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Dr Ding Ma
Dr

Ding Ma

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Overview

Background

Dr Ding Ma is a Postdoctoral Research Fellow in Biostatistics in the ULTRA team (University of Queensland’s cLinical TRials cApability). He holds a PhD in Statistics, with a focus on the estimation of semiparametric accelerated failure time (AFT) models incorporating time-varying covariates. Ding's research interests centre on the development and extension of semiparametric survival models, with expertise in survival analysis, semiparametric regression and computational statistics. He is passionate about advancing statistical methodologies to support applications in biostatistics, especially in the design and analysis of clinical trials. In addition to his research, Ding has extensive experience in tutoring a wide scope of statistics subjects, including introductory statistics, sampling design and analysis, statistical inference, statistical learning, etc.

Availability

Dr Ding Ma is:
Available for supervision

Qualifications

  • Bachelor of Meteorology, Sun Yat-sen University
  • Graduate Diploma in Statistics, University of New South Wales
  • Masters (Coursework) of Applied Statistics, Macquarie University
  • Masters (Research) of Statistics, Macquarie University
  • Doctor of Philosophy of Statistics, Macquarie University

Research interests

  • Semiparametric survival model estimation

    Including semiparametric accelerated failure time model, Cox proportional hazards model, etc.

  • Joint modelling of longitudinal and time-to-event data

Works

Search Professor Ding Ma’s works on UQ eSpace

5 works between 2023 and 2026

1 - 5 of 5 works

2026

Conference Publication

Frailty is associated with earlier dementia onset: Evidence from the Rush Memory and Aging Project

Strating, Tom R., Haapanen, Markus J., Ma, Ding, Gordon, Emily H., Rockwood, Kenneth, Hubbard, Ruth Eleanor and Ward, David D. (2026). Frailty is associated with earlier dementia onset: Evidence from the Rush Memory and Aging Project. HOBOKEN: WILEY.

Frailty is associated with earlier dementia onset: Evidence from the Rush Memory and Aging Project

2026

Conference Publication

Delirium predicts nursing home admission in individuals with and without dementia: A matched cohort study in the UK Biobank

Haapanen, Markus J., Ward, David D., Ma, Ding, Gordon, Emily H., Rockwood, Kenneth and Hubbard, Ruth Eleanor (2026). Delirium predicts nursing home admission in individuals with and without dementia: A matched cohort study in the UK Biobank. HOBOKEN: WILEY.

Delirium predicts nursing home admission in individuals with and without dementia: A matched cohort study in the UK Biobank

2026

Journal Article

Semiparametric accelerated failure time models with time-varying covariates under partly interval censoring

Bhaskaran, Aishwarya, Ma, Ding, Hong, Angela, Liquet, Benoit, Heritier, Stephane, Lo, Serigne N and Ma, Jun (2026). Semiparametric accelerated failure time models with time-varying covariates under partly interval censoring. BMC Medical Research Methodology. doi: 10.1186/s12874-026-02916-y

Semiparametric accelerated failure time models with time-varying covariates under partly interval censoring

2026

Journal Article

Delirium and incident nursing home admission among people with and without dementia

Haapanen, Markus J., Ward, David D., Ma, Ding, Gordon, Emily H., Rockwood, Kenneth and Hubbard, Ruth E. (2026). Delirium and incident nursing home admission among people with and without dementia. Age and Ageing, 55 (5) afag151. doi: 10.1093/ageing/afag151

Delirium and incident nursing home admission among people with and without dementia

2023

Journal Article

On semiparametric accelerated failure time models with time‐varying covariates: a maximum penalised likelihood estimation

Ma, Ding, Ma, Jun and Graham, Petra L. (2023). On semiparametric accelerated failure time models with time‐varying covariates: a maximum penalised likelihood estimation. Statistics in Medicine, 42 (30), 5577-5595. doi: 10.1002/sim.9926

On semiparametric accelerated failure time models with time‐varying covariates: a maximum penalised likelihood estimation

Funding

Past funding

  • 2025 - 2026
    Designing an Australian National Adaptive Platform Trial for Endometriosis
    MRFF Innovative Trials
    Open grant
  • 2024 - 2025
    SAFTEP: Semiparametric Accelerated Failure Time Evaluation Project
    Seed Funding for Methodology Research Scheme
    Open grant

Supervision

Availability

Dr Ding Ma is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Media

Enquiries

For media enquiries about Dr Ding Ma's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au