>  2020 APBG Webinar Series:Cluster Randomised Trials

Tue 4 Feb 2020 9am – 10am Eastern Australia Time - Sydney

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Abstract - Cluster randomised trials: types of trials, their design, and analysis

Although individually randomised trials are the gold standard for assessing the impact of new treatments on patient outcomes, cluster randomised trials are necessary when testing the effect of healthcare provider-level changes on patient outcomes, e.g. the effect of a hospital-wide handwashing program on infections. In this webinar, I will take you on a brief tour of the many different types of cluster randomised trials that are available, from the “standard” parallel cluster trial through to longitudinal designs such as the cluster randomised crossover trial and the stepped wedge. I will discuss the requirements of sample size and power calculations, briefly demonstrate a freely-available online app, and discuss the comparative efficiency of the different designs. Finally, I’ll briefly discuss the analysis of data from these trials and talk a bit about can go wrong when analysis models are misspecified.

Speaker Bio

Jessica Kasza is a senior lecturer in the Biostatistics Unit located in the School of Public Health and Preventive Medicine at Monash University. After completing a PhD in 2010 at the University of Adelaide, she spent time at the University of Copenhagen, before returning to the University of Adelaide. She has been at Monash University since 2013. She leads the development of statistical methodology for longitudinal cluster randomised trials, including the stepped wedge and cluster cross over designs, and has interests in the comparison of healthcare providers and causal inference. Jessica is the Vice President of the Statistical Society of Australia. You can find out more about her research at jkasza.netlify.com

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Web conference and dial in details below.

1. Please join my Infoshare session, Tuesday, February 04, 2020, 9:00AM, AUS Eastern Daylight Time.

http://webcon.infoshare.com.au/join?id=16936197

Meeting ID: 1693-6197

Meeting Password: No password needed

 2. For audio, please call inusing your telephone.  Please do not use your computer microphone and speakers as the system does not allow a mix of computer and phone audio.

Dial: 1300 254 410

Access Code: 25632826

TIPS: Avoid wireless connections since they may cause disconnections and slow down screen updates.

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Mon 9 Dec 2019 2:30pm – 5pm :George Institute, Level 5, 1 King St, Newtown

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Talk: Early stopping of clinical trials: impacts on treatment effects, meta-analyses and cost-effectiveness

Ian Marschner is Professor of Biostatistics at The University of Sydney, in the NHMRC Clinical Trials Centre

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>  2019 APBG Annual General Meeting