Richard Tawiah


Post Doctoral Research Fellow

(02) 9399 1133

Mr Richard Tawiah is a biostatistician and a post-doctoral research fellow at NeuRA. He obtained his MPhil degree from Kwame Nkrumah University of Science and Technology (KNUST). Richard has collaboration with the Danish International Development Agency (DANIDA) through the KNUST chapter of the Building Stronger Universities (BSU) project.  He joined NeuRA in July 2019 following submission of his PhD thesis at Griffith University.  His research fields include survival analysis, mixture cure models, frailty models, multilevel models, multistate models, factor analysis and comorbidity/multimorbidity. In survival analysis, the primary focus of his research is on statistical methodology and biomedical applications, to provide novel and efficient approaches of modelling survival data with composite health outcomes (cure or long-term survivorship, disease relapses and death).  His methodological work also focuses on cure rate estimation and treatment comparisons in diverse populations attracted by multicentre studies.

Projects Richard Tawiah is currently involved with


Healthy and working life expectancies in an ageing Australia

Dr Kim Kiely (Lead Investigator) and Professor Kaarin Anstey (Co-investigator)

Australians are living longer and expected to work for longer than ever before. It is critical that additional years of life are at least matched by the increase in the years lived in good health, and that gains in healthy ageing are experienced across all sectors of society. There is also a great need to balance older adults’ capacity and opportunity to work with societal pressures to delay retirement.

The objective of this three-year project is to better understand individual and societal determinants that underlie variation in healthy ageing. We will identify characteristics that are tied to the years that older adults are able to engage in productive activities and live independently in good health. To achieve this, advanced health expectancy estimation methods are being used to analyse newly available mortality records that have been linked to national longitudinal survey data. These analyses will produce new, refined, estimates for Australia of ‘healthy life expectancy’ with ‘working life expectancy’. We will examine how these differ across sociodemographic strata, change over time, and compare internationally.

The project is funded by an Australian Research Council (ARC) Discovery Project (DP190100459).


Healthy and working life expectancies in an ageing Australia


Mixture cure models with time-varying and multilevel frailties for recurrent event data.

Tawiah R, McLachlan GJ, Ng SK

Multilevel model with random effects for clustered survival data with multiple failure outcomes.

Tawiah R, Yau KKW, McLachlan GJ, Chambers SK, Ng SK

Patterns of multimorbid health conditions: a systematic review of analytical methods and comparison analysis.

Ng SK, Tawiah R, Sawyer M, Scuffham P

We showed the extent of effects for heterogeneous analytical methods on identification of multimorbidity patterns. However, more work is needed to guide investigators for choosing the best analytical method to improve the validity and generalizability of findings. Investigators should also attempt to compare results obtained by various methods for a consensus grouping of multimorbid conditions.