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Philip Pallmann

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.ME3
ORCID 0000-0001-8274-9696

identity via Semantic Scholar / OpenAlex

most citedCoBWeb: a user-friendly web application to estimate causal treatment effects from observational data using multiple algorithms

2 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

stat.ME2024★ 1 cited

Confidence intervals for adaptive trial designs II: Case study and practical guidance

David S. Robertson, Thomas Burnett, Babak Choodari-Oskooei +4

In adaptive clinical trials, the conventional confidence interval (CI) for a treatment effect is prone to undesirable properties such as undercoverage and potential inconsistency w…

stat.ME2024★ 1 cited

Confidence intervals for adaptive trial designs I: A methodological review

David S. Robertson, Thomas Burnett, Babak Choodari-Oskooei +4

Regulatory guidance notes the need for caution in the interpretation of confidence intervals (CIs) constructed during and after an adaptive clinical trial. Conventional CIs of the…

stat.ME2021★ 2 cited

CoBWeb: a user-friendly web application to estimate causal treatment effects from observational data using multiple algorithms

Andreas Markoulidakis, Peter Holmans, Philip Pallmann +2

Background/aims: While randomized controlled trials are the gold standard for measuring causal effects, robust conclusions about causal relationships can be obtained using data fro…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.