Data and analysis outputs for: Technical Acquisition Parameters Dominate Demographic Factors in Chest X-ray AI Performance Disparities

Processed prediction data and analysis outputs accompanying the manuscript: "Technical Acquisition Parameters Dominate Demographic Factors in Chest X-ray AI Performance Disparities: A Multi-Dataset External Validation Study" (PLOS Digital Health, PDIG-D-26-00087).Contains per-image pneumonia prediction scores from five DenseNet-121 models evaluated on the RSNA Pneumonia Detection Challenge dataset (n=26,684), along with view type metadata (AP/PA) and revision analysis outputs including formal ANOVA decomposition, Cohen's d effect sizes, intersectional analysis, and validation framework classification.Raw DICOM images are not included due to licensing; they are available from:- RSNA: https://www.kaggle.com/c/rsna-pneumonia-detection-challenge- NIH: https://nihcc.app.box.com/v/ChestXray-NIHCCAnalysis code: https://doi.org/10.5281/zenodo.19081166GitHub: https://github.com/hayden-farquhar/AI-model-fairness-study