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
Essential medical statistics / Betty R. Kirkwood, Jonathan A. C. Sterne
Malden, Mass : Blackwell Science, 2003
x, 501 pages. : illustrations ; 25 cm.
Ký hiệu phân loại (DDC): 610.7
This is a technical book on a technical subject but presented in a delightful way. There are many books on statistics for doctors but there are few that are excellent and this is certainly one of them. Statistics is not an easy subject to teach or write about. The authors have succeeded in producing a book that is as good as it can get. For the keen student who does not want a book for mathematicians, this is an excellent first book on medical statistics.
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Medical statistics : a guide to SPSS, data analysis, and critical appraisal / Belinda Barton, Jennifer K. Peat
Chichester, West Sussex : Wiley Blackwell, 2014
xv, 392 pages. : illustrations ; 25 cm.
Ký hiệu phân loại (DDC): 610.285
Medical Statistics provides the necessary statistical tools to enable researchers to undertake and understand evidence-based clinical research. It is a practical guide to conducting statistical research and interpreting statistics in the context of how the participants were recruited, how the study was designed, what types of variables were used, what effect size was found, and what the P values mean. It guides researchers through the process of selecting the correct statistics and show how to best report results for presentation and publication. Clear and concise explanations, combined wit
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4
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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