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Advanced medical statistics / Ying Lu, Ji-Qian Fang (editor)
Singapore : World Scientific, 2003
xv, 1101 pages. : illustrations ; 25 cm.
Ký hiệu phân loại (DDC): 610.727
The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis.Very broad topics in medical statistics are addressed. Not only is a rigorous theoretical background emphasized but motivation, applications, examples and computational aspects of the related statistical methods are given adequate weightage. The volume thus provides a convenient starting point for readers who want to be familiar with the most current status of an area of interest.
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An introduction to medical statistics / Martin Bland
Oxford : Oxford University Press, 2015
xviii, 427 pages. : illustrations ; 25 cm.
Ký hiệu phân loại (DDC): 610.21
This textbook is intended for everyone involved in the medical profession and all others concerned with medical data. The material covered includes all the statistical work that would be required for a course in medicine
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Applied medical statistics / Jingmei Jiang
Hoboken, NJ : John Wiley & Sons, Inc, 2022
xvii, 565 pages. : illustrations ; 24 cm.
Ký hiệu phân loại (DDC): 610.285
Over the past few decades, biomedical data have proliferated rapidly, and opportunities have arisen to use this data to improve human health. Burgeoning methods, such as machine learning techniques, have emerged to respond to the fast growth of the volume of data, and to exploit data in an effective and efficient manner. These methods were founded on statistical learning theory, which is an expansion of traditional statistics. Therefore, cultivating basic statistical thinking capability plays an important and fundamental role in mastering these state-of-the-art methods and embracing the upcoming big data era, which makes a course of introductory biostatistics an indispensable part of the curriculum for medical students. However, as a branch of mathematics, statistics is characterized by hierarchically organized concepts, but a conceptual understanding of statistics is not always intuitive, which makes biostatistics an obstacle that is regarded as a burden for most medical students
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Biostatistics : a foundation for analysis in the health sciences / Wayne W. Daniel, Chad Lee Cross
Hoboken, NJ : Wiley, 2013
956 tr. : illustrations ; 24 cm
Ký hiệu phân loại (DDC): 610.727
This 10th edition of Biostatistics: A Foundation for Analysis in the Health Sciences was prepared with the objective of appealing to a wide audience. Previous editions of the book have been used by the authors and their colleagues in a variety of contexts. For under-graduates, this edition should provide an introduction to statistical concepts for students inthe biosciences, health sciences, and for mathematics majors desiring exposure to applied statistical concepts. Like its predecessors, this edition is designed to meet the needs ofbeginning graduate students in various fields such as nursing, applied sciences, and public health who are seeking a strong foundation in quantitative methods. For professionals already working in the health field, this edition can serve as a useful desk reference.
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