Semiparametric Odds Ratio Model And Its Applications

Author : Hua Yun Chen
Publisher : CRC Press
Page : 222 pages
File Size : 49,8 Mb
Release : 2021-12-20
Category : Mathematics
ISBN : 9781351049733

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Semiparametric Odds Ratio Model and Its Applications by Hua Yun Chen Pdf

Beginning with familiar models and moving onto advanced semiparametric modelling tools Semiparametric Odds Ratio Model and its Applications introduces readers to a new range of flexible statistical models and provides guidance on their application using real data examples. This books range of real-world examples and exploration of common statistical problems makes it an invaluable reference for research professionals and graduate students of biostatistics, statistics, and other quantitative fields. Key Features: Introduces flexible statistical models that have yet to systematically introduced in course materials. Discusses applications of the proposed modelling framework in several important statistical problems, ranging from biased sampling designs and missing data, graphical models, survival analysis, Gibbs sampler and model compatibility, and density estimation. Includes real data examples to demonstrate the use of the proposed models, and estimation and inference tools.

Author : Hua Yun Chen
Publisher : CRC Press
Page : 296 pages
File Size : 53,5 Mb
Release : 2021-12-20
Category : Mathematics
ISBN : 9781351049740

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Semiparametric Odds Ratio Model and Its Applications by Hua Yun Chen Pdf

Beginning with familiar models and moving onto advanced semiparametric modelling tools Semiparametric Odds Ratio Model and its Applications introduces readers to a new range of flexible statistical models and provides guidance on their application using real data examples. This books range of real-world examples and exploration of common statistical problems makes it an invaluable reference for research professionals and graduate students of biostatistics, statistics, and other quantitative fields. Key Features: Introduces flexible statistical models that have yet to systematically introduced in course materials. Discusses applications of the proposed modelling framework in several important statistical problems, ranging from biased sampling designs and missing data, graphical models, survival analysis, Gibbs sampler and model compatibility, and density estimation. Includes real data examples to demonstrate the use of the proposed models, and estimation and inference tools.

Author : Jing Qin
Publisher : Springer
Page : 624 pages
File Size : 52,5 Mb
Release : 2017-06-14
Category : Business & Economics
ISBN : 9789811048562

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Biased Sampling, Over-identified Parameter Problems and Beyond by Jing Qin Pdf

This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics parlance) and over-identified parameter estimation problems. Biased sampling problems appear in many areas of research, including Medicine, Epidemiology and Public Health, the Social Sciences and Economics. The book addresses a range of important topics, including case and control studies, causal inference, missing data problems, meta-analysis, renewal process and length biased sampling problems, capture and recapture problems, case cohort studies, exponential tilting genetic mixture models etc. The goal of this book is to make it easier for Ph. D students and new researchers to get started in this research area. It will be of interest to all those who work in the health, biological, social and physical sciences, as well as those who are interested in survey methodology and other areas of statistical science, among others.

Author : Stef van Buuren
Publisher : CRC Press
Page : 329 pages
File Size : 55,5 Mb
Release : 2018-07-17
Category : Mathematics
ISBN : 9780429960345

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Flexible Imputation of Missing Data, Second Edition by Stef van Buuren Pdf

Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice. Multiple imputation replaces each missing value by multiple plausible values. The variability between these replacements reflects our ignorance of the true (but missing) value. Each of the completed data set is then analyzed by standard methods, and the results are pooled to obtain unbiased estimates with correct confidence intervals. Multiple imputation is a general approach that also inspires novel solutions to old problems by reformulating the task at hand as a missing-data problem. This is the second edition of a popular book on multiple imputation, focused on explaining the application of methods through detailed worked examples using the MICE package as developed by the author. This new edition incorporates the recent developments in this fast-moving field. This class-tested book avoids mathematical and technical details as much as possible: formulas are accompanied by verbal statements that explain the formula in accessible terms. The book sharpens the reader’s intuition on how to think about missing data, and provides all the tools needed to execute a well-grounded quantitative analysis in the presence of missing data.

Author : Ding-Geng (Din) Chen,John Dean Chen
Publisher : Springer
Page : 430 pages
File Size : 55,8 Mb
Release : 2017-02-01
Category : Medical
ISBN : 9789811033070

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Monte-Carlo Simulation-Based Statistical Modeling by Ding-Geng (Din) Chen,John Dean Chen Pdf

This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical modeling, offering them a forum to present and discuss recent issues in methodological development as well as public health applications. It is divided into three parts, with the first providing an overview of Monte-Carlo techniques, the second focusing on missing data Monte-Carlo methods, and the third addressing Bayesian and general statistical modeling using Monte-Carlo simulations. The data and computer programs used here will also be made publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, and to readily apply them in their own research. Featuring highly topical content, the book has the potential to impact model development and data analyses across a wide spectrum of fields, and to spark further research in this direction.

