome variables; 4 Continuous outcome variables - relationships with other variables; 5 Other possibilities for modelling longitudinal data; 6 Dichotomous outcome variables; 7 Categorical and 'count' outcome variables; 8 Longitudinal studies with two measurements: the definition and analysis of change; 9 Analysis of experimental studies; 10 Missing data in longitudinal studies; 11 Tracking; 12 Software for longitudinal data analysis; 13 Sample size calculationsReferencesIndexIn this book the most important techniques available for longitudinal data analysis are discussed, including simple techniques such as the paired t-test and summary statistics, and more sophisticated techniques such as generalised estimating equations and random coefficient analysis. This practical guide is suitable for non-statisticians involved in medical research and epidemiology.EpidemiologyResearchStatistical methodsEpidemiologyLongitudinal studiesEpidemiologyStatistical methodsEpidemiologyResearchStatistical methods.EpidemiologyEpidemiologyStatistical methods.614.4/07/27Twisk Jos W. R.1962-1137751MiAaPQMiAaPQMiAaPQBOOK9910825957703321Applied longitudinal data analysis for epidemiology3975636UNINA