Analysis of Infectious Disease Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) Reviews

Book Detail
Edition: 1
Release: 1989-05-01
Publisher: Chapman and Hall/CRC
Binding: Hardcover
ISBN/ASIN: 0412309904
Format: hardcover, kindle, PDF, EPUB

Analysis of Infectious Disease Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) pdf
Description

The analysis of infectious disease data requires separate attention because standard methods of statistical inference cannot be applied directly. The reasons for this are, that infectious disease data are highly dependent and, that the infection process is only partially observable. In this book these difficulties are overcome by making appropriate model assumptions, by incorporating into the analysis the known mechanism of disease spread by means of a model and thus obtaining a more efficient analysis as well as directing attention at epidemiologically meaningful parameters. Download Analysis of Infectious Disease Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) for free via rapidshare, mediafire, 4shared, dropBox, uploading, fileserve

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Epidemiological Research Methods (Wiley Series in Probability & Statistics)

Book Detail
Edition: 1
Release: 1996-08-06
Publisher: Wiley
Binding: Paperback
ISBN/ASIN: 0471961965
Format: hardcover, kindle, PDF, EPUB

Epidemiological Research Methods (Wiley Series in Probability & Statistics) pdf
Description

The concepts of epidemiology, the science that uses statistical methods to investigate associations between risk factors and disease outcomes in human populations, are developed using examples involving real data from published studies. The relevant statistical methods are developed systematically to provide an integrated approach to observational and experimental studies. After covering basic measurement, study design, and study credibility issues, the author continues with basic statistical methods and techniques for adjusting risk estimates for confounders. Statistical models including logistic regression and the proportional hazards model for survival analysis are explained in detail in the following chapters, concluding with an explanation of the general methods for determining the sample size and power requirements for an epidemiological study. Taking advantage of the power, accessibility and user-friendliness of modern computer packages, the author uses a variety of interesting Download Epidemiological Research Methods (Wiley Series in Probability & Statistics) for free via rapidshare, mediafire, 4shared, dropBox, uploading, fileserve

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Statistical Methods for Survival Data Analysis (Wiley Series in Probability and Statistics) Pdf Reviews

Book Detail
Edition: 3
Release: 2003-04-17
Publisher: Wiley-Interscience
Binding: Hardcover
ISBN/ASIN: 0471369977
Format: hardcover, kindle, PDF, EPUB

Statistical Methods for Survival Data Analysis (Wiley Series in Probability and Statistics) pdf
Description

Third Edition brings the text up to date with new material and updated references.New content includes an introduction to left and interval censored data; the log-logistic distribution; estimation procedures for left and interval censored data; parametric methods iwth covariates; Cox's proportional hazards model (including stratification and time-dependent covariates); and multiple responses to the logistic regression model.Coverage of graphical methods has been deleted.Large data sets are provided on an FTP site for readers' convenience.Bibliographic remarks conclude each chapter. Download Statistical Methods for Survival Data Analysis (Wiley Series in Probability and Statistics) for free via rapidshare, mediafire, 4shared, dropBox, uploading, fileserve

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Statistical Methods in Spatial Epidemiology (Wiley Series in Probability and Statistics)

Book Detail
Edition: 2
Release: 2006-06-16
Publisher: Wiley
Binding: Hardcover
ISBN/ASIN: 0470014849
Format: hardcover, kindle, PDF, EPUB

Statistical Methods in Spatial Epidemiology (Wiley Series in Probability and Statistics) pdf
Description

Spatial epidemiology is the description and analysis of the geographical distribution of disease. It is more important now than ever, with modern threats such as bio-terrorism making such analysis even more complex. This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods. The book is divided into two main sections: Part 1 introduces basic definitions and terminology, along with map construction and some basic models. This is expanded upon in Part II by applying this knowledge to the fundamental problems within spatial epidemiology, such as disease mapping, ecological analysis, disease clustering, bio-terrorism, space-time analysis, surveillance and infectious disease modelling. Provides a comprehensive overview of the main statistical methods used in spatial epidemiology.Updated to include a new emphasis on bio-terrorism and disease surveillance.Emphasizes the Download Statistical Methods in Spatial Epidemiology (Wiley Series in Probability and Statistics) for free via rapidshare, mediafire, 4shared, dropBox, uploading, fileserve

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Mixed Effects Models for Complex Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Book Detail
Edition: 1
Release: 2009-11-11
Publisher: Chapman and Hall/CRC
Binding: Hardcover
ISBN/ASIN: 1420074024
Format: hardcover, kindle, PDF, EPUB

Mixed Effects Models for Complex Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) pdf
Description

Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews the corresponding class of regression model for cross-sectional data. An overview of general models and methods, along with motivating examples
After presenting real data examples and outlining general approaches to the analysis of longitudinal/clustered data and incomplete data, the book introduces linear mixed effects (LME) models, generalized linear mixed models (GLMMs), nonlinear mixed effects (NLME) models, and semiparametric and nonparametric mixed effects models. It also includes general approaches for the analysis of complex data with missing values Download Mixed Effects Models for Complex Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) for free via rapidshare, mediafire, 4shared, dropBox, uploading, fileserve

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