Author : Anonim
Publisher : Unknown
Page : 810 pages
File Size : 52,7 Mb
Release : 2009
Category : Dissertations, Academic
ISBN : STANFORD:36105132702585

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Dissertation Abstracts International by Anonim Pdf

Author : Anonim
Publisher : Unknown
Page : 876 pages
File Size : 48,9 Mb
Release : 2008
Category : Electronic journals
ISBN : UOM:39015072641353

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Journal of the American Statistical Association by Anonim Pdf

Author : Anonim
Publisher : Unknown
Page : 472 pages
File Size : 49,9 Mb
Release : 1998
Category : Mathematical statistics
ISBN : STANFORD:36105113052752

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Abstracts of Communications by Anonim Pdf

Author : Anonim
Publisher : Unknown
Page : 948 pages
File Size : 52,7 Mb
Release : 1999
Category : Mathematical statistics
ISBN : UOM:39015053598119

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Current Index to Statistics, Applications, Methods and Theory by Anonim Pdf

The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.

Author : Anonim
Publisher : Unknown
Page : 416 pages
File Size : 55,9 Mb
Release : 1998
Category : Biometry
ISBN : UCAL:B5031672

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Biometrics by Anonim Pdf

Author : Lang Wu
Publisher : CRC Press
Page : 431 pages
File Size : 42,7 Mb
Release : 2009-11-11
Category : Mathematics
ISBN : 1420074083

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Mixed Effects Models for Complex Data by Lang Wu Pdf

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, measurement errors, censoring, and outliers. Self-contained coverage of specific topics Subsequent chapters delve more deeply into missing data problems, covariate measurement errors, and censored responses in mixed effects models. Focusing on incomplete data, the book also covers survival and frailty models, joint models of survival and longitudinal data, robust methods for mixed effects models, marginal generalized estimating equation (GEE) models for longitudinal or clustered data, and Bayesian methods for mixed effects models. Background material In the appendix, the author provides background information, such as likelihood theory, the Gibbs sampler, rejection and importance sampling methods, numerical integration methods, optimization methods, bootstrap, and matrix algebra. Failure to properly address missing data, measurement errors, and other issues in statistical analyses can lead to severely biased or misleading results. This book explores the biases that arise when naïve methods are used and shows which approaches should be used to achieve accurate results in longitudinal data analysis.

Author : John R. Dixon
Publisher : Unknown
Page : 106 pages
File Size : 45,5 Mb
Release : 2003
Category : Electronic
ISBN : WISC:89079564324

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The Piggyback Bootstrap for Functional Inference in Semiparametric Models by John R. Dixon Pdf

Author : Kristin Elizabeth Porter
Publisher : Unknown
Page : 68 pages
File Size : 48,7 Mb
Release : 2008
Category : Electronic
ISBN : UCAL:C3504431

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Quantifying Confounding in Variable Importance Estimates by Kristin Elizabeth Porter Pdf

Author : William H. Greene,David A. Hensher
Publisher : Cambridge University Press
Page : 383 pages
File Size : 51,8 Mb
Release : 2010-04-08
Category : Business & Economics
ISBN : 9781139485951

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Modeling Ordered Choices by William H. Greene,David A. Hensher Pdf

It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards service levels, opinions on products, voting intentions, and the degree of clarity of contracts. Ordered choice models provide a relevant methodology for capturing the sources of influence that explain the choice made amongst a set of ordered alternatives. The methods have evolved to a level of sophistication that can allow for heterogeneity in the threshold parameters, in the explanatory variables (through random parameters), and in the decomposition of the residual variance. This book brings together contributions in ordered choice modeling from a number of disciplines, synthesizing developments over the last fifty years, and suggests useful extensions to account for the wide range of sources of influence on choice.

Author : Alfred Clebsch,Carl Neumann,Felix Klein,Adolph Mayer,David Hilbert,Otto Blumenthal,Albert Einstein,Constantin Carathéodory,Erich Hecke,Bartel Leendert Waerden,Heinrich Behnke
Publisher : Unknown
Page : 128 pages
File Size : 46,9 Mb
Release : 2003
Category : Mathematics
ISBN : CHI:11441366

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Mathematische Annalen by Alfred Clebsch,Carl Neumann,Felix Klein,Adolph Mayer,David Hilbert,Otto Blumenthal,Albert Einstein,Constantin Carathéodory,Erich Hecke,Bartel Leendert Waerden,Heinrich Behnke Pdf