Statistical Methods for Overdispersed Count Data

Written By Jean-Francois Dupuy
Statistical Methods for Overdispersed Count Data
  • Publsiher : Elsevier
  • Release : 19 November 2018
  • ISBN : 008102374X
  • Pages : 192 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Statistical Methods for Overdispersed Count Data written by Jean-Francois Dupuy which was release on 19 November 2018, this book published by Elsevier. Available in PDF, EPUB and Kindle Format. Book excerpt: 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
  • Author : Jean-Francois Dupuy
  • Publisher : Elsevier
  • Release Date : 2018-11-19
  • Total pages : 192
  • ISBN : 008102374X
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Summary : 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 ...

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

Statistical Methods for Modeling Count Data with Overdispersion and Missing Time Varying Categorical Covariates
  • Author : Elizabeth H. Payne
  • Publisher : Unknown
  • Release Date : 2016
  • Total pages : 296
  • ISBN : 008102374X
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Summary : 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 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, ePub ...

A Comparison of Statistical Models for Correlated Over dispersed Count Data

A Comparison of Statistical Models for Correlated Over dispersed Count Data
  • Author : Elizabeth Anne Wynn
  • Publisher : Unknown
  • Release Date : 2018
  • Total pages : 68
  • ISBN : 008102374X
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Summary : As the cost of RNA-sequencing (RNA-Seq) decreases, it becomes increasingly feasible to collect RNA-Seq data under complex study designs, including paired, longitudinal, and other correlated designs. Commonly used RNA-Seq analysis tools do not allow for correlation between observations, which is common in these types of studies. When applying statistical methods ...

Statistical Methods for Rates and Proportions

Statistical Methods for Rates and Proportions
  • Author : Joseph L. Fleiss,Bruce Levin,Myunghee Cho Paik
  • Publisher : John Wiley & Sons
  • Release Date : 2013-06-12
  • Total pages : 800
  • ISBN : 008102374X
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Summary : * 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....

Model Based Inference in the Life Sciences

Model Based Inference in the Life Sciences
  • Author : David R. Anderson
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-12-22
  • Total pages : 184
  • ISBN : 008102374X
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Summary : This textbook introduces a science philosophy called "information theoretic" based on Kullback-Leibler information theory. It focuses on a science philosophy based on "multiple working hypotheses" and statistical models to represent them. The text is written for people new to the information-theoretic approaches to statistical inference, whether graduate students, post-docs, or ...

Handbook of Statistical Methods for Randomized Controlled Trials

Handbook of Statistical Methods for Randomized Controlled Trials
  • Author : KyungMann Kim,Frank Bretz,Ying Kuen K. Cheung,Lisa V. Hampson
  • Publisher : CRC Press
  • Release Date : 2021-08-23
  • Total pages : 654
  • ISBN : 008102374X
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Summary : Statistical concepts provide scientific framework in experimental studies, including randomized controlled trials. In order to design, monitor, analyze and draw conclusions scientifically from such clinical trials, clinical investigators and statisticians should have a firm grasp of the requisite statistical concepts. The Handbook of Statistical Methods for Randomized Controlled Trials presents ...

Statistical Methods in Toxicology

Statistical Methods in Toxicology
  • Author : Ludwig Hothorn
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-03-08
  • Total pages : 161
  • ISBN : 008102374X
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Summary : This book contains selected papers from a workshop on modern statistical methods in toxicology held during the EUROTOX '90 conference in Leipzig. The papers deal with the biostatistical evaluation of the commonly used toxicological assays, i.e. mutagenicity, long-term carcinogenicity, embryotoxicity and chronic toxicity assays. The biological background is considered ...

Statistical Analysis of Microbiome Data with R

Statistical Analysis of Microbiome Data with R
  • Author : Yinglin Xia,Jun Sun,Ding-Geng Chen
  • Publisher : Springer
  • Release Date : 2018-10-06
  • Total pages : 505
  • ISBN : 008102374X
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Summary : This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of R for data analysis step by step. The data and R computer programs are publicly available, ...

Applied Categorical and Count Data Analysis

Applied Categorical and Count Data Analysis
  • Author : Wan Tang,Hua He,Xin M. Tu
  • Publisher : CRC Press
  • Release Date : 2012-06-04
  • Total pages : 384
  • ISBN : 008102374X
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Summary : 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 ...

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

Statistical Methods for Time conditional Survival Probability and Equally Spaced Count Data
  • Author : Victoria A. Gamerman
  • Publisher : Unknown
  • Release Date : 2016
  • Total pages : 354
  • ISBN : 008102374X
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Summary : 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 ...

Methods and Applications of Statistics in Clinical Trials Volume 2

Methods and Applications of Statistics in Clinical Trials  Volume 2
  • Author : N. Balakrishnan
  • Publisher : John Wiley & Sons
  • Release Date : 2014-06-16
  • Total pages : 960
  • ISBN : 008102374X
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Summary : Methods and Applications of Statistics in Clinical Trials,Volume 2: Planning, Analysis, and Inferential Methods includesupdates of established literature from the Wiley Encyclopedia ofClinical Trials as well as original material based on the latestdevelopments in clinical trials. Prepared by a leading expert, thesecond volume includes numerous contributions from currentprominent experts in ...

Essential Statistical Methods for Medical Statistics

Essential Statistical Methods for Medical Statistics
  • Author : J. Philip Miller
  • Publisher : Elsevier
  • Release Date : 2010-11-08
  • Total pages : 368
  • ISBN : 008102374X
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Summary : Essential Statistical Methods for Medical Statistics presents only key contributions which have been selected from the volume in the Handbook of Statistics: Medical Statistics, Volume 27 (2009). While the use of statistics in these fields has a long and rich history, the explosive growth of science in general, and of clinical and ...

Introduction to Statistical Methods for Biosurveillance

Introduction to Statistical Methods for Biosurveillance
  • Author : Ronald D. Fricker
  • Publisher : Cambridge University Press
  • Release Date : 2013-02-25
  • Total pages : 212
  • ISBN : 008102374X
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Summary : Bioterrorism is not a new threat, but in an increasingly interconnected world, the potential for catastrophic outcomes is greater today than ever. The medical and public health communities are establishing biosurveillance systems designed to proactively monitor populations for possible disease outbreaks as a first line of defense. The ideal biosurveillance ...

Fundamental Statistical Methods for Analysis of Alzheimer s and Other Neurodegenerative Diseases

Fundamental Statistical Methods for Analysis of Alzheimer s and Other Neurodegenerative Diseases
  • Author : Katherine E. Irimata,Brittany N. Dugger,Jeffrey R. Wilson
  • Publisher : Johns Hopkins University Press
  • Release Date : 2020-05-05
  • Total pages : 480
  • ISBN : 008102374X
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Summary : Allowing more people to aid in analyzing data—while promoting constructive dialogues with statisticians—this book will hopefully play an important part in unlocking the secrets of these confounding diseases....

Cancer Clinical Trials

Cancer Clinical Trials
  • Author : Stephen L. George,Xiaofei Wang,Herbert Pang
  • Publisher : CRC Press
  • Release Date : 2016-08-03
  • Total pages : 474
  • ISBN : 008102374X
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Summary : Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis provides statisticians with an understanding of the critical challenges currently encountered in oncology trials. Well-known statisticians from academic institutions, regulatory and government agencies (such as the U.S. FDA and National Cancer Institute), and the pharmaceutical industry share their ...