Kelsey L.
Grantham.

Curriculum Vitae

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Clinical trial designer and methodologist

Research Fellow in Biostatistics.

I am a biostatistician interested in clinical trial design and analysis. I now work as a postdoctoral researcher at the Monash University School of Public Health and Preventive Medicine, where I develop methods for the design and analysis of cluster randomised clinical trials. My work covers optimal approaches for maximising statistical power and economic efficiency of trial designs.

Recent work focus

Research Interests

  • Clinical trial design

    Cluster trial focus

    My recent work has developed methods for the design of cluster randomized trials, with a focus on achieving maximal power at minimal cost.

  • Data analysis

    R, Python, Stata, & SAS

    My applied projects include epidemiological studies for global public health agencies, analysis of health study outcomes, and analytics for terabyte-scale datasets.

  • Multilevel models

    Cluster trial analysis

    My research requires analysing datasets with complex structures, such as from cluster trials where trial subjects are nested within clusters and there are correlated measures at one or both levels.

  • Bayesian inference

    Probabilistic modeling

    My methodological work includes the use of Bayesian methods to incorporate prior knowledge and regularize inference when data are sparse.

My research journey

Academic Timeline

A solid foundation of mathematics and statistics has helped me tackle complex problems in health, from optimally allocating funding across disease prevention programs to designing efficient clinical trials.

    • Biostatistics

      PhD student, postdoc

      Monash University School of Public Health and Preventive Medicine, Melbourne, Australia

    • 2016-present
    • Global public health

      Epi Modeller

      Optima Group, Burnet Institute, Melbourne, Australia

    • 2015-2016
    • Early Studies

      B.Sc & MAppStat

      B.Sc Mathematics, Cal Poly, San Luis Obispo CA, USA
      MAppStat, Macquarie University, Sydney, Australia

    • 2008-2015
Peer-reviewed articles

Academic Publications

Some of my recent publications.

  1. McGuinness SL, Johnson J, Eades O, Cameron PA, Forbes A, Fisher J, Grantham K, et al. Mental Health Outcomes in Australian Healthcare and Aged-Care Workers during the Second Year of the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2022; 19: 4951. Link to Article

  2. Grantham KL, Kasza J, Heritier S, Carlin JB, Forbes AB. Evaluating the performance of Bayesian and restricted maximum likelihood estimation for stepped wedge cluster randomized trials with a small number of clusters. BMC Medical Research Methodology 2022; 22(1): 1-18. Link to Article

  3. Turner EL, Platt AC, Gallis JA, Tetreault K, Easter C, McKenzie JE, Nash S, Forbes AB, Hemming K on behalf of the CRT Binary Outcome Reporting Group. Completeness of reporting and risks of overstating impact in cluster randomised trials: a systematic review. The Lancet Global Health 2021; 9(8): e1163-e1168. Link to Article | 2 citations

  4. Grantham KL, Kasza J, Heritier S, Hemming K, Litton E, Forbes AB. How many times should a cluster randomized crossover trial cross over? Statistics in Medicine 2019; 38(25): 5021-5033. Link to Article | Link to app | 12 citations

  5. Grantham KL, Forbes AB, Heritier S, Kasza J. Time parameterizations in cluster randomized trial planning. The American Statistician 2020; 74(2): 184-189. Link to Article | 11 citations

  6. Grantham KL, Kasza J, Heritier S, Hemming K, Forbes AB. Accounting for a decaying correlation structure in cluster randomized trials with continuous recruitment. Statistics in Medicine 2019; 38(11): 1918-1934. Link to Article | Link to app | 30 citations

  7. Stuart RM, Grobicki L, Haghparast-Bidgoli H, Panovska-Griffiths J, Skordis J, Keiser O, et al. How should HIV resources be allocated? Lessons learnt from applying Optima HIV in 23 countries. Journal of the International AIDS Society 2018; 21(4): e25097. Link to Article | 28 citations

  8. Kelly SL, Martin-Hughes R, Stuart RM, Yap XF, Kedziora DJ, Grantham KL, et al. The global Optima HIV allocative efficiency model: targeting resources in efforts to end AIDS. The Lancet HIV 2018; 5(4): e190-e198. Link to Article | 38 citations

  9. Pearson R, Killedar M, Petravic J, Kakietek JJ, Scott N, Grantham KL, et al. Optima Nutrition: an allocative efficiency tool to reduce childhood stunting by better targeting of nutrition-related interventions. BMC Public Health 2018; 18(1): 384. Link to Article | 36 citations

  10. Mahiane SG, Marsh K, Grantham K, Crichlow S, Caceres K, Stover J. Improvements in Spectrum’s fit to program data tool. AIDS 2017; 31(1): S23-S30. Link to Article | 10 citations

  11. Benedikt C, Kelly SL, Wilson D, Wilson DP on behalf of the Optima Consortium. Allocative and implementation efficiency in HIV prevention and treatment for people who inject drugs. International Journal of Drug Policy 2016; 38: 73-80. Link to Article | 5 citations

  12. Grantham KL, Kerr CC, Wilson DP. Local responses to local epidemics for national impact need advanced spatially explicit tools. AIDS 2016; 30(9): 1481-1482. Link to Article | 4 citations

  13. Phelan S, Phipps MG, Abrams B, Darroch F, Grantham K, Schaffner A, et al. Does behavioral intervention in pregnancy reduce postpartum weight retention? Twelve-month outcomes of the Fit for Delivery randomized trial. The American Journal of Clinical Nutrition 2014; 99(2), 302-311. Link to Article | 118 citations

Conference Presentations

Conference presentations including posters.

  1. “Staircase designs: a pragmatic alternative to the stepped wedge.” Invited oral presentation at the ViCBiostat Frontiers of Biostatistics showcase, 7 June 2022, Melbourne, Australia.

  2. “Staircase designs: a pragmatic alternative to the stepped wedge.” Seminar for the ViCBiostat Work in Progress meeting, 12 May 2022, Online.

  3. “Stepped wedge trials with a small number of clusters: Bayesian versus frequentist methods.” Invited seminar for the Australian Trials Methodology (AusTriM) Cluster Randomised Trials Special Interest Group, 18 November 2021, Online.

  4. “Stepped wedge trials with a small number of clusters: Bayesian versus frequentist methods.” Oral presentation at the Current Developments in Cluster Randomised Trials and Stepped Wedge Designs Conference, 15-17 November 2021, Online.

  5. “How many times should a cluster crossover randomised trial cross over?” Oral presentation at the Current Developments in Cluster Randomised Trials and Stepped Wedge Designs Conference, 21-22 November 2018, London, England.

  6. “How many crossovers in a cluster randomised crossover trial?” Oral presentation at the Joint International Society for Clinical Biostatistics and Australian Statistical Conference, 26-30 August 2018, Melbourne, Australia.

  7. “How many crossovers in a cluster randomised crossover trial?” Seminar for the ViCBiostat Work in Progress meeting, 12 July 2018, Melbourne, Australia.

  8. “Accounting for arrival times with a non-uniform correlation structure in multiple-period cluster randomised trials.” Seminar for the ViCBiostat Work in Progress meeting, 9 November 2017

  9. “Accounting for arrival times with a non-uniform correlation structure in multiple-period cluster randomised trials.” Oral presentation at the Young Statisticians Conference, 26-27 September 2017, Tweed Heads, Australia.

  10. “Accounting for arrival times with a non-uniform correlation structure in multiple-period cluster randomised trials.” Oral presentation at the Statistical Society of Australia Young Stats Showcase, 19 September 2017, Melbourne, Australia.

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