| 书目名称 | Regression Analysis in Medical Research | | 副标题 | for Starters and 2nd | | 编辑 | Ton J. Cleophas,Aeilko H. Zwinderman | | 视频video | | | 概述 | covers major fields of regression analysis.step-by-step analyses for self-assessment.using applications in medical and health research | | 图书封面 |  | | 描述 | .This edition is a pretty complete textbook and tutorial for medical and health care students, as well as a recollection/update bench, and help desk for professionals. Novel approaches already applied in published clinical research will be addressed: matrix analyses, alpha spending, gate keeping, kriging, interval censored regressions, causality regressions, canonical regressions, quasi-likelihood regressions, novel non-parametric regressions. Each chapter can be studied as a stand-alone, and covers one field in the fast growing world of regression analyses. .The authors, as professors in statistics and machine learning at European universities, are worried, that their students find regression-analyses harder than any other methodology in statistics. This is serious, because almost all of the novel methodologies in current data mining and data analysis include elements of regression-analysis. It is the main incentive for writingthis 28 chapter edition, consistent of. - 28 major fields of regression analysis,. - their condensed maths,. - their applications in medical and health research as published so far,. - step by s | | 出版日期 | Textbook 20181st edition | | 关键词 | regression analysis; non-mathematicians; dependent data; non-parametric statistics; nonlinear regression | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-71937-5 | | isbn_softcover | 978-3-319-89123-1 | | isbn_ebook | 978-3-319-71937-5 | | copyright | Springer International Publishing AG 2018 |
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发表于 2025-3-21 18:04:54
