Dr Ding Ma
Dr

Ding Ma

Email: 

Background

Dr Ding Ma is a postdoctoral research fellow in Biostatistics in the ULTRA team (University of Queensland’s cLinical TRials cApability). Ding graduated as a PhD in Statistics with topics in estimation of semiparametric accelerated failure time model considering time-varying covariates. He is interested in estimation of semiparametric survival models and their extensions in general. His skill set is mainly in survival analysis, nonprametric regression and computational statistics. He is passionate about developing statistical methodologies for biostatistics applications, such as clinical trials design and data analysis. In terms of teaching, Ding has extensive experience in tutoring 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 models for longitudinal and time-to-event data

Search Professor Ding Ma’s works on UQ eSpace

1 work between 2023 and 2023
All (1) Journal Article (1)

1 - 1 of 1 works

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

Current funding

  • 2024 - 2025
    SAFTEP: Semiparametric Accelerated Failure Time Evaluation Project
    Seed Funding for Methodology Research Scheme
    Open grant

Availability

Dr Ding Ma is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

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