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20060808165100.0 |
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050617s2005 nyua 000 0 eng |
| 015 |
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|a GBA567734
|2 bnb
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7 |
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|a 013270345
|2 Uk
|
| 020 |
|
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|a 0387251448 (hbk.)
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3 |
|
|a 9780387251448
|
| 040 |
|
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|a UKM
|b eng
|c UKM
|d BAKER
|d TEF
|d IXA
|d CtY
|d UtOrBLW
|d OrLoB-B
|
| 042 |
|
|
|a ukblsr
|
| 050 |
|
4 |
|a QA278
|b .M65 2005
|
| 090 |
|
|
|a QA278
|b .M65 2005
|
| 100 |
1 |
|
|a Molenberghs, Geert.
|1 http://viaf.org/viaf/64297895
|0 http://id.loc.gov/authorities/names/n97047317
|
| 245 |
1 |
0 |
|a Models for discrete longitudinal data /
|c Geert Molenberghs, Geert Verbeke.
|
| 260 |
|
|
|a New York ;
|a London :
|b Springer,
|c 2005.
|
| 300 |
|
|
|a xxii, 683 p. :
|b ill.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|0 http://id.loc.gov/vocabulary/contentTypes/txt
|
| 337 |
|
|
|a unmediated
|b n
|2 rdamedia
|0 http://id.loc.gov/vocabulary/mediaTypes/n
|
| 338 |
|
|
|a volume
|b nc
|2 rdacarrier
|0 http://id.loc.gov/vocabulary/carriers/nc
|
| 440 |
|
0 |
|a Springer series in statistics
|
| 504 |
|
|
|a Includes bibliographical references and index.
|
| 505 |
0 |
0 |
|g 1.
|t Introduction --
|g 2.
|t Motivating studies --
|g 3.
|t Generalized linear models --
|g 4.
|t Linear mixed models for Gaussian longitudinal data --
|g 5.
|t Model families --
|g 6.
|t The strength of marginal models --
|g 7.
|t Likelihood-based marginal models --
|g 8.
|t Generalized estimating equations --
|g 9.
|t Pseudo-likelihood --
|g 10.
|t Fitting marginal models with SAS --
|g 11.
|t Conditional models --
|g 12.
|t Pseudo-likehood --
|g 13.
|t From subject-specific to random-effects models --
|g 14.
|t The generalized linear mixed model (GLMM) --
|g 15.
|t Fitting generalized linear mixed models with SAS --
|g 16.
|t Marginal versus random-effects models --
|g 17.
|t The analgesic trial --
|g 18.
|t Ordinal data --
|g 19.
|t The epilepsy data --
|g 20.
|t Non-linear models --
|g 21.
|t Pseudo-likelihood for a hierarchical model --
|g 22.
|t Random-effects models with serial correlation --
|g 23.
|t Non-Gaussian random effects --
|g 24.
|t Joint continuous and discrete responses --
|g 25.
|t High-dimensional joint models --
|g 26.
|t Missing data concepts --
|g 27.
|t Simple methods, direct likelihood, and WGEE --
|g 28.
|t Multiple imputation and the EM algorithm --
|g 29.
|t Selection models --
|g 30.
|t Pattern-mixture models --
|g 31.
|t Sensitivity analysis --
|g 32.
|t Incomplete data and SAS.
|
| 650 |
|
0 |
|a Longitudinal method.
|0 http://id.loc.gov/authorities/subjects/sh85078296
|
| 650 |
|
0 |
|a Multivariate analysis.
|0 http://id.loc.gov/authorities/subjects/sh85088390
|
| 650 |
|
7 |
|a Longitudinal method.
|2 fast
|0 http://id.worldcat.org/fast/fst01002409
|
| 650 |
|
7 |
|a Multivariate analysis.
|2 fast
|0 http://id.worldcat.org/fast/fst01029105
|
| 700 |
1 |
|
|a Verbeke, Geert.
|1 http://viaf.org/viaf/27806019
|0 http://id.loc.gov/authorities/names/n97047316
|
| 901 |
|
|
|a ToCBNA
|
| 903 |
|
|
|a HeVa
|
| 035 |
|
|
|a (OCoLC)61260822
|
| 929 |
|
|
|a cat
|
| 999 |
f |
f |
|i 61d21028-aabf-5534-9222-a62ca3b3fc53
|s 623b869a-5862-5e45-8212-19ba8d258047
|
| 928 |
|
|
|t Library of Congress classification
|a QA278 .M65 2005
|l JCL
|c JCL-Sci
|i 4893130
|
| 927 |
|
|
|t Library of Congress classification
|a QA278 .M65 2005
|l JCL
|c JCL-Sci
|e CRERAR
|b 70591832
|i 7909070
|
