Dr Robert Mahar
Dr Robert Mahar
Robert Mahar received a PhD in Biostatistics at the University of Melbourne in 2019 following his completion of a Master of Biostatistics at the University of Queensland in 2014. He is an experienced statistician with a research focus on applied Bayesian methods, and novel experimental design and analysis, particularly for adaptive clinical trials and sequentially multiple assignment randomised trials.
His doctoral research focused on developing new models of lung function from multiple-breath washout and complex tidal flow waveform data, with an emphasis on computational Bayesian and spectral analytical methods. Prior to undertaking his graduate studies, he was a professional economist with a focus on both domestic and international housing and retail markets.
His doctoral research focused on developing new models of lung function from multiple-breath washout and complex tidal flow waveform data, with an emphasis on computational Bayesian and spectral analytical methods. Prior to undertaking his graduate studies, he was a professional economist with a focus on both domestic and international housing and retail markets.
Robert Mahar received a PhD in Biostatistics at the University of Melbourne in 2019 following his completion of a Master of Biostatistics at the University of Queensland in 2014. He is an experienced statistician with a research focus on applied...
Robert Mahar received a PhD in Biostatistics at the University of Melbourne in 2019 following his completion of a Master of Biostatistics at the University of Queensland in 2014. He is an experienced statistician with a research focus on applied Bayesian methods, and novel experimental design and analysis, particularly for adaptive clinical trials and sequentially multiple assignment randomised trials.
His doctoral research focused on developing new models of lung function from multiple-breath washout and complex tidal flow waveform data, with an emphasis on computational Bayesian and spectral analytical methods. Prior to undertaking his graduate studies, he was a professional economist with a focus on both domestic and international housing and retail markets.
His doctoral research focused on developing new models of lung function from multiple-breath washout and complex tidal flow waveform data, with an emphasis on computational Bayesian and spectral analytical methods. Prior to undertaking his graduate studies, he was a professional economist with a focus on both domestic and international housing and retail markets.
Top Publications
- Hernández-Mitre, MP, Morpeth, SC, Venkatesh, B, Hills, TE, Davis, J, Mahar, RK, McPhee, G, Jones, M, Totterdell, J, Tong, SYC, et al. TMPRSS2 inhibitors for the treatment of COVID-19 in adults: a systematic review and meta-analysis of randomized clinical trials of nafamostat and camostat mesylate.. Clin Microbiol Infect 30(6) : 743 -754 2024 view publication
- Anpalagan, K, Dotel, R, MacFadden, DR, Smith, S, Voss, L, Petersiel, N, Marks, M, Marsh, J, Mahar, RK, McGlothlin, A, et al. Does adjunctive clindamycin have a role in Staphylococcus aureus bacteremia? A protocol for the adjunctive treatment domain of the S. aureus Network Adaptive Platform (SNAP) randomized controlled trial.. Clin Infect Dis 2024 view publication
- Selman, CJ, Lee, KJ, Ferguson, KN, Whitehead, CL, Manley, BJ, Mahar, RK. Statistical analyses of ordinal outcomes in randomised controlled trials: a scoping review.. Trials 25(1) : 241 2024 view publication
- Ong, SWX, Lee, TC, Fowler, RA, Mahar, R, Pinto, RL, Rishu, A, Petrella, L, Whiteway, L, Cheng, M, McDonald, E, et al. Evaluating the impact of a SIMPlified LaYered consent process on recruitment of potential participants to the Staphylococcus aureus Network Adaptive Platform trial: study protocol for a multicentre pragmatic nested randomised clinical trial (SIMPLY-SNAP trial).. BMJ Open 14(1) : e083239 2024 view publication
- Han, X, Gray, LEK, Mahar, RK, Carlin, JB, Ranganathan, S, Vuillermin, PJ, Vukcevic, D. Assessing our capability to predict the presence of respiratory diseases at the age of four using data available at one month of age. 2024 view publication
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