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Bayesian Mediation Analysis using R

Autor: Atanu Bhattacharjee

Número de Páginas: 204

Delve into the realm of statistical methodology for mediation analysis with a Bayesian perspective in high dimensional data through this comprehensive guide. Focused on various forms of time-to-event data methodologies, this book helps readers master the application of Bayesian mediation analysis using R. Across ten chapters, this book explores concepts of mediation analysis, survival analysis, accelerated failure time modeling, longitudinal data analysis, and competing risk modeling. Each chapter progressively unravels intricate topics, from the foundations of Bayesian approaches to advanced techniques like variable selection, bivariate survival models, and Dirichlet process priors. With practical examples and step-by-step guidance, this book empowers readers to navigate the intricate landscape of high-dimensional data analysis, fostering a deep understanding of its applications and significance in diverse fields.

Bayesian Nonparametric Data Analysis

Autor: Peter Müller , Fernando Andres Quintana , Alejandro Jara , Tim Hanson

Número de Páginas: 203

This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book’s structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones. The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages.

Survival Analysis with Interval-Censored Data

Autor: Kris Bogaerts , Arnost Komarek , Emmanuel Lesaffre

Número de Páginas: 537

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical introduction into the analysis of interval-censored survival times. Although many theoretical developments have appeared in the last fifty years, interval censoring is often ignored in practice. Many are unaware of the impact of inappropriately dealing with interval censoring. In addition, the necessary software is at times difficult to trace. This book fills in the gap between theory and practice. Features: -Provides an overview of frequentist as well as Bayesian methods. -Include a focus on practical aspects and applications. -Extensively illustrates the methods with examples using R, SAS, and BUGS. Full programs are available on a supplementary website. The authors: Kris Bogaerts is project manager at I-BioStat, KU Leuven. He received his PhD in science (statistics) at KU Leuven on the analysis of interval-censored data. He has gained expertise in a great variety of statistical topics with a focus on the design and analysis of clinical trials. Arnošt Komárek is associate professor of statistics at Charles University, Prague. His subject...

Bayesian Thinking in Biostatistics

Autor: Gary L Rosner , Purushottam W. Laud , Wesley O. Johnson

Número de Páginas: 622

Praise for Bayesian Thinking in Biostatistics: "This thoroughly modern Bayesian book ...is a 'must have' as a textbook or a reference volume. Rosner, Laud and Johnson make the case for Bayesian approaches by melding clear exposition on methodology with serious attention to a broad array of illuminating applications. These are activated by excellent coverage of computing methods and provision of code. Their content on model assessment, robustness, data-analytic approaches and predictive assessments...are essential to valid practice. The numerous exercises and professional advice make the book ideal as a text for an intermediate-level course..." -Thomas Louis, Johns Hopkins University "The book introduces all the important topics that one would usually cover in a beginning graduate level class on Bayesian biostatistics. The careful introduction of the Bayesian viewpoint and the mechanics of implementing Bayesian inference in the early chapters makes it a complete self- contained introduction to Bayesian inference for biomedical problems....Another great feature for using this book as a textbook is the inclusion of extensive problem sets, going well beyond construed and simple...

Handbook of Spatial Epidemiology

Autor: Andrew B. Lawson , Sudipto Banerjee , Robert P. Haining , Maria Dolores Ugarte

Número de Páginas: 704

Handbook of Spatial Epidemiology explains how to model epidemiological problems and improve inference about disease etiology from a geographical perspective. Top epidemiologists, geographers, and statisticians share interdisciplinary viewpoints on analyzing spatial data and space-time variations in disease incidences. These analyses can provide imp

Recueil des historiens de la France

Autor: Académie Des Inscriptions & Belles-lettres (france)

Número de Páginas: 738

Journal of Machine Learning Research

Número de Páginas: 1418

An international forum covering all areas of machine learning.

Metal Surface Modification and Coatings, Composites and Polymers

Autor: Peter Horňak , Kazuo Umemura

Número de Páginas: 113

Special topic volume with invited peer-reviewed papers only

Water Quality Modeling

Autor: American Society Of Agricultural Engineers

Número de Páginas: 602

Moody's Analyses of Investments and Security Rating Books

Autor: John Moody

Número de Páginas: 2134

Buffalo City Directory

Número de Páginas: 732

Historical papers are prefixed to several issues.

Bayesian Nonparametric Methods for Emulation, Sensitivity Analysis, and Calibration of Computer Simulators

Autor: Marian Farah

Número de Páginas: 296

The United States Patents Quarterly

Número de Páginas: 1218

Report of cases relating to patents, trade marks, copyrights decided by Supreme Court of the United States, United States Circuit courts of appeals, District courts of the United States, United States Court of Customs and Patent Appeals, Court of Claims of the United States, United States Court of Appeals for the District of Columbia, Commissioner of Patents and Patent Office Board of Appeals.

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