output
20132025
most citedData Validation

785 citations

8 papers

stat.ME2025★ 1 cited

Designing and evaluating advanced adaptive randomised clinical trials: a practical guide

Anders Granholm, Aksel Karl Georg Jensen, Theis Lange +3

Background: Advanced adaptive randomised clinical trials are increasingly used. Compared to their conventional counterparts, their flexibility may make them more efficient, increas…

stat.ML2023★ 7 cited

Interpreting Deep Neural Networks with the Package innsight

Niklas Koenen, Marvin N. Wright

The R package innsight offers a general toolbox for revealing variable-wise interpretations of deep neural networks' predictions with so-called feature attribution methods. Aside f…

stat.ME2022

A Robustness Test for Estimating Total Effects with Covariate Adjustment

Zehao Su, Leonard Henckel

Suppose we want to estimate a total effect with covariate adjustment in a linear structural equation model. We have a causal graph to decide what covariates to adjust for, but are…

cs.DB2020★ 785 cited

Data Validation

Mark P. J. van der Loo, Edwin de Jonge

Data validation is the activity where one decides whether or not a particular data set is fit for a given purpose. Formalizing the requirements that drive this decision process all…

cs.CY2017★ 2 cited

Design, analysis and implementation of electronic test for knowledge evaluation in the course of Information Technologies for pharmaceutical students

Hristo Manev, Mancho Manev

The increased usage of the information technologies in everyday life and especially in education leads to demands for new forms of teaching, studying and appropriate examination an…

stat.ML2017★ 3 cited

A Machine Learning Alternative to P-values

Min Lu, Hemant Ishwaran

This paper presents an alternative approach to p-values in regression settings. This approach, whose origins can be traced to machine learning, is based on the leave-one-out bootst…