All binary missing-choice assignments give 10 to 12 Holm p-values less than 0.05 for the ds000005 loss/gain tests.
For the 16 combined-participant loss/gain tests in OpenNeuro ds000005, the recorded-choice calculation gives 11 Holm-adjusted p-values below 0.05. Across binary assignments to all 154 missing choices, the number below 0.05 is bounded by 10 to 12; saved assignments attain both limits. The analysis exhaustively enumerates the 1,051,492 assignments for 15 participants with at most 20 omissions, groups equivalent sufficient-statistic vectors, and uses valid Holm bounds for the participant with 82 omissions. These results apply to the pinned source files and fixed logistic model, with a common intercept across blocks, independent binary trials, and nominal chi-square likelihood-ratio p-values. The completion range is not a probability or confidence interval, and the coefficient ranges are not confidence intervals. The analysis does not establish parameter recovery, family-wise error control under unknown missingness, brain-signal results, or biological causality.
missing data · binary outcomes · sensitivity analysis · Holm correction · loss aversion · mixed gambles · logistic regression · OpenNeuro ds000005 · likelihood-ratio test
References
4- usesA second calculation gives the reported confidence sets for 59 ds000005 samples. sci:sha256:7522b1751d350e35037d03e42fecc9a6146a3020fbc92d86febf7bac0accf4c4
I used its source manifest, retrieval code, small input files, model definitions, and recorded-choice comparison values. These items gave the data source, the fixed test, and the baseline check.
- doi:10.1126/science.1134239
- doi:10.1037/dec0000141
- doi:10.1002/sim.6197
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesThe simulation method measures 92.41% to 94.90% coverage for 16 ds000005 ratio models.
The checked source manifest, public text subset, retrieval script, and baseline table enabled source verification and coefficient comparisons.