Matthew B. Jané
Matthew B. Jané
I’m a PhD candidate in Quantitative Psychology and Neuroscience at the University of Connecticut. I work on forensic meta-science, finding statistical errors and fabricated data in published medical and clinical research, and on statistical methods for meta-analysis.
I also created Audit Clinical Evidence (ACE), which audits published clinical trials for research integrity violations.
Tools



Papers
* Equal contribution.
Johnson, Simon, Li, Rokos, Martinez-Berman, Jané, Tsai, Loucks (2026) Mindfulness-based stress reduction interventions and cortisol regulation: A systematic review and meta-analysis. Health Psychology. Advance online publication. DOI: 10.1037/HEA0001636.
Jané*, Heathers*, Grimes* (2025) Major flaws in Taylor et al.’s (2025) meta-analysis on fluoride exposure and children’s IQ scores. OSF Preprints. Under review at Meta-Psychology. DOI: 10.31219/OSF.IO/ZHM54_V3.
Jané, Reinstein, Capitan (2025) Evaluation summary and metrics: “Meaningfully reducing consumption of meat and animal products is an unsolved problem: A meta-analysis”. The Unjournal. DOI: 10.21428/D28E8E57.808D24C9.
Johnson, Jané, Curley, Li, Martinez-Berman (2025) Methodological quality in health psychology research. The Sage Handbook of Health Psychology. Book chapter. DOI: 10.4135/9781529674743.N4.
Jané, Harlow, Khu, Shah, Gould, Veiner, Kuo, Hsu, Johnson (2024) Extracting pre-post correlations for meta-analyses of repeated measures designs. Preprint. DOI: 10.17605/OSF.IO/HZJ4D.
Jané, Xiao, Yeung, Ben-Shachar, Caldwell, Cousineau, Dunleavy, Elsherif, Johnson, Moreau, Riesthuis, Röseler, Steele, Vieira, Zloteanu, Feldman (2024) Guide to effect sizes and confidence intervals. Living open guide. DOI: 10.17605/OSF.IO/D8C4G.
Harlow*, Jané*, Read, Chrobak (2023) Memory retention following acoustic stimulation in slow-wave sleep: A meta-analytic review of replicability and measurement quality. Frontiers in Sleep. DOI: 10.3389/FRSLE.2023.1082253.
Jané, Pisupati, Smith, Castro-Tonelli, Melo-Thomas, Schwarting, …, Read (2022) Correlations across timing cues in natural vocalizations predict biases in judging synthetic sound burst durations. bioRxiv. DOI: 10.1101/2022.05.29.493898.
Public writing, talks, and software are in the CV.