ArticleJournal of behavioral medicine2026
Data analysis for behavioral medicine: an introduction to the special issue.
Article in Journal of behavioral medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Methods and theory are deeply intertwined in behavioral research: theoretical developments lead to the need for new methods, and methodological innovations, in turn, open the door to new theoretical insights. To continue advancing research in behavior medicine, new methods need to be developed and implemented. At the same time, data collected in this field are becoming increasingly complex, requiring quantitative approaches that are both rigorous and accessible to analyze them effectively. In this Special Issue we have included eighteen papers that highlight developments and applications of quantitative methods for behavioral medicine. Across the papers we identified six main themes: mixture modeling, longitudinal modeling, location-scale models, methods for randomized trials and causal inference, methods using Bayesian inference, and estimating complex, nonlinear relationships.
Indexed as
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.