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- catalog abstract ""The new fifth edition of Primer of Biostatistics introduces this challenging topic in a readable and enjoyable format that assumes no prior knowledge of the subject. In no time, you'll understand test selection and be able to evaluate biomedical statistics critically and knowledgably"--Back cover.".
- catalog contributor b12336392.
- catalog created "c2002.".
- catalog date "2002".
- catalog date "c2002.".
- catalog dateCopyrighted "c2002.".
- catalog description ""The new fifth edition of Primer of Biostatistics introduces this challenging topic in a readable and enjoyable format that assumes no prior knowledge of the subject. In no time, you'll understand test selection and be able to evaluate biomedical statistics critically and knowledgably"--Back cover.".
- catalog description "Ch. 1. Biostatistics and clinical practice -- Ch. 2. How to summarize data -- Ch. 3. How to test for differences between groups -- Ch. 4. The special case of two groups: the t test -- Ch. 5. How to analyze rates and proportions -- Ch. 6. What does "not significant" really mean? -- Ch. 7. Confidence intervals -- Ch. 8. How to test for trends -- Ch. 9. Experiments when each subject receives more than one treatment -- Ch. 10. Alternatives to analysis of variance and the t test based on ranks -- Ch. 11. How to analyze survival data -- Ch. 12. What do the data really show?".
- catalog description "Includes bibliographical references and index.".
- catalog extent "xviii, 489 p. :".
- catalog identifier "0071379460".
- catalog issued "2002".
- catalog issued "c2002.".
- catalog language "eng".
- catalog publisher "New York : McGraw-Hill, Medical Pub. Div.,".
- catalog subject "Biometry.".
- catalog subject "Medical statistics.".
- catalog subject "RA409 .G55 2002".
- catalog subject "WA 950 G545p 2001".
- catalog tableOfContents "Ch. 1. Biostatistics and clinical practice -- Ch. 2. How to summarize data -- Ch. 3. How to test for differences between groups -- Ch. 4. The special case of two groups: the t test -- Ch. 5. How to analyze rates and proportions -- Ch. 6. What does "not significant" really mean? -- Ch. 7. Confidence intervals -- Ch. 8. How to test for trends -- Ch. 9. Experiments when each subject receives more than one treatment -- Ch. 10. Alternatives to analysis of variance and the t test based on ranks -- Ch. 11. How to analyze survival data -- Ch. 12. What do the data really show?".
- catalog title "Primer of biostatistics / Stanton A. Glantz.".
- catalog type "text".