Datasets:

ClarusC64
/

clinical-quad-interim-alpha-subgroup-decision-bias-v0.1

trial_id string	analysis_id string	week int64	information_fraction float64	alpha_spent float64	subgroup_effect_size float64	overall_effect_size float64	variance_inflation float64	decision_confidence float64	continuation_bias_z float64	wrong_decision_next_30d int64	label_wrong_decision_next_30d int64
TRIAL_INT01	A01	8	0.25	0.01	0.42	0.28	1.1	0.62	0.2	0	0
TRIAL_INT01	A02	12	0.35	0.015	0.48	0.26	1.2	0.66	0.4	0	0
TRIAL_INT01	A03	16	0.5	0.02	0.55	0.24	1.35	0.7	0.8	0	0
TRIAL_INT01	A04	20	0.65	0.025	0.6	0.22	1.55	0.74	1.2	1	1
TRIAL_INT01	A05	24	0.75	0.03	0.64	0.2	1.7	0.78	1.5	1	1
TRIAL_INT02	A01	10	0.3	0.012	0.4	0.3	1.08	0.6	0.1	0	0
TRIAL_INT02	A02	14	0.45	0.018	0.46	0.27	1.18	0.64	0.3	0	0
TRIAL_INT02	A03	18	0.6	0.022	0.53	0.25	1.4	0.69	0.9	1	1
TRIAL_INT02	A04	22	0.7	0.027	0.58	0.23	1.6	0.73	1.1	1	1
TRIAL_INT02	A05	26	0.8	0.032	0.62	0.21	1.75	0.77	1.4	1	1

Clinical Quad Interim Alpha Subgroup Decision Bias v0.1

Each row is an interim analysis snapshot.

Core quad

Information fraction
Alpha spending
Subgroup signal
Decision bias

Target

label_wrong_decision_next_30d

Files

data/train.csv
data/tester.csv
scorer.py

Evaluation

Run model on data/tester.csv
Return predictions row aligned
Score with scorer.py

License

MIT