Longitudinal cluster randomised trials

My work in longitudinal cluster randomised trials has been focussed on increasing our understanding of the statistical aspects of these designs, and the development of more realistic within-cluster correlation structures. I am part of an International Network on Innovative Cluster Randomised Trials: more information available here. Please get in touch if you would like copies of any of these papers.

1.J Kasza, R Hooper, A Copas, AB Forbes. Sample size and power calculations for open cohort longitudinal cluster randomized trials. Statistics in Medicine. 2020:39(13);1871-1883.

• Paper freely available here
• Shiny app

2. K Hemming, J Kasza, R Hooper, AB Forbes, M Taljaard. A tutorial on sample size calculation for multiple-period cluster randomized parallel, cross-over and stepped-wedge trials using the Shiny CRT Calculator . International Journal of Epidemiology. 2020:49(3);979-995.

• Paper freely available here
• Shiny app

3. K Grantham, J Kasza, S Heritier, K Hemming, E Litton, A Forbes. How many times should a cluster randomized crossover trial cross over? Statistics in Medicine. 2019:38(25);5021-5033.

• Paper available here
• Shiny app
• Code
• I spoke about this work in an ACTA webinar, recording available here.

4. J Kasza, M Taljaard, A Forbes. Information content of stepped-wedge designs when treatment effect heterogeneity and/or implementation periods are present. Statistics in Medicine. Accepted 2019.

• Shiny app

5. K Grantham, A Forbes, S Heritier, J Kasza. Time Parameterizations in Cluster Randomized Trial Planning. The American Statistician. Accepted 2019.

• Paper available here

6. K Grantham, J Kasza, S Heritier, K Hemming, A Forbes. Accounting for a decaying correlation structure in cluster randomized trials with continuous recruitment. Statistics in Medicine. 2019:38(11);1918-1934.

• Paper available here
• Shiny app
• Code

7. J Kasza, A Forbes. Inference for the treatment effect in multiple-period cluster randomised trials when random effect correlation structure is misspecified. Statistical Methods in Medical Research. (2019) 28(10-11):3112-3122.

• Journal version of paper
• Shiny app
• Click here for a poster summarising this paper, runner-up for best poster pitch at ISCB ASC 2018.
• Winner of the 2019 Alfred Research Alliance EMCR Public Health and Clinical Research Best Paper Award.

8. J Kasza, A Forbes. Information content of cluster-period cells in stepped wedge trials. Biometrics. (2019) 75(1):144-152.

• Paper available here
• Shiny app
• Winner of the 2019 Monash University John McNeil Early Career Researcher Publication Prize for Public Health Research
• International Biometrics Society Journal Club, February 2020

1. J Kasza, K Hemming, R Hooper, JNS Matthews, A Forbes. Impact of non-uniform correlation on sample size and power in multiple period cluster randomised trials. Statistical Methods in Medical Research. 2019;28(3):703-716.
   • Paper available here
   • Shiny app
   • Code