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In this book the most important techniques available for longitudinal data analysis are discussed. This discussion includes simple techniques such as the paired t-test and summary statistics, but also more sophisticated techniques such as generalised estimating equations and random coefficient analysis. A distinction is made between longitudinal analysis with continuous, dichotomous, and categorical outcome variables. It should be stressed that the emphasis of the discussion lies on the interpretation of the different techniques and on the comparison of the results of different techniques. Furthermore, special chapters will deal with the analysis of two measurements, experimental studies and the problem of missing data in longitudinal studies. Finally, an extensive overview of (and a comparison between) different software packages is provided. It is important to realise that this book is a practical guide and especially suitable for non-statisticians.• Clearly understandable by non-statisticians• Compares and contrasts different techniques and methods of analysis• Illustrated with examples of real-life research questions

Epidemiology --- Diseases --- Public health --- Research --- Statistical methods. --- Epidemiologic Studies --- Longitudinal Studies --- Epidemiologic Studies. --- Data Interpretations, Statistical --- Interpretation, Statistical Data --- Statistical Data Analysis --- Statistical Data Interpretation --- Data Analysis, Statistical --- Analyses, Statistical Data --- Analysis, Statistical Data --- Data Analyses, Statistical --- Interpretations, Statistical Data --- Statistical Data Analyses --- Statistical Data Interpretations --- Epidemiological Studies --- Studies, Epidemiologic --- Epidemiologic Study --- Epidemiological Study --- Studies, Epidemiological --- Study, Epidemiologic --- Study, Epidemiological --- Data Interpretation, Statistical --- Models, Statistical --- Model, Statistical --- Models, Binomial --- Models, Polynomial --- Statistical Model --- Probabilistic Models --- Statistical Models --- Two-Parameter Models --- Binomial Model --- Binomial Models --- Model, Binomial --- Model, Polynomial --- Model, Probabilistic --- Model, Two-Parameter --- Models, Probabilistic --- Models, Two-Parameter --- Polynomial Model --- Polynomial Models --- Probabilistic Model --- Two Parameter Models --- Two-Parameter Model --- Statistics as Topic --- Longitudinal Survey --- Longitudinal Study --- Longitudinal Surveys --- Studies, Longitudinal --- Study, Longitudinal --- Survey, Longitudinal --- Surveys, Longitudinal --- Research&delete& --- Statistical methods --- Mathematical statistics --- Data Interpretation, Statistical. --- Models, Statistical. --- Bogalusa Heart Study --- California Teachers Study --- Framingham Heart Study --- Jackson Heart Study --- Tuskegee Syphilis Study --- Bogalusa Heart Studies --- California Teachers Studies --- Framingham Heart Studies --- Heart Studies, Bogalusa --- Heart Studies, Framingham --- Heart Studies, Jackson --- Heart Study, Bogalusa --- Heart Study, Framingham --- Heart Study, Jackson --- Jackson Heart Studies --- Studies, Bogalusa Heart --- Studies, California Teachers --- Studies, Jackson Heart --- Study, Bogalusa Heart --- Study, California Teachers --- Syphilis Studies, Tuskegee --- Syphilis Study, Tuskegee --- Teachers Studies, California --- Teachers Study, California --- Tuskegee Syphilis Studies --- Data Collection --- Epidemiologic Methods --- methods --- WA 105 Epidemiology --- Data Collection - methods --- Epidemiology - Research - Statistical methods --- Epidemiology - Longitudinal studies --- Epidemiology - Statistical methods