Literature DB >> 28620935

Fast precision estimation in high-dimensional multivariate joint models.

Vahid Nassiri1, Anna Ivanova1, Geert Molenberghs1,2, Geert Verbeke1,2.   

Abstract

A fast way is proposed based on the multiple outputation idea (Hoffman et al., ; Follmann et al., ) to calculate the precision of parameter estimates for high-dimensional multivariate joint models using a pairwise approach (Fieuws and Verbeke, ; Fieuws et al., ). Simulation results as well as data analysis shows possibly more than 2500 times faster computations using the proposed method. In our real data illustration, the time gain is more than 330 times.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  Joint model; Multiple outputation; Random effects

Mesh:

Year:  2017        PMID: 28620935     DOI: 10.1002/bimj.201600241

Source DB:  PubMed          Journal:  Biom J        ISSN: 0323-3847            Impact factor:   2.207


  2 in total

1.  Pairwise joint modeling of clustered and high-dimensional outcomes with covariate missingness in pediatric pneumonia care.

Authors:  Susan Gachau; Edmund Njeru Njagi; Geert Molenberghs; Nelson Owuor; Rachel Sarguta; Mike English; Philip Ayieko
Journal:  Pharm Stat       Date:  2022-02-24       Impact factor: 1.234

Review 2.  Lessons learned from IDeAl - 33 recommendations from the IDeAl-net about design and analysis of small population clinical trials.

Authors:  Ralf-Dieter Hilgers; Malgorzata Bogdan; Carl-Fredrik Burman; Holger Dette; Mats Karlsson; Franz König; Christoph Male; France Mentré; Geert Molenberghs; Stephen Senn
Journal:  Orphanet J Rare Dis       Date:  2018-05-11       Impact factor: 4.123

  2 in total

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