LEADER 02872nam  22004935  450 
001 9910999792303321
005 20250429130217.0
010   $a3-031-86278-3
024 7 $a10.1007/978-3-031-86278-6
035   $a(CKB)38641684000041
035   $a(DE-He213)978-3-031-86278-6
035   $a(MiAaPQ)EBC32062812
035   $a(Au-PeEL)EBL32062812
035   $a(EXLCZ)9938641684000041
100   $a20250429d2025      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aBasic Principles of Applied Medical Statistics $eA Practical Guide /$fby Jos W. R. Twisk
205   $a1st ed. 2025.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025.
215   $a1 online resource (XII, 268 p. 59 illus., 34 illus. in color.) 
311 08$a3-031-86277-5 
327   $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.
330   $aThis 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.
606   $aBiometry
606   $aSampling (Statistics)
606   $aBiostatistics
606   $aMethodology of Data Collection and Processing
615  0$aBiometry.
615  0$aSampling (Statistics)
615 14$aBiostatistics.
615 24$aMethodology of Data Collection and Processing.
676   $a570.15195
700   $aTwisk$b Jos W. R$4aut$4http://id.loc.gov/vocabulary/relators/aut$01733301
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910999792303321
996   $aBasic Principles of Applied Medical Statistics$94375543
997   $aUNINA