statistical methods for overdispersed count data

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Statistical Methods for Overdispersed Count Data
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Publisher : Elsevier
Release Date :
ISBN 10 : 008102374X
Pages : 192 pages
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Statistical Methods for Overdispersed Count Data provides a review of the most recent methods and models for such data, including a description of R functions and packages that allow their implementation. All methods are illustrated on datasets arising in the field of health economics. As several tools have been developed to tackle over-dispersed and zero-inflated data (such as adjustment methods and zero-inflated models), this book covers the topic in a comprehensive and interesting manner. Includes reading on several levels, including methodology and applications Presents the state-of-the-art on the most recent zero-inflated regression models Contains a single dataset that is used as a common thread for illustrating all methodologies Includes R code that allows the reader to apply methodologies

Statistical Methods for Overdispersed Count Data

Statistical Methods for Overdispersed Count Data provides a review of the most recent methods and models for such data, including a description of R functions and packages that allow their implementation. All methods are illustrated on datasets arising in the field of health economics. As several tools have been developed

GET BOOK!
Modeling Count Data

"This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the

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Statistical Methods for Modeling Count Data with Overdispersion and Missing Time Varying Categorical Covariates

Download or read online Statistical Methods for Modeling Count Data with Overdispersion and Missing Time Varying Categorical Covariates written by Elizabeth H. Payne, published by Unknown which was released on 2016. Get Statistical Methods for Modeling Count Data with Overdispersion and Missing Time Varying Categorical Covariates Books now! Available in PDF,

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Statistical Methods for Rates and Proportions

* Includes a new chapter on logistic regression. * Discusses the design and analysis of random trials. * Explores the latest applications of sample size tables. * Contains a new section on binomial distribution.

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Econometric Analysis of Count Data

The primary objective of this book is to provide an introduction to the econometric modeling of count data for graduate students and researchers. It should serve anyone whose interest lies either in developing the field fur ther, or in applying existing methods to empirical questions. Much of the material included

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Statistical Theory and Method Abstracts

Download or read online Statistical Theory and Method Abstracts written by Anonim, published by Unknown which was released on 2000. Get Statistical Theory and Method Abstracts Books now! Available in PDF, ePub and Kindle.

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Properties of Hurdle Negative Binomial Models for Zero inflated and Overdispersed Count Data

While studying rare events or behaviors in education and social science research, it is usual to encounter zero-inflated and/or overdispersed count data. Modeling the total number of serious violent incidents reported to the police that occurred on school campus from the 2010 School Survey on Crime and Safety (SSOCS) represents

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Regression Analysis of Count Data

This book provides the most comprehensive and up-to-date account of regression methods to explain the frequency of events.

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2000 Proceedings of the Section on Physical and Engineering Sciences  American Statistical Association

Download or read online 2000 Proceedings of the Section on Physical and Engineering Sciences American Statistical Association written by American Statistical Association. Section on Physical and Engineering Sciences, published by Unknown which was released on 2000. Get 2000 Proceedings of the Section on Physical and Engineering Sciences American Statistical Association Books now! Available

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Applied Categorical and Count Data Analysis

Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors describe the basic ideas underlying each concept, model, and approach to give readers a good grasp of the fundamentals of

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Current Index to Statistics  Applications  Methods and Theory

Download or read online Current Index to Statistics Applications Methods and Theory written by Anonim, published by Unknown which was released on 1999. Get Current Index to Statistics Applications Methods and Theory Books now! Available in PDF, ePub and Kindle.

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The Generalized Monotone Incremental Forward Stagewise Method for Modeling Longitudinal  Clustered  and Overdispersed Count Data

With the influx of high-dimensional data there is an immediate need for statistical methods that are able to handle situations when the number of predictors greatly exceeds the number of samples. One such area of growth is in examining how environmental exposures to toxins impact the body long term. The

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Statistical Methods for Time conditional Survival Probability and Equally Spaced Count Data

This dissertation develops statistical methods for time-conditional survival probability and for equally spaced count data. Time-conditional survival probabilities are an alternative measure of future survival by accounting for time elapsed from diagnosis and are estimated as a ratio of survival probabilities. In Chapter 2, we derive the asymptotic distribution of a

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Negative Binomial Regression

This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed,

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Overdispersion

Overdispersion is commonly encountered in modelling data. Statisticians and those working in the application areas need to know how to deal with it, and this book provides a complete source for identifying and handling overdispersion. With increasing focus on modelling in the applied sciences, this book is a welcome addition

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