150 citations · 266 across the 14 of their papers we have counts for
14 papers
Identifying predictive biomarkers of CIMAvaxEGF success in advanced Lung Cancer Patients
Patricia Luaces, Lizet Sanchez, Danay Saavedra +5
Objectives: To identify predictive biomarkers of CIMAvaxEGF success in the treatment of Non-Small Cell Lung Cancer Patients. Methods: Data from a clinical trial evaluating the effe…
Conditional bias reduction can be dangerous: a key example from sequential analysis
Ben Berckmoes, Anna Ivanova, Geert Molenberghs
We present a key example from sequential analysis, which illustrates that conditional bias reduction can cause infinite mean absolute error.
On asymptotic normality in estimation after a group sequential trial
Ben Berckmoes, Anna Ivanova, Geert Molenberghs
We prove that in many realistic cases, the ordinary sample mean after a group sequential trial is asymptotically normal if the maximal number of observations increases. We derive t…
On the sample mean after a group sequential trial
Ben Berckmoes, Anna Ivanova, Geert Molenberghs
A popular setting in medical statistics is a group sequential trial with independent and identically distributed normal outcomes, in which interim analyses of the sum of the outcom…
Approximate central limit theorems
Ben Berckmoes, Geert Molenberghs
We refine the classical Lindeberg-Feller central limit theorem by obtaining asymptotic bounds on the Kolmogorov distance, the Wasserstein distance, and the parametrized Prokhorov d…
On the asymptotic normality and the construction of confidence intervals for estimators after sampling with probabilistic and deterministic stopping rules
Ben Berckmoes, Geert Molenberghs
A key feature of a sequential study is that the actual sample size is a random variable that typically depends on the outcomes collected. While hypothesis testing theory for sequen…