Published January, 2026
By Peter Mesenbrink
Publisher: Productivity Press
Rating:
Availability: Available

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Published August, 2025
By Andy Peter Grieve
Publisher: Taylor & Francis (CRC Press Inc)
Rating:
Availability: Not available (reason unspecified)

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Published February, 2025
By Philip C. Nasca and Colleen C. McLaughlin
Publisher: World Scientific Publishing Co Pte Ltd
Rating:
Availability: Available

Presents a review of the epidemiology of childhood cancers. This book introduces readers to the descriptive epidemiology, clinical aspects, and biologic basis of childhood cancers. It provides an overview of the epidemiology of the various cancer types affecting children.

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Published January, 2025
By Miguel A. Hernan and James M. Robins
Publisher: Taylor & Francis (CRC Press)
Rating:
Availability: Not available (reason unspecified)

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 December, 2024
By Mark Wilson and Paulus de Boeck
Publisher: Taylor & Francis (CRC Press Inc)
Rating:
Availability: Available

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Published December, 2024
By Alison Cottell
Publisher: Taylor & Francis (CRC Press Inc)
Rating:
Availability: Available

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Published December, 2024
By Douglas Landsittel
Publisher: Elsevier (Apple Academic Press Inc.)
Rating: 2.00
Availability: Available

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Published August, 2024
By Fiona E. Matthews and Simon R. White
Publisher: Productivity Press
Rating:
Availability: Available

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Published June, 2024
By Kishore Chaudhry, Sharang Chaudhry and Prashanti Bollu
Publisher: Elsevier (Academic Press Inc)
Rating:
Availability: Available

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Published March, 2024
By Ming Tan, Hongbin Fang, Douglas Ross and M Tan
Publisher: John Wiley & Sons Ltd (John Wiley & Sons Inc)
Rating:
Availability: Available

Containing the historical and statistical information necessary to choose an analysis method and successful drug combination, Evaluating Synergy provides a systematic introduction of statistical methods for optimally designing and analyzing combination studies in cancer, anti-viral, and other therapeutic areas.

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