Quantitative bias analysis for unanchored PAIC

32 open problems

Replacing the hidden assumption of exactly zero residual bias with explicit, interpretable sensitivity parameters.

ID Problem Priority Verdict Maturity prank
QBA-01 General estimand-specific QBA theory for unanchored PAIC Very high Partially addressed Emerging 1
QBA-02 No prospectively blinded calibration program for PAIC and QBA Very high Overstated Emerging 1
QBA-03 QBA modes and interval semantics are routinely conflated Very high Partially addressed Established 1
QBA-04 Generic unmeasured confounding collapses distinct bias mechanisms Very high Partially addressed Emerging 1
QBA-06 Measurement and misclassification QBA under population adjustment Very high Partially addressed Promising 1
QBA-10 Target population and joint-distribution uncertainty Very high Partially addressed Emerging 1
QBA-11 Outcome-model misspecification and doubly robust QBA Very high Confirmed open Promising 1
QBA-13 Simulated-covariate QBA is an STC route, not a general solution Very high Confirmed open Promising 1
QBA-14 Sensitivity parameters carry their own identification problem Very high Partially addressed Emerging 1
QBA-15 Multiple correlated omitted variables and their dependence structure Very high Partially addressed Emerging 1
QBA-16 Probabilistic QBA needs elicited and validated bias distributions Very high Partially addressed Emerging 1
QBA-17 Partial identification and robust decision regions for HTA Very high Confirmed open Promising 1
QBA-18 MAIC sensitivity grids: infeasible calibration and failed fits Very high Partially addressed Emerging 1
QBA-19 Latent-U Bayesian QBA hides nonidentification behind a proper prior Very high Unverifiable Emerging 1
QBA-20 Component PAIC needs joint population-and-bridge bias analysis Very high Confirmed open Emerging 1
QBA-22 Total bias is non-additive, so one-at-a-time analyses mislead Very high Partially addressed Emerging 1
QBA-23 Propagating every uncertainty layer without prohibitive cost Very high Partially addressed Emerging 1
QBA-24 Survival QBA beyond the hazard ratio with limited aggregate data Very high Partially addressed Emerging 1
QBA-25 Decision QBA: net benefit, tipping surfaces and extrapolation Very high Partially addressed Emerging 1
QBA-27 Prespecification and outcome-driven choice of sensitivity ranges Very high Partially addressed Promising 1
QBA-28 Reference QBA software and a minimum reporting standard Very high Partially addressed Promising 1
QBA-29 No agreed parameterization or format for unanchored PAIC sensitivity Very high Confirmed open Promising 1
QBA-31 Shifted-null margins are not calibrated to residual adjustment bias Very high Confirmed open Emerging 1
QBA-05 Transport bias functions are not adapted to aggregate-data PAIC High Confirmed open Promising 2
QBA-07 Outcome ascertainment and the observation process in external data High Unverifiable Promising 2
QBA-08 Index-date, immortal time and delayed entry in external comparators High Partially addressed Promising 2
QBA-09 No sensitivity parameters index departures from censoring at random High Overstated Emerging 2
QBA-12 Treatment version, care context and subsequent-therapy drift High Confirmed open Emerging 2
QBA-21 Unreleased cpaic has no QBA interface beyond box-bounded drift High Partially addressed Promising 2
QBA-26 Benchmarking and negative controls as data-based calibration High Partially addressed Promising 2
QBA-30 Added bias uncertainty can narrow rather than widen a pooled interval High Confirmed open Promising 2
QBA-32 No criterion selects among design-aware models for a mixed-design network High Partially addressed Promising 2
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