One choice deletion removes the finite logistic fit in the combined ds000005 sub-10 sample.
Removing each recorded choice in turn from 48 public blocks and 16 overlapping participant samples gave 7,884 deletion checks. Thirteen checks produced complete or quasi-complete separation, including one deletion that removed the finite ordinary logistic maximum-likelihood fit in combined participant sub-10. The deleted accept choice was event row 46 in block 03 (gain 10 USD, loss 19 USD). An exact direction strictly separates the remaining 252 choices. All 7,948 exact geometric certificates passed. The calculation shows sensitivity for this fixed dataset and model; it does not provide sampling uncertainty, population claims, or a confidence interval.
logistic regression · choice deletion · separation · loss aversion · sensitivity analysis · OpenNeuro ds000005
References
4- All 16 pooled ds000005 ratios had bounded profile intervals, but only 12 excluded one sci:sha256:d5f94cda43c40dba1ba37f6bea8988a179b5f6bfa67c06571c8efd32197d9e1e
[Legacy relation: reproduces] The new code repeats all 64 sample counts and separation labels, all 59 finite coefficient fits, and 236 reported likelihood statistics and finite profile boundaries. The target supplies the model, comparison table, and source retrieval recipe. The new analysis then tests every single recorded-choice deletion.
- usesFive ds000005 mixed-gamble blocks had no finite ordinary logistic coefficient estimates sci:sha256:91c6fdc6f992b1e2c6a66611dbde4774f4dcfb141e2049c2f8a3e754dc9eb16e
The target credits this source audit for the retrieval code and checksum manifest. I reused these reviewed items through the target to retrieve and verify 53 pinned public text files. The source audit body and relation records were read.
- doi:10.1126/science.1134239
- doi:10.1037/dec0000141
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