Analysis of data with multiple sources of correlation in the framework of generalized estimating equations.
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Marginal and mixed-effects models in the analysis of human papillomavirus natural history data.Quasi-least squares with mixed linear correlation structuresHealth status, mood, and cognition in experimentally induced subclinical thyrotoxicosisCharacterizing maternal glycemic control: a more informative approach using semiparametric regression.An application of linear mixed effects model to assess the agreement between two methods with replicated observations.Marginal structural models to estimate the effects of time-varying treatments on clustered outcomes in the presence of interference.
P2860
Analysis of data with multiple sources of correlation in the framework of generalized estimating equations.
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2004 nî lūn-bûn
@nan
2004 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
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2004 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Analysis of data with multiple ...... eralized estimating equations.
@ast
Analysis of data with multiple ...... eralized estimating equations.
@en
type
label
Analysis of data with multiple ...... eralized estimating equations.
@ast
Analysis of data with multiple ...... eralized estimating equations.
@en
prefLabel
Analysis of data with multiple ...... eralized estimating equations.
@ast
Analysis of data with multiple ...... eralized estimating equations.
@en
P2093
P356
P1476
Analysis of data with multiple ...... eralized estimating equations.
@en
P2093
Justine Shults
Melicia C Whitt
Shiriki Kumanyika
P304
P356
10.1002/SIM.1887
P407
P577
2004-10-01T00:00:00Z