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Understanding and Communicating Maternity Disparities: Novel Statistical Methods for Improving Newborn, Child and Family Outcomes (code T3.1_Cardiff)

Capacity Development

The Opportunity

  • International students are welcome to apply but must secure alternative funding for the difference between UK and Overseas tuition fees.

The Project

This project offers an exciting opportunity to develop interactive and interpretable mathematical models that can improve understanding of maternity health and healthcare, with a particular focus on groups who experience the greatest disadvantage.

Despite advances in neonatal and perinatal care, many families continue to face barriers when moving from hospital to home after the birth of their baby. These barriers can limit access to support, early intervention services, and community resources, contributing to persistent inequalities in both short‑ and long‑term outcomes. Understanding these inequalities is challenging: social and economic risk factors interact in complex ways, and although large amounts of data are collected at individual and population levels, combining these data into realistic, interpretable models remains difficult. Traditional approaches often rely on naively adjusted estimates that mask underlying complexity and can be hard to translate into meaningful policy or practice.

This project aims to improve both the measurement and the communication of inequalities in newborn, early childhood (including disability), and family outcomes. It will investigate patterns of risk, identify high‑priority groups, and explore the pathways that contribute to unequal outcomes. Using the regression by composition framework (recently developed by our team), the student will generate compelling graphical visualisations and intuitive numerical summaries that support clearer, more actionable interpretation. Particular emphasis will be placed on multidimensional comparisons that adjust for confounding while retaining clinically meaningful representations of uncertainty.

The studentship is well suited to candidates with a passion for statistical methodology, applied medical statistics, or mathematical modelling. Working with nationwide routinely collected datasets, the student will address causal questions related to geographical and societal inequalities in key maternity outcomes such as stillbirth, infant death, brain injury, and preterm birth. The student will work within a multidisciplinary team of statisticians, epidemiologists, clinicians, computer scientists and public contributors, gaining experience in translating methodological innovation into practical tools for improving population health.

Contact Supervisor- David Odd: OddD@cardiff.ac.uk

 

Who is a MDC PhD studentship for? 

We welcome applications from individuals passionate about maternal health equity with particular methodology knowledge and experience. We are committed to building a supportive, inclusive, and caring research community. We particularly encourage applications from: 

Eligibility Criteria

Essential

  • First/Upper Second-Class Honours degree (2:1 or above) or a Master’s degree in a relevant field.
  • Understanding of and commitment to tackling maternity inequalities. 
  • Relevant previous research experience – this experience may be relevant to either the research or methodological area. 
  • Excellent written and verbal communication skills. 
  • Highly motivated. 
  • Able to work both independently and as part of a team. 
  • Able to plan and manage own work. 
  • International applicants are welcome to apply for studentships, but applicants who are selected for interview must be able to provide proof of funding for international fees and immigration costs prior to their interview.   
  • Where English is not your first language, you must show evidence of English language ability to the following minimum level of proficiency: an overall IELTS score of 7.0 or above, with at least 6.5 in each component or an accepted equivalent. Please note that your test score must be current, i.e. within the last two years. The only exception to the above would be if applicants can provide a Master’s certificate completed in a UK institution with an outcome of merit or distinction, taken within the last two years.

*All students will be expected to be based at their host university and meet the individual university PhD studentship regulations. Please check individual university postgraduate admissions.

Accessibility and Support

NIHR Inequalities Challenge: Maternity Disparities Consortium

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