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Statistical Methods in Health Disparity Research (Hardcover) Loot Price: R3,003
Discovery Miles 30 030
Statistical Methods in Health Disparity Research (Hardcover): J. Sunil Rao

Statistical Methods in Health Disparity Research (Hardcover)

J. Sunil Rao

Series: Chapman & Hall/CRC Biostatistics Series

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Loot Price R3,003 Discovery Miles 30 030 | Repayment Terms: R281 pm x 12*

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A "health disparity" refers to a higher burden of illness, injury, disability, or mortality experienced by one group relative to another. These disparities may be due to many factors including age, income, race, etc. This book will focus on their estimation, ranging from classical approaches including the quantification of a disparity, to more formal modelling, to modern approaches involving more flexible computational approaches. Features: * Presents an overview of methods and applications of health disparity estimation * First book to synthesize research in this field in a unified statistical framework * Covers classical approaches, and builds to more modern computational techniques * Includes many worked examples and case studies using real data * Discusses available software for estimation The book is designed primarily for researchers and graduate students in biostatistics, data science, and computer science. It will also be useful to many quantitative modelers in genetics, biology, sociology, and epidemiology.

General

Imprint: Crc Press
Country of origin: United Kingdom
Series: Chapman & Hall/CRC Biostatistics Series
Release date: June 2023
First published: 2023
Authors: J. Sunil Rao
Dimensions: 234 x 156mm (L x W)
Format: Hardcover
Pages: 302
ISBN-13: 978-0-367-63512-1
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Biology, life sciences > General
Books > Social sciences > Sociology, social studies > Population & demography > General
Books > Social sciences > Sociology, social studies > Social issues > General
Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
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LSN: 0-367-63512-7
Barcode: 9780367635121

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