Marothi LETSOALO
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Multivariate Maternal Risk Phenotyping: Handling Time-Unstructuredness in Growth Mixture Models

Maternal Risk Phenotyping
Growth Mixture Models
Longitudinal Data
Biomarkers
Obstetric HIV
Will develop the irregular longitudinal biomarker framework, continuous-time structure, and phenotype derivation strategy for multivariate maternal risk trajectories.
Authors

Marothi Peter Letsoalo

Danielle Jade Roberts

Nonhlanhla Yende-Zuma

Date Updated

March 25, 2026

Keywords

PhDDesk

Focus

Multivariate maternal trajectory phenotyping under irregular follow-up, with explicit treatment of time-unstructured clinical records.

Overview

This page will concentrate on the physiological burden stream of the PhD. It will bring together biomarker selection, longitudinal timing structure, phenotype derivation, and diagnostics for growth mixture modeling when antenatal measurements are not regularly aligned across participants.

Planned Content

  1. Biomarker panel definition and preprocessing rules.
  2. Time-alignment strategy for irregular visit schedules.
  3. Growth-mixture model specification and class-evaluation diagnostics.
  4. Interpretation of longitudinal maternal risk phenotypes.

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ORCID: 0000-0003-2170-6312

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