Showing posts with label health. Show all posts
Showing posts with label health. Show all posts

Monday, September 12, 2011

Population and Health in Developing Countries, Volume 1: Population, Health, and Survival in INDEPTH Sites

Population and Health in Developing Countries, Volume 1: Population, Health, and Survival in INDEPTH Sites Review


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Population and Health in Developing Countries, Volume 1: Population, Health, and Survival in INDEPTH Sites Feature

For the one billion people living in the world’s poorest countries, where the burden of disease is highest, those who are born or who die are still not counted. The health profile of these populations is akin to an iceberg: the bulk of reliable data remains hidden. This great information void is a major, long-standing constraint to the articulation of effective policies and programs aimed at improving the health of the world’s poor. As such, it perpetuates profound health inequities in the developing nations of the South. This first volume of Population and Health in Developing Countries presents new and critical data recorded at the INDEPTH research sites. The impact of the HIV/AIDS pandemic in sub-Saharan Africa is leading to demographic changes in mortality patterns hitherto unseen and undocumented. This publication addresses this fundamental gap and, in doing so, describes patterns of mortality that current models are unable to provide. Starting with a description of the basic methods used, this volume summarizes mortality data, compares mortality patterns at INDEPTH sites and reports on mortality patterns for Africa.


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Friday, March 18, 2011

Bioinformatics and Computational Biology Solutions Using R and Bioconductor (Statistics for Biology and Health)

Bioinformatics and Computational Biology Solutions Using R and Bioconductor (Statistics for Biology and Health) Review


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Bioinformatics and Computational Biology Solutions Using R and Bioconductor (Statistics for Biology and Health) Feature

Full four-color book.

Some of the editors created the Bioconductor project and Robert Gentleman is one of the two originators of R.

All methods are illustrated with publicly available data, and a major section of the book is devoted to fully worked case studies.

Code underlying all of the computations that are shown is made available on a companion website, and readers can reproduce every number, figure, and table on their own computers.


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Thursday, December 2, 2010

The Statistical Analysis of Recurrent Events (Statistics for Biology and Health)

The Statistical Analysis of Recurrent Events (Statistics for Biology and Health) Review


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The Statistical Analysis of Recurrent Events (Statistics for Biology and Health) Feature

This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage of the major approaches to analysis, while emphasizing the modeling assumptions that they are based on. More general intensity-based models are also considered, as well as simpler models that focus on rate or mean functions. Parametric, nonparametric and semiparametric methodologies are all covered, with procedures for estimation, testing and model checking.


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Saturday, November 27, 2010

Pervasive Computing for Quality of Life Enhancement: 5th International Conference On Smart Homes and Health Telematics, ICOST 2007, Nara, Japan, June ... Applications, incl. Internet/Web, and HCI)

Pervasive Computing for Quality of Life Enhancement: 5th International Conference On Smart Homes and Health Telematics, ICOST 2007, Nara, Japan, June ... Applications, incl. Internet/Web, and HCI) Review


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Pervasive Computing for Quality of Life Enhancement: 5th International Conference On Smart Homes and Health Telematics, ICOST 2007, Nara, Japan, June ... Applications, incl. Internet/Web, and HCI) Feature

This book constitutes the refereed proceedings of the 5th International Conference On Smart Homes and Health Telematics, ICOST 2007, held in Nara, Japan in June 2007. It presents the latest approaches and technical solutions in the area of smart homes, health telematics, and emerging enabling technologies.


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Monday, November 30, 2009

Survival and Event History Analysis: A Process Point of View (Statistics for Biology and Health)

Survival and Event History Analysis: A Process Point of View (Statistics for Biology and Health) Review


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Survival and Event History Analysis: A Process Point of View (Statistics for Biology and Health) Feature

The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data manifests itself fully. The common denominator of such models is stochastic processes. The authors show how counting processes, martingales, and stochastic integrals fit very nicely with censored data. Beginning with standard analyses such as Kaplan-Meier plots and Cox regression, the presentation progresses to the additive hazard model and recurrent event data. Stochastic processes are also used as natural models for individual frailty; they allow sensible interpretations of a number of surprising artifacts seen in population data. The stochastic process framework is naturally connected to causality. The authors show how dynamic path analyses can incorporate many modern causality ideas in a framework that takes the time aspect seriously. To make the material accessible to the reader, a large number of practical examples, mainly from medicine, are developed in detail. Stochastic processes are introduced in an intuitive and non-technical manner. The book is aimed at investigators who use event history methods and want a better understanding of the statistical concepts. It is suitable as a textbook for graduate courses in statistics and biostatistics.


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