1.4k citations
- University College LondonGB16 papers
- London School of Hygiene & Tropical MedicineGB4 papers
- MRC Biostatistics UnitGB4 papers
- University of CambridgeGB3 papers
- University of PennsylvaniaUS3 papers
- AstraZeneca (United Kingdom)GB2 papers
- Medical Research CouncilGB2 papers
- Medical University of ViennaAT2 papers
- The University of MelbourneAU2 papers
- University of LeicesterGB2 papers
- Yale UniversityUS2 papers
- Zimmer Biomet (Germany)DE2 papers
19 papers
Introducing precision-weighted bias as a performance measure to inform the inclusion of adaptive designs in meta-analysis
Martin Law, David S. Robertson, Sofia S. Villar +4
We propose a novel, intuitive measure of statistical performance: precision-weighted bias. Precision-weighted bias is defined as the unconditional bias of an estimator weighted by…
What is estimated in cluster randomized crossover trials with informative sizes? -- A survey of estimands and common estimators
Kenneth M. Lee, Andrew B. Forbes, Jessica Kasza +5
In the analysis of cluster randomized trials (CRTs), previous work has defined two meaningful estimands: the individual-average treatment effect (iATE) and cluster-average treatmen…
Analysis of cohort stepped wedge cluster-randomized trials with non-ignorable dropout via joint modeling
Alessandro Gasparini, Michael J. Crowther, Emiel O. Hoogendijk +2
Stepped wedge cluster-randomized trial (CRTs) designs randomize clusters of individuals to intervention sequences, ensuring that every cluster eventually transitions from a control…
A Flexible Multi-Metric Bayesian Framework for Decision-Making in Phase II Multi-Arm Multi-Stage Studies
Suzanne M. Dufault, Angela M. Crook, Katie Rolfe +1
We propose a multi-metric flexible Bayesian framework to support efficient interim decision-making in multi-arm multi-stage phase II clinical trials. Multi-arm multi-stage phase II…
Phases of methodological research in biostatistics - building the evidence base for new methods
Georg Heinze, Anne-Laure Boulesteix, Michael Kammer +2
Although the biostatistical scientific literature publishes new methods at a very high rate, many of these developments are not trustworthy enough to be adopted by the scientific c…
Using modified intention-to-treat as a principal stratum estimator for failure to initiate treatment
Brennan C Kahan, Ian R White, Mark Edwards +1
Background: A common intercurrent event affecting many trials is when some participants do not begin their assigned treatment. Many trials use a modified intention-to-treat (mITT)…