Mixed-effects models for health care longitudinal data with an informative visiting process: A Monte Carlo simulation study.
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ABSTRACT:
SUBMITTER: Gasparini A
PROVIDER: S-EPMC6919310 | biostudies-literature | 2020 Feb
REPOSITORIES: biostudies-literature
Publications
Mixed-effects models for health care longitudinal data with an informative visiting process: A Monte Carlo simulation study.
Gasparini Alessandro A Abrams Keith R KR Barrett Jessica K JK Major Rupert W RW Sweeting Michael J MJ Brunskill Nigel J NJ Crowther Michael J MJ
Statistica Neerlandica 20190905 1
Electronic health records are being increasingly used in medical research to answer more relevant and detailed clinical questions; however, they pose new and significant methodological challenges. For instance, observation times are likely correlated with the underlying disease severity: Patients with worse conditions utilise health care more and may have worse biomarker values recorded. Traditional methods for analysing longitudinal data assume independence between observation times and disease ...[more]
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