Published April, 2023
By David Collett
Publisher: Taylor & Francis
Rating: 1.00
Availability: Available

Fourth edition has new chapters on Bayesian survival analysis and use of the R software. Chapters extensively revised, expanded to add new material on topics that include methods for assessing predictive ability of a model, joint models for longitudinal and survival data, modern methods for the analysis of interval-censored survival data.

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Published April, 2023
By Miguel A. Hernan and James M. Robins
Publisher: Taylor & Francis (CRC Press Inc)
Rating: 1.00
Availability: Available

Written by pioneers in the field, this practical book presents an authoritative yet accessible overview of the methods and applications of causal inference. The text provides a thorough introduction to the basics of the theory for non-time-varying treatments and the generalization to complex longitudinal data.

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Published April, 2023
By Timothy L. Lash, Matthew P. Fox and Richard F. MacLehose
Publisher: Springer (Springer Nature Switzerland AG)
Rating: 1.00
Availability: Available

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Published April, 2023
By Daniel W. Byrne
Publisher: Lippincott Williams & Wilkins (Wolters Kluwer Health)
Rating: 1.00
Availability: Available

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Published April, 2023
By Jay J. H. Park, Edward J. Mills and J. Kyle Wathen
Publisher: Cambridge University Press
Rating: 1.00
Availability: Available

The first introductory guide to the fast-paced and emerging field of research, equipping readers with the knowledge to critically interpret and plan adaptive clinical trials and master protocols. An invaluable text for medical students and researchers, featuring a history of clinical trial research, case studies and a practical guide.

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Published April, 2023
By Krishna Gopal Narayan, Dharmendra Kumar Sinha and Dhirendra Kumar Singh
Publisher: Springer (Springer Verlag, Singapore)
Rating: 1.00
Availability: Available

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Published March, 2023
By Sitendra Tamrakar, Shruti Bhargava Choubey and Abhishek Choubey
Publisher: Taylor & Francis
Rating: 1.00
Availability: Available

This book explains different aspects of the current research on computational intelligence technologies applied in the field of medical diagnosis. It discusses critical issues related to the medical diagnosis like uncertainties in the medical domain, problems in the medical data especially dealing with time-stamped data.

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Published March, 2023
By Karl E. Peace, Jeffrey Wilson and Ding-Geng Chen
Publisher: Taylor & Francis
Rating: 1.00
Availability: Available

This book is aimed to compile typical fundamental to advanced statistical methods to be used for health data sciences. This book promotes the applications to health and health-related data. The data and computing programs will be available to facilitate readers' learning experience.

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Published March, 2023
By David Sanders, Wim De Ceukelaire and Barbara Hutton
Publisher: Oxford University Press
Rating: 1.00
Availability: Available

The first edition of The Struggle for Health was published in 1985 and was widely acclaimed by those seeking a broader and deeper political understanding of ill health, beyond the medical model of care. It was a revolutionary book, that has now been updated and includes health problems that have emerged since the 1980s.

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Published March, 2023
By Liz Hoffman
Publisher: Taylor & Francis (Hodder & Stoughton)
Rating: 1.00
Availability: Available

An expose of the billionaires who built the US economy on sand, and the virus that saw it crumble

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