MARC Record from marc_columbia

LEADER: 04399cam a22006854a 4500
001 4798470
005 20221103040634.0
008 040227t20042004njua b 001 0 eng
010 $a 2004040891
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050 00 $aQA278$b.F575 2004
060 00 $a2004 L-808
060 10 $aWA 950$bF557a 2004
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084 $a44.32$2bcl
100 1 $aFitzmaurice, Garrett M.,$d1962-$0http://id.loc.gov/authorities/names/n2004005465
245 10 $aApplied longitudinal analysis /$cGarrett M. Fitzmaurice, Nan M. Laird, James H. Ware.
260 $aHoboken, N.J. :$bWiley-Interscience,$c[2004], ©2004.
300 $axix, 506 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aWiley series in probability and statistics
504 $aIncludes bibliographical references (p. 485-500) and index.
505 00 $g1.$tLongitudinal and clustered data -- $g2.$tLongitudinal data : basic concepts -- $g3.$tOverview of linear models for longitudinal data -- $g4.$tEstimation and statistical inference -- $g5.$tModelling the mean : analyzing response profiles -- $g6.$tModelling the mean : parametric curves -- $g7.$tModelling the covariance -- $g8.$tLinear mixed effects models -- $g9.$tResidual analyses and diagnostics -- $g10.$tReview of generalized linear models -- $g11.$tMarginal models : generalized estimating equations (GEE) -- $g12.$tGeneralized linear mixed effects models -- $g13.$tContrasting marginal and mixed effects models -- $g14.$tMissing data and dropout -- $g15.$tSome aspects of the design of longitudinal studies -- $g16.$tRepeated measures and related designs -- $g17.$tMultilevel models -- $gApp. A.$tGentle introduction to vectors and matrices -- $gApp. B.$tProperties of expectations and variances -- $gApp. C.$tCritical points for a 50:50 mixture of chi-squared distributions.
520 1 $a"Written at a technical level suitable for researchers and graduate students, Applied Longitudinal Analysis provides a description of modern methods for analyzing longitudinal data. Focusing on General Linear and Mixed Effects Models for continuous responses, and extensions of Generalized Linear Models for discrete responses, the authors discuss in detail the relationships among these different models, including their underlying assumptions and relative merits."--BOOK JACKET.
650 0 $aLongitudinal method.$0http://id.loc.gov/authorities/subjects/sh85078296
650 0 $aRegression analysis.$0http://id.loc.gov/authorities/subjects/sh85112392
650 0 $aMultivariate analysis.$0http://id.loc.gov/authorities/subjects/sh85088390
650 0 $aMedical statistics.$0http://id.loc.gov/authorities/subjects/sh85083031
650 12 $aBiometry$xmethods.$0https://id.nlm.nih.gov/mesh/D001699Q000379
650 22 $aLongitudinal Studies.$0https://id.nlm.nih.gov/mesh/D008137
650 22 $aMultivariate Analysis.$0https://id.nlm.nih.gov/mesh/D015999
650 22 $aRegression Analysis.$0https://id.nlm.nih.gov/mesh/D012044
650 17 $aLongitudinaal onderzoek.$2gtt
650 17 $aStatistische methoden.$2gtt
650 17 $aStatistische analyse.$2gtt
650 6 $aMéthode longitudinale.
650 6 $aAnalyse de régression.
650 6 $aAnalyse multivariée.
650 6 $aStatistique médicale.
700 1 $aLaird, Nan M.,$d1943-$0http://id.loc.gov/authorities/names/n2004005470
700 1 $aWare, James H.,$d1941-2016.$0http://id.loc.gov/authorities/names/n2004005475
830 0 $aWiley series in probability and statistics.$0http://id.loc.gov/authorities/names/n98048834
856 41 $3Table of contents$uhttp://www.loc.gov/catdir/toc/wiley041/2004040891.html
856 42 $3Contributor biographical information$uhttp://www.loc.gov/catdir/bios/wiley047/2004040891.html
856 42 $3Publisher description$uhttp://www.loc.gov/catdir/description/wiley041/2004040891.html
852 00 $bleh$hQA278$i.F575 2004
852 00 $bmat$hQA278$i.F575 2004