| Record ID | marc_ithaca_college/ic_marc.mrc:188242051:1340 |
| Source | Ithaca College Library |
| Download Link | /show-records/marc_ithaca_college/ic_marc.mrc:188242051:1340?format=raw |
LEADER: 01340cam a22002774a 45e0
001 286856
005 20021212142049.0
008 020523s2002 nyua b 001 0 eng c
010 $a 2001034232
035 $a46970663
040 $aDNLM/DLC$cDLC$dNLM$dCUY$dVAM$dXIM
016 7 $a101095803$2DNLM
020 $a0071379460
042 $apcc
050 00 $aRA409$b.G55 2002
049 $aXIMM
100 1 $aGlantz, Stanton A.
245 10 $aPrimer of biostatistics /$cStanton A. Glantz.
250 $a5th ed.
260 $aNew York :$bMcGraw-Hill, Medical Pub. Div.,$c2002.
300 $axviii, 489 p. :$bill. ;$c20 cm.
504 $aIncludes bibliographical references and index.
505 0 $aCh. 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?
650 0 $aMedical statistics.
650 0 $aBiometry.
994 $aE0$bXIM