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statistical-validation-framework-2

Statistical validation framework for weighted parameters

Metadata

Statusdone
Assignedagent-191
Agent identity3184716484e6f0ea08bb13539daf07686ee79d440505f1fdf2de0357707034c3
Created2026-04-01T15:18:01.727556470+00:00
Started2026-04-01T15:28:39.582085289+00:00
Completed2026-04-01T15:28:56.261862826+00:00
Tagseval-scheduled
Tokens269283 in / 3131 out
Eval score0.74
└ blocking impact0.80
└ completeness0.85
└ coordination overhead0.60
└ correctness0.85
└ downstream usability0.78
└ efficiency0.45
└ intent fidelity0.57
└ style adherence0.55

Description

Implement comprehensive statistical validation framework for copy-number weighted phyper() parameters.

Objectives

  • Validate null distribution properties (p-values follow Uniform(0,1))
  • Test Type I error control (false positive rate equals nominal α)
  • Verify parameter constraint enforcement
  • Test with various copy number distributions

Dependencies

  • Mathematical formulation document (completed)
  • Available research artifacts on weighted phyper validation

Expected Outputs

  • R functions for null distribution testing
  • Type I error rate validation
  • Parameter constraint validation functions
  • Statistical test results and documentation

Validation Criteria

  • Null hypothesis tests show uniform p-value distribution
  • Type I error rates within 1% of nominal levels
  • All parameter constraints properly enforced

Depends on

Required by

Log