ArticleStatistics in medicine2014
Adjusting for misclassification in a stratified biomarker clinical trial.
Article in Statistics in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Two-stage Adaptive Enrichment Designs with Survival Outcomes and Adjustment for Misclassification in Predictive Biomarkers.Statistics in biopharmaceutical research · 2025Article
- Two-stage stratified designs with survival outcomes and adjustment for misclassification in predictive biomarkers.Statistics in medicine · 2024Article
- On the design and the analysis of stratified biomarker trials in the presence of measurement error.Statistics in medicine · 2021Article
- Biomarkers in early-phase trials: fundamental issues.Bioanalysis · 2018Article
- Relative efficiency of precision medicine designs for clinical trials with predictive biomarkers.Statistics in medicine · 2018Article
- Societal challenges of precision medicine: Bringing order to chaos.European journal of cancer (Oxford, England : 1990) · 2017Article
- Sample Size for Enriched Biomarker Designs With Measurement Error for Time-to-Event Outcomes.Pharmaceutical statisticsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Clinical trials utilizing predictive biomarkers have become a research focus in personalized medicine. We investigate the effects of biomarker misclassification on the design and analysis of stratified biomarker clinical trials. For a variety of inference problems including marker-treatment interaction in particular, we show that marker misclassification may have profound adverse effects on the coverage of confidence intervals, power of the tests, and required sample sizes. For each inferential problem, we propose methods to adjust for the classification errors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.