Published June, 2019
By Roel Popping
Publisher: Springer (Springer Nature Switzerland AG)
Rating:
Availability: Available

This introductory book enables researchers and students of all backgrounds to compute interrater agreements for nominal data.

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Published June, 2019
By Michael Y. Li
Publisher: Springer (Springer International Publishing AG)
Rating:
Availability: Available

This text provides essential modeling skills and methodology for the study of infectious diseases through a one-semester modeling course or directed individual studies.

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Published May, 2019
By Sandro Galea
Publisher: Oxford University Press (Oxford University Press Inc)
Rating:
Availability: Available

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Published May, 2019
By Sandro Galea, David Vlahov and Catherine K. Ettman
Publisher: Oxford University Press (Oxford University Press Inc)
Rating:
Availability: Available

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Published May, 2019
By Jonathan Sterne, Betty R. Kirkwood and Jonathan A. C. Sterne
Publisher: John Wiley & Sons Ltd (Wiley-Blackwell (an imprint of John Wiley & Sons Ltd))
Rating:
Availability: Available

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Published May, 2019
By Susan Halabi and Stefan Michiels
Publisher: Taylor & Francis (CRC Press)
Rating:
Availability: Available

This is a textbook on the design and analysis of cancer clinical trials. It opens with a discussion of the choice of endpoints before moving onto discuss various types of trials across all phases of study, including basket trials, non-inferiority trials and multi-arm trials.

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Published May, 2019
By Ross L. Prentice and Shanshan Zhao
Publisher: Elsevier (Apple Academic Press Inc.)
Rating:
Availability: Available

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Published May, 2019
By Ju Han Kim
Publisher: Springer (Springer Verlag, Singapore)
Rating:
Availability: Available

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Published May, 2019
By Jeffrey S. Markowitz
Publisher: Springer (Springer Nature Switzerland AG)
Rating:
Availability: Available

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Published April, 2019
By Jos W. R. Twisk
Publisher: Cambridge University Press
Rating:
Availability: Available

This book explains all aspects of mixed model analysis without mathematical jargon, so that non-statisticians can understand the basic principles, analyze their own data, and interpret the results with confidence. Worked examples are analyzed with STATA, and all datasets are available for download, equipping readers to replicate the methods.

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