| Record ID | marc_columbia/Columbia-extract-20221130-004.mrc:544585584:2752 |
| Source | marc_columbia |
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LEADER: 02752fam a2200397 a 4500
001 1929560
005 20200821171003.0
008 960617t19971997nyu b 001 0 eng c
010 $a 96026907
020 $a0070242682
035 $a(OCoLC)34990088
035 $a(OCoLC)ocm34990088
035 $9AMC5854CU
035 $a(NNC)1929560
035 $a1929560
040 $aDNLM/DLC$cDLC$dDLC$dNNC$dOrLoB-B
050 00 $aRA409$b.G55 1997
060 10 $aWA 950 G545p 1996
082 00 $a610/.72$220
100 1 $aGlantz, Stanton A.$0http://id.loc.gov/authorities/names/n79102263
245 10 $aPrimer of biostatistics /$cStanton A. Glantz.
250 $aFourth edition.
260 $aNew York :$bMcGraw-Hill, Health Professions Division,$c[1997], ©1997.
263 $a9711
300 $axvi, 473 pages :$billustrations ;$c21 cm
336 $atext$2rdacontent
337 $aunmediated$2rdamedia
338 $avolume$2rdacarrier
504 $aIncludes bibliographical references and index.
505 00 $g1.$tBiostatistics and Clinical Practice --$g2.$tHow to Summarize Data --$g3.$tHow to Test for Differences between Groups --$g4.$tThe Special Case of Two Groups: The t Test --$g5.$tHow to Analyze Rates and Proportions --$g6.$tWhat Does "Not Significant" Really Mean? --$g7.$tConfidence Intervals --$g8.$tHow to Test for Trends --$g9.$tExperiments When Each Subject Receives More than One Treatment --$g10.$tAlternatives to Analysis of Variance and the t Test Based on Ranks --$g11.$tHow to Analyze Survival Data --$g12.$tWhat Do the Data Really Show? --$gApp. A.$tComputational Forms --$gApp. B.$tPower Charts --$gApp. C.$tAnswers to Exercises.
520 $aDon't be afraid of biostatistics anymore! The new fourth edition of Primer of Biostatistics delivers this challenging topic in an easy-to-read, 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 knowledgeably.
520 8 $aYou'll start with a review of the basics, including analysis of variance and the t test, then advance to a review of multiple comparison testing and hypothesis testing and estimation of treatment effects. Examples from the literature illustrate key concepts throughout. The fourth edition features new information on survival curves, more discussions of multiple comparison procedures, including the Tukey test, techniques for comparing regression lines, and the Bland-Altman test.
650 0 $aMedical statistics.$0http://id.loc.gov/authorities/subjects/sh85083031
650 0 $aBiometry.$0http://id.loc.gov/authorities/subjects/sh85014244
650 12 $aBiometry.$0https://id.nlm.nih.gov/mesh/D001699
852 00 $bmat$hRA409$i.G55 1997