Longitudinal Analysis of Real World Time-to-event Data in Health Care (Hardcover)

Idioma: inglés

Editorial: Taylor & Francis Ltd, 2026

1032847476 / 9781032847474

Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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Descripción del artículo del vendedor

Hardcover. This book presents a practical approach for researchers seeking to analyse patient data over time. It serves as a comprehensive guide, utilising the R programming language to analyse complex datasets efficiently. It provides step-by-step instructions and examples, aiding in data organisation and insightful analysis to accurately predict event occurrences and the impact of different variables on patient outcomes, enhancing decision-making in medical practice.With practical examples and case studies, it helps to learn how to apply analysis techniques to real-world healthcare datasets, gaining insights into complex data for informed decision-makingOffers comprehensive coverage of relevant techniques and methodologies, including essential topics such as Big Data characteristics, Real-World Evidence significance, real-world data sources, longitudinal and survival data analysis, prediction models, and Bayesian analysisR code examples enable readers to follow along and replicate analyses on their own datasets, reinforcing understanding and practical skills in data analysisComplex statistical concepts are explained clearly, and theory and practical implementation are balanced to ensure an understanding of both concepts and techniquesExplained how Big Data transforms healthcare and research, touching on precision medicine, population health management, and complementing clinical trials with RWEIt covers data preprocessing, integration, and advanced modelling techniques to serve as a valuable resource for professionals and researchers seeking evidence-based decision-making in healthcare and related fields. This book presents a practical approach for researchers seeking to analyse patient data over time, serving as a comprehensive guide utilising the R programming language to analyse complex datasets efficiently. It is a valuable resource for professionals and researchers seeking evidence-based decision-making in healthcare and related fields. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

N° de ref. del artículo 9781032847474

Título
Longitudinal Analysis of Real World Time-to-event Data in Health Care (Hardcover)
Autor
Atanu Bhattacharjee
Editorial
Taylor & Francis Ltd
Año de publicación
2026
Estado
new
Encuadernación
Hardcover
Idioma
inglés
ISBN 10
1032847476
ISBN 13
9781032847474

AussieBookSeller

Truganina, VIC, Australia

Vendedor de 5 estrellas

Vendedor de AbeBooks desde 22 de junio de 2007

Tarifas de envío de Australia a Estados Unidos de America

ArtículoDe 25 a 45 días hábilesDe 8 a 14 días hábiles
Primer artículoEUR 31,82EUR 37,84
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The Nile Group Pty Ltd

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Truganina, VIC Australia 3029