activity
20062026
most citedLimit distribution theory for maximum likelihood estimation of a log-concave density

87 citations · 557 across the 33 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

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…

q-bio.OT2020★ 16 cited

Estimands in Hematologic Oncology Trials

Steven Sun, Hans-Jochen Weber, Emily Butler +2

The estimand framework included in the addendum to the ICH E9 guideline facilitates discussions to ensure alignment between the key question of interest, the analysis, and interpre…

stat.AP2020★ 28 cited

Survival analysis for AdVerse events with VarYing follow-up times (SAVVY) -- estimation of adverse event risks

Regina Stegherr, Claudia Schmoor, Jan Beyersmann +12

The SAVVY project aims to improve the analyses of adverse event (AE) data in clinical trials through the use of survival techniques appropriately dealing with varying follow-up tim…

stat.AP2020★ 4 cited

Survival analysis for AdVerse events with VarYing follow-up times (SAVVY) -- comparison of adverse event risks in randomized controlled trials

Kaspar Rufibach, Regina Stegherr, Claudia Schmoor +12

Analyses of adverse events (AEs) are an important aspect of the evaluation of experimental therapies. The SAVVY (Survival analysis for AdVerse events with Varying follow-up times)…

stat.AP2020★ 68 cited

Principal Stratum Strategy: Potential Role in Drug Development

Björn Bornkamp, Kaspar Rufibach, Jianchang Lin +6

A randomized trial allows estimation of the causal effect of an intervention compared to a control in the overall population and in subpopulations defined by baseline characteristi…

stat.AP2020★ 13 cited

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…

q-bio.OT2020★ 36 cited

Assessing the Impact of COVID-19 on the Objective and Analysis of Oncology Clinical Trials -- Application of the Estimand Framework

Evgeny Degtyarev, Kaspar Rufibach, Yue Shentu +10

COVID-19 outbreak has rapidly evolved into a global pandemic. The impact of COVID-19 on patient journeys in oncology represents a new risk to interpretation of trial results and it…