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[null,"1.","Record Nr.",null,"UNINA9910450031003321"]
[null,null,"Autore",null,"Twisk Jos W. R. <1962->"]
[null,null,"Titolo",null,"Applied longitudinal data analysis for epidemiology [[electronic resource] ] : a practical guide / / Jos W.R. Twisk"]
[null,null,"Pubbl/distr/stampa",null,"Cambridge, UK ; ; New York, : Cambridge University Press, 2003"]
[null,null,"ISBN",null,"1-107-13590-7"]
[{"$nulls":4},"1-280-16250-3"]
[{"$nulls":4},"9786610162505"]
[{"$nulls":4},"1-139-14880-X"]
[{"$nulls":4},"0-511-12110-5"]
[{"$nulls":4},"0-511-06160-9"]
[{"$nulls":4},"0-511-05527-7"]
[{"$nulls":4},"0-511-30639-3"]
[{"$nulls":4},"0-511-07006-3"]
[null,null,"Descrizione fisica",null,"1 online resource (319 p.)"]
[null,null,"Disciplina",null,"614.4/07/27"]
[null,null,"Soggetti",null,"Epidemiology - Research - Statistical methods"]
[{"$nulls":4},"Epidemiology"]
[{"$nulls":4},"Epidemiology - Statistical methods"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 286-294) and index."]
[null,null,"Nota di contenuto",null,"Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; Acknowledgements; 1 Introduction; 2 Study design; 3 Continuous outcome variables; 4 Continuous outcome variables - relationships with other variables; 5 Other possibilities for modelling longitudinal data; 6 Dichotomous outcome variables; 7 Categorical and 'count' outcome variables; 8 Longitudinal studies with two measurements: the definition and analysis of change; 9 Analysis of experimental studies; 10 Missing data in longitudinal studies; 11 Tracking; 12 Software for longitudinal data analysis; 13 Sample size calculations"]
[{"$nulls":4},"ReferencesIndex"]
[null,null,null,"Sommario/riassunto","In 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 "]
[{"$nulls":4},"coefficient analysis. This practical guide is suitable for non-statisticians involved in medical research and epidemiology."]