ArticleStatistics and its interface2008
A tree-based method for modeling a multivariate ordinal response.
Article in Statistics and its interface, 2008. 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.
- Internal validation methods to detect patient characteristics associated with differential item functioning in patient-reported outcome measures.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
- A review on longitudinal data analysis with random forest.Briefings in bioinformatics · 2023Review
- A random forest method with feature selection for developing medical prediction models with clustered and longitudinal data.Journal of biomedical informatics · 2021Article
- The use of classification trees for bioinformatics.Wiley interdisciplinary reviews. Data mining and knowledge discovery · 2011Article
- Maximal conditional chi-square importance in random forests.Bioinformatics (Oxford, England) · 2010Article
- Willows: a memory efficient tree and forest construction package.BMC bioinformatics · 2009Article
- Energy bagging tree.Statistics and its interfaceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Motivated by a real example of understanding the so-called "building related occupant complaint syndromes" (BROCS), we propose a tree-based method for analyzing a multivariate ordinal response. Our method is semiparametric by assuming a within-node parametric distribution on the adaptive nonparametric tree framework. We use simulation experiments to demonstrate the ability of our method to identify underlying structures in the data and the fact that analyzing ordinal response data with proper methods that take ordinality into account is considerably more powerful than dichotomization. The reanalysis of the BROCS data also suggests new insights that go beyond a previous analysis based on the dichotomization.
Identifiers
What OpenQuestion holds
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.