Foetal ultrasound measurement imputations based on growth curves versus multiple imputation chained equation (MICE).

ABSTRACT:

Background

Ultrasound measures are valuable for epidemiologic studies of risk factors for growth restriction. Longitudinal measurements enable investigation of rates of change and identification of windows where growth is impacted more acutely. However, missing data can be problematic in these studies, limiting sample size, ability to characterise windows of vulnerability, and in some instances creating bias. We sought to compare a parametric linear mixed model (LMM) approach to multiple imputation in this setting with multiple imputation by chained equation (MICE) methodology.

Methods

Ultrasound scans performed for clinical purposes were abstracted from women in the LIFECODES birth cohort (n = 1003) if they were close in time to three study visits (median 18, 26, and 35 wee

SUBMITTER: Ferguson KK 

PROVIDER: S-EPMC6939297 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature