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Using empirical Bayes predictors from generalized linear mixed models to test and visualize associations among longitudinal outcomes.
Mikulich-Gilbertson, Susan K; Wagner, Brandie D; Grunwald, Gary K; Riggs, Paula D; Zerbe, Gary O.
Affiliation
  • Mikulich-Gilbertson SK; 1 Department of Psychiatry, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Wagner BD; 2 Department of Biostatistics and Informatics, School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Grunwald GK; 2 Department of Biostatistics and Informatics, School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Riggs PD; 2 Department of Biostatistics and Informatics, School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Zerbe GO; 1 Department of Psychiatry, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Stat Methods Med Res ; 28(5): 1399-1411, 2019 05.
Article in En | MEDLINE | ID: mdl-29488446
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Linear Models / Bayes Theorem Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Stat Methods Med Res Year: 2019 Document type: Article Affiliation country: United States Country of publication: United kingdom
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Linear Models / Bayes Theorem Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Stat Methods Med Res Year: 2019 Document type: Article Affiliation country: United States Country of publication: United kingdom