ArticleStatistics in medicine2018
Comments on "Intermediate and advanced topics in multilevel logistic regression analysis".
Article in Statistics in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Untapped potential of multicenter studies: a review of cardiovascular risk prediction models revealed inappropriate analyses and wide variation in reporting.Diagnostic and prognostic research · 2019Review
Corrections and comments
- Comment on
Authors and funding
3 authors.
Funding
Abstract
Multilevel random-effects models have become a popular method in the analysis of clustered data. Such analyses enable researchers to quantify within-cluster and between-cluster variations of an outcome and to separate individual-level and cluster-level effects of covariates by taking advantage of the hierarchical structure of clustered data. The tutorial article by Austin and Merlo
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.