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Mathematical statistics. --- Longitudinal method. --- Statistique mathématique. --- Méthode longitudinale.
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Qualitative methods in social research --- Recherche qualitative. --- Méthode longitudinale --- Longitudinal method. --- Qualitative research --- Methodology.
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Longitudinal method --- Psychology --- Méthode longitudinale --- Psychologie --- Research --- Recherche --- Analyse par cohorte --- Méthode longitudinale --- Analyse par cohorte. --- Psychology - Research
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During the last decades, there has been an explosion in computation and information technology. This development comes with an expansion of complex observational studies and clinical trials in a variety of fields such as medicine, biology, epidemiology, sociology, and economics among many others, which involve collection of large amounts of data on subjects or organisms over time. The goal of such studies can be formulated as estimation of a finite dimensional parameter of the population distribution corresponding to the observed time-dependent process. Such estimation problems arise in survival analysis, causal inference and regression analysis. This book provides a fundamental statistical framework for the analysis of complex longitudinal data. It provides the first comprehensive description of optimal estimation techniques based on time-dependent data structures subject to informative censoring and treatment assignment in so called semiparametric models. Semiparametric models are particularly attractive since they allow the presence of large unmodeled nuisance parameters. These techniques include estimation of regression parameters in the familiar (multivariate) generalized linear regression and multiplicative intensity models. They go beyond standard statistical approaches by incorporating all the observed data to allow for informative censoring, to obtain maximal efficiency, and by developing estimators of causal effects. It can be used to teach masters and Ph.D. students in biostatistics and statistics and is suitable for researchers in statistics with a strong interest in the analysis of complex longitudinal data.
Nonparametric statistics --- Longitudinal method --- Estimation theory --- Statistique non-paramétrique --- Méthode longitudinale --- Théorie de l'estimation --- Censored observations (Statistics) --- Estimation theory. --- Longitudinal method. --- Nonparametric statistics. --- Censored observations (Statistics).
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Mathematical statistics --- Statistique mathématique. --- Analyse multivariée. --- Méthode longitudinale. --- Multivariate analysis --- Longitudinal method --- wiskundige statistiek --- regressie-analyse --- multivariaat --- Mathematical statistics. --- Multivariate analysis. --- Longitudinal method.
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Mathematical statistics --- Longitudinal method --- Nonparametric statistics --- Regression analysis --- Méthode longitudinale --- Statistique non-paramétrique --- Analyse de régression --- Longitudinal method. --- Nonparametric statistics. --- Regression analysis. --- Méthode longitudinale --- Statistique non-paramétrique --- Analyse de régression
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Ethnology --- Longitudinal method --- Anthropologie sociale et culturelle --- Méthode longitudinale --- Methodology --- Congresses --- Méthodologie --- Congrès --- Méthode longitudinale --- Méthodologie --- Congrès --- Longitudinal research --- Longitudinal studies --- Research --- Social sciences --- Cultural anthropology --- Ethnography --- Races of man --- Social anthropology --- Anthropology --- Human beings --- Methodology&delete&
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Quantitative methods in social research --- Mathematical statistics --- Multivariate analysis --- Longitudinal method. --- Longitudinal method --- multivariaat --- regressie-analyse --- wiskundige statistiek --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Matrices --- Longitudinal research --- Longitudinal studies --- Methodology --- Research --- Social sciences --- Multivariate analysis. --- Statistique mathématique. --- Analyse multivariée. --- Méthode longitudinale. --- Mathematical statistics.
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This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the tools for studying social, psychological, and physiological processes in everyday contexts, using methods such as diary and experience sampling. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, apply multilevel models to within-subject designs, model within-subject change processes for continuous and categorical outcomes, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output in SPSS, SAS, Mplus, HLM, MLwiN, and R
Social sciences --- Longitudinal method. --- Sciences sociales --- Méthode longitudinale --- Methodology. --- Méthodologie --- PBIB --- Methodiek --- Daily diary method --- Quantitative methods in social research --- Méthode longitudinale --- Méthodologie --- Methodology --- Longitudinal studies --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Longitudinal methods --- Social sciences - Methodology --- Social sciences - Longitudinal studies
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