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An analysis of data treatment methodology for longitudinal research studies.
A Longitudinal Study of Adolescent Growth reports the findings of a longitudinal study of the growth of 200 schoolboys and 100 schoolgirls through the course of adolescence. As well as height and weight, about a dozen other physical measures were studied or related to each other and to the staging of sexual characteristics. These values are analysed according to both the chronological age and age based on a common pubertal characteristic of peak height velocity. The range of magnitude and timing of pubertal events is described and compared for boys and girls. These recent data are compared with previous European and North American longitudinal studies, notably those of Tanner conducted over 20 years ago. In addition new information is provided which contrasts growth of two large cohorts of boys in different geographical and social settings, and compares the growth patterns of thin and exogenously obese subjects and of early and later maturers.
Offering a study of biological, biomedical and biocultural approaches, this book is suitable for researchers, professors and graduate students across the interdisciplinary area of human development. It is presented in the form of lectures to facilitate student programming.
Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough understanding of these techniques is therefore important for all those working in these areas. This new edition of Multilevel Statistical Models brings these techniques together, starting from basic ideas and illustrating how more complex models are derived. Bayesian methodology using MCMC has been extended along with new material on smoothing models, multivariate responses, missing data, latent normal transformations for discrete responses, structural equation modeling and survival models. Key Features: Provides a clear introduction and a comprehensive account of multilevel models. New methodological developments and applications are explored. Written by a leading expert in the field of multilevel methodology. Illustrated throughout with real-life examples, explaining theoretical concepts. This book is suitable as a comprehensive text for postgraduate courses, as well as a general reference guide. Applied statisticians in the social sciences, economics, biological and medical disciplines will find this book beneficial.
The explanation and implementation of statistical methods for the medical researcher or statistician remains an integral part of modern medical research. This book explains the use of experimental and analytical biostatistics systems. Its accessible style allows it to be used by the non-mathematician as a fundamental component of successful research. Since the third edition, there have been many developments in statistical techniques. The fourth edition provides the medical statistician with an accessible guide to these techniques and to reflect the extent of their usage in medical research. The new edition takes a much more comprehensive approach to its subject. There has been a radical reorganization of the text to improve the continuity and cohesion of the presentation and to extend the scope by covering many new ideas now being introduced into the analysis of medical research data. The authors have tried to maintain the modest level of mathematical exposition that characterized the earlier editions, essentially confining the mathematics to the statement of algebraic formulae rather than pursuing mathematical proofs. Received the Highly Commended Certificate in the Public Health Category of the 2002 BMA Books Competition.
This volume's purpose is to describe concepts and methods concerning assessment of health-related quality of life (HRQOL) in children and adolescents with a special focus on chronic health conditions. The impetus for this book came from a recognition of the increasing importance of HRQOL assessments in the evaluation of treatment outcomes and the need to increase the utilization of HRQOL assessments in research and clinical applications with a range of pediatric populations. The need to develop a volume that describes new research and clinical applications concerning this topic stemmed from several recent developments. There is a continuing need for evaluations of the efficacy of medical treatments for children and adolescents, including those with chronic health conditions. To address these critical unmet needs in the field of HRQOL assessment, and to advance scientific methods and clinical applications in this field, a conference was held at Case Western Reserve University. The conference set out to summarize current information concerning the development and implementation of measures of HRQOL assessment, to identify and consider key conceptual and methodological issues in research concerning the measurement of HRQOL, and to recommend priorities to advance the state-of-the-art in research and clinical applications of QOL assessment in children and adolescents with chronic health conditions. This volume summarizes and synthesizes the information that was presented by the conference participants in a series of lively discussions and chapters that were based on the presentations.
First multi-year cumulation covers six years: 1965-70.