Name: Bayesian Methods in Epidemiology (en Inglés)
Price: 140150.00 CLP
Availability: InStock
Author: Broemeling, Lyle D.
ISBN: 9781466564978

portada Bayesian Methods in Epidemiology (en Inglés)

Formato

Libro Físico

Autor

Lyle D. Broemeling

Editorial

CRC Press

Idioma

Inglés

N° páginas

464

Encuadernación

Tapa Dura

Dimensiones

23.6 x 15.5 x 2.5 cm

Peso

0.78 kg.

ISBN13

9781466564978

Categorías

Investigación médica
Epidemiología y estadística médica
Probabilidad y estadística

Bayesian Methods in Epidemiology (en Inglés)

Lyle D. Broemeling (Autor) · CRC Press · Tapa Dura

Libro Físico

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Reseña del libro "Bayesian Methods in Epidemiology (en Inglés)"

Written by a biostatistics expert with over 20 years of experience in the field, Bayesian Methods in Epidemiology presents statistical methods used in epidemiology from a Bayesian viewpoint. It employs the software package WinBUGS to carry out the analyses and offers the code in the text and for download online.The book examines study designs that investigate the association between exposure to risk factors and the occurrence of disease. It covers introductory adjustment techniques to compare mortality between states and regression methods to study the association between various risk factors and disease, including logistic regression, simple and multiple linear regression, categorical/ordinal regression, and nonlinear models. The text also introduces a Bayesian approach for the estimation of survival by life tables and illustrates other approaches to estimate survival, including a parametric model based on the Weibull distribution and the Cox proportional hazards (nonparametric) model. Using Bayesian methods to estimate the lead time of the modality, the author explains how to screen for a disease among individuals that do not exhibit any symptoms of the disease. With many examples and end-of-chapter exercises, this book is the first to introduce epidemiology from a Bayesian perspective. It shows epidemiologists how these Bayesian models and techniques are useful in studying the association between disease and exposure to risk factors.