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| Primer of Biostatistics, 7th Edition |
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※해외주문 도서 안내 :
- 해외 및 국내 입고 사항에 따라 2~8주 이상 소요될 수 있으며. 취소 및 반품이 불가능합니다.
- 해외주문도서는 해외 출판사 사정에 의해 품절/지연될수 있습니다. |
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※교환 및 반품안내 :
- 교환이나 반품시 상품 수령후 3일이내 교환이나 반품 의사를 알려주시고 일주일이내에 저희쪽으로 상품이 입고되어야합니다.
시일이 경과되면 반품이 불가합니다.
- 변심에 의한 교환이나 반품시, 배송비는 고객님께서 부담하시며, 오배송이나 상품 불량시에는 무료 교환이 가능합니다.
- 반품시에는 반품상품 검수후 카드 취소를 해드리거나 통장,적립금등으로 환불 조치 해 드립니다. |
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※배송안내 :
- 제주도및 도서산간지역은 택배비가 추가될수 있습니다. |
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A concise, engagingly written introduction to understanding statistics as they apply to medicine and the life sciences
CD-ROM performs 30 statistical tests
Don't be afraid of biostatistics anymore! Primer of Biostatistics,7th Edition demystifies this challenging topic in an interesting and enjoyable manner that assumes no prior knowledge of the subject. Faster than you thought possible, you'll understand test selection and be able to evaluate biomedical statistics critically, knowledgeably, and confidently.
With Primer of Biostatistics, you’ll start with the basics, including analysis of variance and the t test, then advance to multiple comparison testing, contingency tables, regression, and more. Illustrative examples and challenging problems, culled from the recent biomedical literature, highlight the discussions throughout and help to foster a more intuitive approach to biostatistics.
The companion CD-ROM contains everything you need to run thirty statistical tests of your own data. Review questions and summaries in each chapter facilitate the learning process and help you gauge your comprehension. By combining whimsical studies of Martians and other planetary residents with actual papers from the biomedical literature, the author makes the subject fun and engaging.
Coverage includes:
How to summarize data
How to test for differences between groups
The t test
How to analyze rates and proportions
What does “not significant” really mean?
Confidence intervals
How to test for trends
Experiments when each subject receives more than one treatment
Alternatives to analysis of variance and the t test based on ranks
How to analyze survival data
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Preface
1. Biostatistics and Clinical Practice
2. How to Summarize Data
3. How to Test for Differences between Groups
4. The Special Case of Two Groups: The t test
5. How to Analyze Rates and Proportions
6. What Does "Not Significant" Really Mean?
7. Confidence Intervals
8. How to Test for Trends
9. Experiments When Each Subject Receives More Than One Treatment
10. Alternatives to Analysis of Variance and the t test Based on Ranks
11. How to Analyze Survival Data
12. What Do the Data Really Show?
Appendix A: Computational Forms
Appendix B: Statistical Tables and Power Charts
Appendix C: Answers to Exercises
Index |
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등록된 서평이 없습니다. |
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과별도서목록
