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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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Holdings Information
| No. | Location | Call Number | Accession No. | Availability | Due Date | Make a Reservation | Service |
|---|---|---|---|---|---|---|---|
| No. 1 | Location Medical Library/Monographs(3F)/ | Call Number 610.727 G545p6 | Accession No. 131025147 (4회 대출) | Availability Available | Due Date | Make a Reservation | Service |
Contents information
Book Introduction
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)
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Table of Contents
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
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