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Leader |
LDR
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cam i 00 |
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Control # |
1
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2017029497 |
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Control # Id |
3
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DLC |
|
Date |
5
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20240429091521.0 |
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Fixed Data |
8
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170626t20182018flua b 001 0 eng |
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LC Card |
10
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$a 2017029497 |
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ISBN |
20
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$a9781498740760$q(hbk. : alk. paper) |
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ISBN |
20
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$a1498740766$q(hbk. : alk. paper) |
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ISBN |
20
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$z9781315151526$q(e-book) |
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ISBN |
20
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$z9781498740777$q(e-book) |
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ISBN |
20
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$z9781351647564$q(e-book) |
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ISBN |
20
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$z9781351638043$q (e-book) |
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Obsolete |
39
|
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$a316432$cTLC |
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Cat. Source |
40
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$aDLC$beng$cDLC$erda$dDLC |
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Authen. Ctr. |
42
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$apcc |
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LC Call |
50
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00 |
$aRC337$b.G87 2018 |
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Dewey Class |
82
|
00 |
$a616.890072/7$223 |
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ME:Pers Name |
100
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1 |
$aGueorguieva, Ralitza,$eauthor. |
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Title |
245
|
10 |
$aStatistical methods in psychiatry and related fields :$blongitudinal, clustered, and other repeated measures data /$cRalitza Gueorguieva. |
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Tag 264 |
264
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1 |
$aBoca Raton, Florida :$bCRC Press, Taylor & Francis Group,$c[2018] |
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Tag 264 |
264
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4 |
$cÃ2018 |
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Phys Descrpt |
300
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$axviii, 352 pages :$billustrations ;$c26 cm. |
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Tag 336 |
336
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$atext$btxt$2rdacontent |
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Tag 337 |
337
|
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$aunmediated$bn$2rdamedia |
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Tag 338 |
338
|
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$avolume$bnc$2rdacarrier |
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Series:Diff |
490
|
1 |
$aChapman & Hall/CRC interdisciplinary statistics series |
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Note:General |
500
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$a"A Chapman & Hall book." |
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Note:Bibliog |
504
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$aIncludes bibliographical references (pages 329-343) and index. |
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Note:Content |
505
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0 |
$aIntroduction -- Traditional methods for analysis of longitudinal and clustered data -- Linear mixed models for longitudinal and clustered data -- Linear models for non-normal outcomes -- Non-parametric methods for the analysis of repeatedly measured data -- Post hoc analysis and adjustments for multiple comparisons -- Handling of missing data and dropout in longitudinal studies -- Controlling the covariates in studies with repeated measures -- Assessment of moderator and mediator effects -- Mixture models for trajectory analyses -- Study design and sample size calculations -- Summary and further readings. |
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Abstract |
520
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$a"Data collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated repeated measures within individuals, there is natural heterogeneity in treatment responses and in other characteristics in the populations. Simple statistical methods do not work well with such data. More advanced statistical methods capture the data complexity better, but are difficult to apply appropriately and correctly by investigators who do not have advanced training in statistics. This book presents, at a non-technical level, several approaches for the analysis of correlated data: mixed models for continuous and categorical outcomes, nonparametric methods for repeated measures and growth mixture models for heterogeneous trajectories over time. Separate chapters are devoted to techniques for multiple comparison correction, analysis in the presence of missing data, adjustment for covariates, assessment of mediator and moderator effects, study design and sample size considerations. The focus is on the assumptions of each method, applicability and interpretation rather than on technical details." --Publisher's description. |
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Subj:Topical |
650
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0 |
$aPsychiatry$xResearch$xStatistical methods. |
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SE:Ufm Title |
830
|
0 |
$aInterdisciplinary statistics. |
