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OCoLC |
| 005 |
20220616152732.0 |
| 008 |
150831s2016 nyua b 001 0 eng |
| 010 |
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|a 2015033598
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| 016 |
7 |
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|a 101667155
|2 DNLM
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| 020 |
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|a 9780071824118
|q hardcover ;
|q alkaline paper
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| 020 |
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|a 0071824111
|q hardcover ;
|q alkaline paper
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| 035 |
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|a (OCoLC)919860754
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| 040 |
|
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|a DNLM/DLC
|b eng
|e rda
|c DLC
|d YDX
|d NLM
|d YDXCP
|d CDX
|d OCLCF
|d VRC
|d UtOrBLW
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| 042 |
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|a pcc
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| 049 |
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|a EEMR
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| 050 |
0 |
4 |
|a QH323.5
|b .G56 2016
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| 060 |
1 |
0 |
|a WA 950
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| 082 |
0 |
0 |
|a 570.1/5195
|2 23
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| 100 |
1 |
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|a Glantz, Stanton A.,
|e author.
|0 http://id.loc.gov/authorities/names/n79102263
|
| 245 |
1 |
0 |
|a Primer of applied regression & analysis of variance /
|c Stanton A. Glantz, Bryan K. Slinker, Torsten B. Neilands.
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| 246 |
3 |
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|a Primer of applied regression and analysis of variance
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| 250 |
|
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|a Third edition.
|
| 264 |
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1 |
|a New York :
|b McGraw-Hill Education,
|c [2016]
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| 300 |
|
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|a xxvii, 1,183 pages :
|b illustrations ;
|c 25 cm
|
| 336 |
|
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|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a unmediated
|b n
|2 rdamedia
|
| 338 |
|
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|a volume
|b nc
|2 rdacarrier
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| 504 |
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|a Includes bibliographical references and index.
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| 505 |
0 |
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|a Why do multivariate analysis? -- The first step : understanding simple linear regression -- Regression with two or more independent variables -- Do the data fit the assumptions? -- Multicollinearity and what to do about it -- Selecting the "best" regression model -- Missing data -- One-way analysis of variance -- Two-way analysis of variance -- Repeated measures -- Mixing continuous and categorical variables : analysis of covariance -- Regression with a qualitative dependent variable : logistic regression -- Regression modeling of time-to-event data : survival analysis -- Nonlinear regression.
|
| 650 |
|
0 |
|a Biometry.
|0 http://id.loc.gov/authorities/subjects/sh85014244
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| 650 |
|
0 |
|a Regression analysis.
|0 http://id.loc.gov/authorities/subjects/sh85112392
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| 650 |
|
0 |
|a Analysis of variance.
|0 http://id.loc.gov/authorities/subjects/sh85004782
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| 650 |
1 |
2 |
|a Biometry
|x methods.
|
| 650 |
2 |
2 |
|a Regression Analysis.
|
| 650 |
2 |
2 |
|a Analysis of Variance.
|
| 650 |
2 |
2 |
|a Data Interpretation, Statistical.
|
| 650 |
|
7 |
|a Analysis of variance.
|2 fast
|0 (OCoLC)fst00808330
|
| 650 |
|
7 |
|a Biometry.
|2 fast
|0 (OCoLC)fst00832611
|
| 650 |
|
7 |
|a Regression analysis.
|2 fast
|0 (OCoLC)fst01432090
|
| 700 |
1 |
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|a Slinker, Bryan K.,
|e author.
|0 http://id.loc.gov/authorities/names/n88095947
|
| 700 |
1 |
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|a Neilands, Torsten B.,
|e author.
|0 http://id.loc.gov/authorities/names/n2015187788
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| 907 |
|
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|y .b120816659
|b 170112
|c 161118
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| 998 |
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|a mn
|b 161220
|c m
|d a
|e -
|f eng
|g nyu
|h 0
|i 2
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| 994 |
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|a 92
|b EEM
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| 999 |
f |
f |
|i 65ae7d57-e968-52a4-864b-862e1376f74d
|s 1dffcbf7-9c88-5f83-81ba-a7b76a946ca4
|t 0
|
| 952 |
f |
f |
|p Can Circulate
|a Michigan State University-Library of Michigan
|b Michigan State University
|c MSU Main Library
|d MSU Main Library
|t 0
|e QH323.5 .G56 2016
|h Library of Congress classification
|i Printed Material
|m 31293035323710
|n 1
|
