Postdoctoral Research Fellow
Overview
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.
Qualifications
- Doctor of Philosophy of Statistics, Macquarie University
- Masters (Research) of Statistics, Macquarie University
- Masters (Coursework) of Applied Statistics, Macquarie University
- Graduate Diploma in Statistics, University of New South Wales
- Bachelor of Meteorology, Sun Yat-sen University
Publications
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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
Publications
Journal Article
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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
