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Basic principles of applied medical ...

Twisk, Jos W. R.

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Basic principles of applied medical statistics = a practical guide /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Basic principles of applied medical statistics/ by Jos W. R. Twisk.
其他題名:	a practical guide /
作者:	Twisk, Jos W. R.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xii, 268 p. :ill. (some col.), digital ;24 cm.
內容註:	- 1. Introduction -- 2. Descriptive Statistics -- 3. Basic Principles of Explanatory Statistics -- 4. The Analysis of a Continuous Outcome Variable -- 5. The Analysis of a Dichotomous Outcome Variable -- 6. The Analysis of Survival Data -- 7. Multiple Regression Analysis - Association Models and Prediction Models -- 8. Machine Learning -- 9. Other Outcome Variables -- 10. Missing Data -- 11. Pitfalls in (Multiple) Regression Analysis -- 12. Miscellaneous -- 13. Overview -- 14. Example Datasets.
Contained By:	Springer Nature eBook
標題:	Medical statistics. -
電子資源:	https://doi.org/10.1007/978-3-031-86278-6
ISBN:	9783031862786

Basic principles of applied medical statistics = a practical guide /
Twisk, Jos W. R.

Basic principles of applied medical statisticsa practical guide /[electronic resource] :by Jos W. R. Twisk. - Cham :Springer Nature Switzerland :2025. - xii, 268 p. :ill. (some col.), digital ;24 cm.

- 1. Introduction -- 2. Descriptive Statistics -- 3. Basic Principles of Explanatory Statistics -- 4. The Analysis of a Continuous Outcome Variable -- 5. The Analysis of a Dichotomous Outcome Variable -- 6. The Analysis of Survival Data -- 7. Multiple Regression Analysis - Association Models and Prediction Models -- 8. Machine Learning -- 9. Other Outcome Variables -- 10. Missing Data -- 11. Pitfalls in (Multiple) Regression Analysis -- 12. Miscellaneous -- 13. Overview -- 14. Example Datasets.

This book describes the basic principles of medical statistics. Although there are many texts on this topic, this one is different in that it limits the mathematics to an absolute minimum. It will therefore be extremely useful for non-mathematical researchers who need to use statistical methods in their work. Here, they will learn how to choose the appropriate statistical method and how to interpret the results obtained from statistical software. An important feature of the book is that it highlights the common thread throughout the statistical methods. By understanding this common thread, the analyses become much easier to comprehend. Each chapter contains multiple examples, and because the example datasets are available, the readers can reanalyze them and practice how to perform a particular statistical analysis.

ISBN: 9783031862786

Standard No.: 10.1007/978-3-031-86278-6doiSubjects--Topical Terms:

533219
Medical statistics.

LC Class. No.: RA409

Dewey Class. No.: 610.21

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505 0 $a - 1. Introduction -- 2. Descriptive Statistics -- 3. Basic Principles of Explanatory Statistics -- 4. The Analysis of a Continuous Outcome Variable -- 5. The Analysis of a Dichotomous Outcome Variable -- 6. The Analysis of Survival Data -- 7. Multiple Regression Analysis - Association Models and Prediction Models -- 8. Machine Learning -- 9. Other Outcome Variables -- 10. Missing Data -- 11. Pitfalls in (Multiple) Regression Analysis -- 12. Miscellaneous -- 13. Overview -- 14. Example Datasets.
520 $a This book describes the basic principles of medical statistics. Although there are many texts on this topic, this one is different in that it limits the mathematics to an absolute minimum. It will therefore be extremely useful for non-mathematical researchers who need to use statistical methods in their work. Here, they will learn how to choose the appropriate statistical method and how to interpret the results obtained from statistical software. An important feature of the book is that it highlights the common thread throughout the statistical methods. By understanding this common thread, the analyses become much easier to comprehend. Each chapter contains multiple examples, and because the example datasets are available, the readers can reanalyze them and practice how to perform a particular statistical analysis.
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