£166.99

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Chapman and Hall/CRC Longitudinal Analysis Real World Health Care Data - R Guide

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Description

Master longitudinal analysis techniques for healthcare big data using R with this comprehensive guide from Chapman and Hall/CRC. This book equips data analysts, biostatisticians, and health researchers with practical methods for analysing time-to-event data in real-world healthcare settings. Learn how to handle complex temporal datasets, apply advanced statistical approaches, and extract meaningful insights from large-scale health information. The R-focused methodology makes implementation straightforward, whether you are managing patient outcome tracking, survival analysis, or longitudinal cohort studies. Ideal for professionals seeking to bridge theoretical econometric principles with applied healthcare analytics.

Key Features

Published by Chapman and Hall/CRC, a trusted publisher of advanced statistical and technical texts for data science professionals.

Focuses on real-world healthcare time-to-event data analysis using R programming, enabling practical implementation of longitudinal methods.

Covers big data approaches essential for handling large-scale patient datasets and complex temporal relationships in modern healthcare settings.

Combines longitudinal analysis theory with econometric techniques, providing comprehensive coverage of both statistical foundations and applied methodology.

Ideal reference for biostatisticians, health data analysts, and researchers developing predictive models and survival analysis workflows.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
26 June 2026
Listed Since
25 November 2025

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