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Springer Regression Methods in Biostatistics Textbook

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Description

Master essential statistical techniques with this comprehensive guide to regression methods in biostatistics. Published by Springer, this book provides a unified approach to the multipredictor regression methods used most frequently in biology and health sciences. It covers a wide range of critical models, including linear models for continuous outcomes and logistic models for binary data. Readers will gain a deep understanding of the Cox model for right-censored survival times, as well as repeated-measures models designed for longitudinal and hierarchical outcomes. The text also explores generalized linear models for counts and other specific outcomes. By treating these topics together, the book helps you recognize the shared elements involved in selecting, estimating, checking, and interpreting statistical models. This resource is designed to be a readable and in-depth introduction, making complex statistical concepts accessible for students and professionals in public health and medical sciences. Whether you are working with continuous, binary, or survival data, this text offers the foundational knowledge needed for accurate biostatistical analysis.

Key Features

Covers essential multipredictor regression methods used widely in biostatistics and health sciences.

Includes detailed instruction on linear and logistic models for continuous and binary outcomes.

Provides specialized guidance on the Cox model for analyzing right-censored survival times.

Explains repeated-measures models for managing longitudinal and hierarchical data sets.

Features generalized linear models for analyzing counts and various other outcome types.

Uses a unified approach to show shared elements in selecting, estimating, and interpreting models.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 September 2011
Listed Since
16 September 2011

Barcode

No barcode data available

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