Search Results (1 to 10 of 1926 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 501 Journal of Medical Internet Research
- 366 JMIR Research Protocols
- 216 JMIR Formative Research
- 152 JMIR mHealth and uHealth
- 98 JMIR Public Health and Surveillance
- 82 JMIR Mental Health
- 77 Online Journal of Public Health Informatics
- 63 JMIR Medical Informatics
- 49 JMIR Human Factors
- 44 JMIR Cancer
- 33 JMIR Dermatology
- 29 JMIR Medical Education
- 28 JMIR Pediatrics and Parenting
- 25 JMIR Aging
- 22 JMIR Serious Games
- 21 Iproceedings
- 21 JMIR Cardio
- 17 JMIR Diabetes
- 12 JMIR Infodemiology
- 12 Journal of Participatory Medicine
- 11 Interactive Journal of Medical Research
- 11 JMIR Rehabilitation and Assistive Technologies
- 10 JMIR Perioperative Medicine
- 7 JMIR AI
- 6 JMIRx Med
- 4 JMIR Nursing
- 3 JMIR Biomedical Engineering
- 3 JMIR XR and Spatial Computing (JMXR)
- 1 JMIR Bioinformatics and Biotechnology
- 1 JMIR Neurotechnology
- 1 Medicine 2.0
- 0 iProceedings
- 0 JMIR Preprints
- 0 JMIR Challenges
- 0 JMIR Data
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
- 0 Asian/Pacific Island Nursing Journal
Consumer-Grade Neurofeedback With Mindfulness Meditation: Meta-Analysis
For between-participant designs, we primarily calculated Becker’s del for effect sizes, which is the Cohen d for the mb NF group minus the Cohen d for the control group [93]. This provides a simple measure of the degree of differential change between the groups. In cases of incomplete reporting, we converted t tests or partial eta-squared to Cohen d. All effect sizes were converted using Hedges g correction, as many sample sizes were small.
J Med Internet Res 2025;27:e68204
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
(C) and (D) Performance of training on BIDMC data and testing on MGH data. AUPRC: area under the precision-recall curve; AUROC: area under the receiver operating characteristic curve; BIDMC: Beth Israel Deaconess Medical Center; MGH: Mass General Hospital; PR: precision-recall; ROC: receiver operating characteristic.
Logistic regression coefficients from using the model trained with notes, ICDa codes, and medications. Unexpected results are discussed in the Error Analysis section.
JMIR Med Inform 2025;13:e64113
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section