Dòng Nội dung
1
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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2
Medical statistics : a textbook for the health sciences / Michael J. Campbell, Stephen John Walters, David Machin
Chichester, West Sussex : Wiley-Blackwell, 2021
xi, 433 pages. : illustrations ; 26 cm.
Ký hiệu phân loại (DDC): 610.727
The fifth edition of this popular textbook provides students and practitioners with a clear, concise introduction to the statistics they will come across in their regular reading of clinical papers. Written by three experts with wide teaching and consulting experience, Medical Statistics: A Textbook for the Health Sciences, 5th Edition: Assumes no prior knowledge of statistics. Covers all essential statistical methods. Completely revised, updated and expanded. Includes numerous examples and exercises on the interpretation of the statistics in papers published in medical journals. Includes a companion website with downloadable data, new separate chapters on topics such as logistic regression; diagnostic tests; assessing the quality of statistics/reading the statistics in a scientific paper and other statistical methods (such as meta-analysis; the bootstrap; imputation of missing data and summary measures for analysing longitudinal data) and additional sections on designs such as pilot/feasibility studies; cluster and stepped wedge randomised controlled trials
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Regression methods in biostatistics : linear, logistic, survival, and repeated measures models / Eric Vittinghoff...[et al]
New York : Springer, 2012
xx, 599 pages. : illustrations ; 25 cm.
Ký hiệu phân loại (DDC): 610.727
This new book provides a unified, in-depth, readable introduction to the multi-predictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistics models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes
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