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Primer of biostatistics 6th ed

Primer of biostatistics 6th ed (4회 대출)

자료유형
단행본
개인저자
Glantz, Stanton A.
서명 / 저자사항
Primer of biostatistics / Stanton A. Glantz.
판사항
6th ed.
발행사항
New York :   McGraw-Hill Medical Pub.,   c2005.  
형태사항
xx, 520 p. : ill. ; 21 cm.+ 1 CD-ROM (4 3/4 in.).
ISBN
0071435093 (alk. paper) 0071447814 (set : alk. paper) 007143822X (CD-ROM)
서지주기
Includes bibliographical references and index.
일반주제명
Medical statistics. Biometry. Biometry. Statistique maedicale. Biomaetrie. Statistiek. Statistische analyse. Statistische toetsen.
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100 1 ▼a Glantz, Stanton A.
245 1 0 ▼a Primer of biostatistics / ▼c Stanton A. Glantz.
250 ▼a 6th ed.
260 ▼a New York : ▼b McGraw-Hill Medical Pub., ▼c c2005.
300 ▼a xx, 520 p. : ▼b ill. ; ▼c 21 cm.+ ▼e 1 CD-ROM (4 3/4 in.).
504 ▼a Includes bibliographical references and index.
650 0 ▼a Medical statistics.
650 0 ▼a Biometry.
650 1 2 ▼a Biometry.
650 6 ▼a Statistique maedicale.
650 6 ▼a Biomaetrie.
650 1 7 ▼a Statistiek. ▼2 gtt
650 1 7 ▼a Statistische analyse. ▼2 gtt
650 1 7 ▼a Statistische toetsen. ▼2 gtt
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소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 의학도서관/자료실(3층)/ 청구기호 610.727 G545p6 등록번호 131025147 (4회 대출) 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

책소개

Since its original publication in 1981, Glantz' (medicine, U. of California-San Francisco) work has been used as a textbook in a variety of courses at different levels. He says, however, that it is oriented as much to individual readers as to class work. In the sixth edition, he has expanded the discussion of qualitative issues rather than added more statistical tests, has updated examples again, and has added color to the illustrations. Annotation ⓒ2005 Book News, Inc., Portland, OR (booknews.com)


정보제공 : Aladin

목차

Summary of Some Statistical Methods to Test Hypotheses Location of Tables for Tests of Significance 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 an 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? Index


정보제공 : Aladin

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