Causal estimates for external controls. How reasonable are the assumptions?

Abstract A causal model has been proposed for including external controls in randomized clinical trials that is based on five critical assumptions and has been illustrated using the example of two trials in spinal muscular atrophy. It is argued that four of these assumptions are obviously false in the example used and that this would be a problem for many cases where one sought to use the approach. The claimed superiority to Bayesian methods is debatable, since trial effects have not been allowed for. It is concluded that trialists should be cautious in applying such an approach to using external controls.

Authors

Institutions

Publication Details

Journal
Journal of the Royal Statistical Society Series A (Statistics in Society)
Published
2025-08-03
DOI
https://doi.org/10.1093/jrsssa/qnaf127
Primary Topic
Economic Policies and Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Causal estimates for external controls. How reasonable are the assumptions?

Stephen Senn
Journal of the Royal Statistical Society Series A (Statistics in Society)
Economic Policies and Impacts
article

Causal estimates for external controls. How reasonable are the assumptions?

Stephen Senn
article en

Abstract

Abstract A causal model has been proposed for including external controls in randomized clinical trials that is based on five critical assumptions and has been illustrated using the example of two trials in spinal muscular atrophy. It is argued that four of these assumptions are obviously false in the example used and that this would be a problem for many cases where one sought to use the approach. The claimed superiority to Bayesian methods is debatable, since trial effects have not been allowed for. It is concluded that trialists should be cautious in applying such an approach to using external controls.

Journal of the Royal Statistical Society Series A (Statistics in Society)Vol. 189(1)
Andrews University (US), St. Andrews University (US), Statistics Austria (AT), University of St Andrews (GB), Medical University of Vienna (AT), University of Sheffield (GB)
Openalex Percentile: Top 72%
Economic Policies and Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Causal estimates for external controls. How reasonable are the assumptions? — Stephen Senn · Journal of the Royal Statistical Society Series A (Statistics in Society) (2025) | TGRS Research Map | TGRS