Ian Marschner (@ianmarschner) 's Twitter Profile
Ian Marschner

@ianmarschner

Biostatistics Professor at @Sydney_Uni and @TrialsCentre

ID: 904260029418692608

calendar_today03-09-2017 08:29:26

62 Tweet

151 Followers

125 Following

Ian Marschner (@ianmarschner) 's Twitter Profile Photo

Disappointing that today’s national vaccination targets are not age-specific. We need high coverage in both younger AND older adults to achieve herd immunity.

Ian Marschner (@ianmarschner) 's Twitter Profile Photo

Glad my research quoted but need to avoid 2 common covid mortality mistakes. Deaths divided by cases underestimates mortality as active cases are in denominator but not numerator. Also earlier outbreaks were in older people so recent mortality seems low abc.net.au/news/2021-09-1…

Ian Marschner (@ianmarschner) 's Twitter Profile Photo

NSW begins opening with 70% 16+ vaxed. Welcome relief but need to be aware the 70% is unevenly spread over age. Only 53% in highly mobile 20-29 group. As I said months ago, vax targets should have been age-specific. Will be crucial to follow the rules for vaxed and unvaxed.

Ian Marschner (@ianmarschner) 's Twitter Profile Photo

New paper + commentary on adaptive #PlatformTrials (APTs). We re-purposed network meta-analysis principles to separate randomised and non-randomised evidence from the embedded fixed designs in APTs. Non-concurrent controls and confounding are discussed. doi.org/10.1177%2F1740…

Colin Begg (@colinbbegg) 's Twitter Profile Photo

Adaptive platform trials lead to a patchwork of potential time-specific comparisons. Ian Marschner and Manjula Schou propose adapting network meta-analysis methods to this context. Ian Marschner NHMRC CTC SCTorg University of Sydney #FDA journals.sagepub.com/doi/pdf/10.117…

Ian Marschner (@ianmarschner) 's Twitter Profile Photo

New paper in Stat Methods Med Res from PhD student Anne Lyngholm Sørensen. Novel methodology to investigate effect modification in sub-group meta-analysis while maintaining within-study randomised comparisons @biostat_ucph NHMRC CTC MQ Maths & Stats journals.sagepub.com/doi/10.1177/09…

Matt Sydes (@mattsydes) 's Twitter Profile Photo

I'll be chairing our Panel Discussion at #SCT2023 next week on how best #ClinicalTrials can impact clinical practice. The session is called "Academic trials for regulatory (and payer) use" but discussion will be broader. This one's going to be fascinating. Come, join us! 1/6

I'll be chairing our Panel Discussion at #SCT2023 next week on how best #ClinicalTrials can impact clinical practice.

The session is called "Academic trials for regulatory (and payer) use" but discussion will be broader.

This one's going to be fascinating. Come, join us! 

1/6
Ian Marschner (@ianmarschner) 's Twitter Profile Photo

We developed a reporting framework for adaptive clinical trials. It uses the embedded fixed designs within an adaptive trial, which yield unbiased concurrently randomised cohorts. Paper is out in BMJMedicine ASCOT Trial NHMRC CTC AusTriM bmjmedicine.bmj.com/content/2/1/e0…

Ian Marschner (@ianmarschner) 's Twitter Profile Photo

Confidence distributions are distributional summaries of evidence. They’re like Bayesian posteriors but without prior distribution assumptions. I wrote a tutorial paper in Statistics in Medicine for clinical trial statisticians AusTriM NHMRC CTC onlinelibrary.wiley.com/doi/10.1002/si…

Nalini Joshi (@monsoon0) 's Twitter Profile Photo

“Removing the advanced mathematics prerequisite does nothing to address the decline in mathematics enrolments at schools and sends the wrong signal to students.” science.org.au/news-and-event…

Ian Marschner (@ianmarschner) 's Twitter Profile Photo

Recent The Lancet trial uses confidence distribution to conclude “the confidence that the risk ratio is lower than 1 is 97.2%”. Full confidence distribution plot in supplementary material. Excellent way to present trial results as described in Reference 24 thelancet.com/journals/lance…

Ian Marschner (@ianmarschner) 's Twitter Profile Photo

Non-concurrent controls occur in adaptive platform trials. Our paper gives a new more rigorous definition based on randomization cohort rather than time. Cohort adjustment and implications for databases & software are discussed. AusTriM NHMRC CTC onlinelibrary.wiley.com/doi/10.1002/bi…