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Michael J. Grayling

22 papers hereh-index 13835 citations70 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author13
  • middle author8
  • last author1

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • stat.ME14
  • stat.AP4
  • stat.CO4

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedBayesian sample size determination in basket trials borrowing information between subsets

9 citations · 13 across the 13 of their papers we have counts for

collaborators
Showing 2020 · stat.APShow all

3 papers · 2 filters

stat.AP2020

Conditional Power and Friends: The Why and How of (Un)planned, Unblinded Sample Size Recalculations in Confirmatory Trials

Kevin Kunzmann, Michael J. Grayling, Kim M. Lee +3

Adapting the final sample size of a trial to the evidence accruing during the trial is a natural way to address planning uncertainty. Designs with adaptive sample size need to acco…

stat.AP2020★ 1 cited

Two-stage single-arm trials are rarely reported adequately

Michael J. Grayling, Adrian P. Mander

Purpose: Two-stage single-arm trial designs are commonly used in phase II oncology to infer treatment effects for a binary primary outcome (e.g., tumour response). It is imperative…

stat.AP2020

A review of Bayesian perspectives on sample size derivation for confirmatory trials

Kevin Kunzmann, Michael J. Grayling, Kim May Lee +3

Sample size derivation is a crucial element of the planning phase of any confirmatory trial. A sample size is typically derived based on constraints on the maximal acceptable type…

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