Statistics by prescription 🔍
Irena Roterman- Konieczna Wydawnictwo Uniwersytetu Jagiellońskiego, First edition, Krakow, 2009
英语 [en] · PDF · 50.8MB · 2009 · 📗 未知类型的图书 · 🚀/upload · Save
描述
The manual presents the guide-like introduction to statistical techniques particulary oriented on medicine. The exercises present in the book make possible the self-education based on the international program SAS. I strongly support the distribution of this book among all medical libraries as well as all libraries of the natural science institutions
备用出版商
UNIWERSYTET JAGIELLOŃSKI, Wydawnictwo
备用出版商
Jagiellonian University Press
备用版本
Kraków, cop. 2009
备用版本
Poland, Poland
备用版本
1
元数据中的注释
producers:
pypdf
元数据中的注释
Bookmarks:
1. (p0) 封面
1.1. (p6) INTRODUCTION
1.2. (p8) STEP 1-Descriptive statistics-What we can learn about the patients?
1.2.1. (p27) STEP 1-exercise-Preliminary data analysis
1.3. (p32) STEP 2-We analyse the distribution of the measurable variable
1.3.1. (p51) STEP 2-exercise-Data analysis
1.4. (p63) STEP 3-The χ2(chi-square)test of the goodness of fit
1.4.1. (p75) STEP 3-exercise-Checking the type of distribution
1.5. (p95) STEP 4-T-test and F-test  How to estimate the differences between groups of patients?
1.5.1. (p112) STEP 4-exercise-F-test and T-test
1.6. (p120) STEP 5-ANOVA test How to compare more than two groups?
1.6.1. (p127) STEP 5-exercise-ANOVA test
1.7. (p143) STEP 6-Correlation and regression Are any variables mutually dependent?
1.7.1. (p157) STEP 6-exercise-Correlation and regression
1.8. (p165) STEP 7-The Pearson’s χ2(chi-square)test(The χ2 independence test) Is there any relation between qualitative variables?
1.8.1. (p171) STEP 7-exercise-χ2(chi-square)test of independence
1.9. (p182) STEP 8-Nonparametric tests(distribution-free tests) How about the data not representing the normal distribution?
1.9.1. (p192) STEP 8-exercise-Nonparametric tests(distribution free tests)
1.10. (p196) STEP 9-Comprehensive analysis
1.10.1. (p216) STEP 9-exercise-Comprehensive analysis
1.11. (p228) STEP 10-Survival analysis-Is it possible to make prognosis?
1.11.1. (p233) STEP 10-exercise-Survival analysis
1.12. (p239) Recapitulation
1.13. (p241) Afterword
1.14. (p242) Supplementary tables
1.15. (p246) Vocabulary
1.16. (p259) Index
备用描述
封面 1
INTRODUCTION 7
STEP 1-Descriptive statistics-What we can learn about the patients? 9
STEP 1-exercise-Preliminary data analysis 28
STEP 2-We analyse the distribution of the measurable variable 33
STEP 2-exercise-Data analysis 52
STEP 3-The χ2(chi-square)test of the goodness of fit 64
STEP 3-exercise-Checking the type of distribution 76
STEP 4-T-test and F-test How to estimate the differences between groups of patients? 96
STEP 4-exercise-F-test and T-test 113
STEP 5-ANOVA test How to compare more than two groups? 121
STEP 5-exercise-ANOVA test 128
STEP 6-Correlation and regression Are any variables mutually dependent? 144
STEP 6-exercise-Correlation and regression 158
STEP 7-The Pearson’s χ2(chi-square)test(The χ2 independence test) Is there any relation between qualitative variables? 166
STEP 7-exercise-χ2(chi-square)test of independence 172
STEP 8-Nonparametric tests(distribution-free tests) How about the data not representing the normal distribution? 183
STEP 8-exercise-Nonparametric tests(distribution free tests) 193
STEP 9-Comprehensive analysis 197
STEP 9-exercise-Comprehensive analysis 217
STEP 10-Survival analysis-Is it possible to make prognosis? 229
STEP 10-exercise-Survival analysis 234
Recapitulation 240
Afterword 242
Supplementary tables 243
Vocabulary 247
Index 260
开源日期
2024-12-23
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