Artículos relacionados a Bayesian Approaches in Oncology Using R and OpenBUGS

Bayesian Approaches in Oncology Using R and OpenBUGS - Tapa dura

Bhattacharjee, Atanu

 
9780367350505: Bayesian Approaches in Oncology Using R and OpenBUGS
Tapa dura
ISBN 10: 0367350505 ISBN 13: 9780367350505
Editorial: Chapman and Hall/CRC, 2020

Sinopsis

Bayesian Approaches in Oncology Using R and OpenBUGS serves two audiences: those who are familiar with the theory and applications of bayesian approach and wish to learn or enhance their skills in R and OpenBUGS, and those who are enrolled in R and OpenBUGS-based course for bayesian approach implementation. For those who have never used R/OpenBUGS, the book begins with a self-contained introduction to R that lays the foundation for later chapters.

Many books on the bayesian approach and the statistical analysis are advanced, and many are theoretical. While most of them do cover the objective, the fact remains that data analysis can not be performed without actually doing it, and this means using dedicated statistical software. There are several software packages, all with their specific objective. Finally, all packages are free to use, are versatile with problem-solving, and are interactive with R and OpenBUGS.

This book continues to cover a range of techniques related to oncology that grow in statistical analysis. It intended to make a single source of information on Bayesian statistical methodology for oncology research to cover several dimensions of statistical analysis. The book explains data analysis using real examples and includes all the R and OpenBUGS codes necessary to reproduce the analyses. The idea is to overall extending the Bayesian approach in oncology practice. It presents four sections to the statistical application framework:

  • Bayesian in Clinical Research and Sample Size Calcuation
  • Bayesian in Time-to-Event Data Analysis
  • Bayesian in Longitudinal Data Analysis
  • Bayesian in Diagnostics Test Statistics

This book is intended as a first course in bayesian biostatistics for oncology students. An oncologist can find useful guidance for implementing bayesian in research work. It serves as a practical guide and an excellent resource for learning the theory and practice of bayesian methods for the applied statistician, biostatistician, and data scientist.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Atanu Bhattacharjee is an Assistant Professor at the Section of Biostatistics, Centre for Cancer Epidemiology, Tata Memorial Centre, India. He previously taught Biostatistics at the Malabar Cancer Centre, Kerala, India. He completed his PhD at Gauhati University, Assam, on Bayesian Statistical Inference. He is an elected member of the International Biometric Society (Indian Region). He served as Associate Editor of BMC Research Methodology. He has published over 200 research articles in various peer-reviewed journals.

De la contraportada

The book focuses on building concepts and procedure to perform Bayesian in Oncology setup. It presents the roles of Bayesian in Oncology to clinical medicine in the context of substantive and current applications. This book will help readers interested in exploring, understanding, and solving oncology research queries through Bayesian.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Chapman and Hall/CRC
Año de publicación
2020
Idioma
Inglés
ISBN 10 
0367350505
ISBN 13 
9780367350505
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
250
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania