PD-G04 · unit scale precision
Classification and audit outcome: unit scale precision; supported as scale caution.
Finding
Greene specifies both a shifted log-count transformation and its inverse; the table does not unambiguously identify the RMSE evaluation scale.
Current amendment or qualification
Clarify whether the tabulated RMSE is on the transformed or back-transformed count scale. Do not assert a definitive log scale or an unqualified number of falls.
Integration note: Do not assert definitively that RMSE is measured either in log counts or in numbers of falls. Say transformed modelling was used and scale requires clarification.
Remaining limitation: Do not assert definitively that RMSE is measured either in log counts or in numbers of falls. Say transformed modelling was used and scale requires clarification.
Evidence and provenance
- Greene BR, Premoli I, McManus K, et al. Predicting fall counts using wearable sensors: a novel digital biomarker for Parkinson's disease. Sensors. 2022;22:54 (published online December 2021). DOI 10.3390/s22010054 · Original source
Affected reports
Original audit locator(s): gait:P0086
Audit corrections describe the report only where that classification is explicit. A disagreement within a study, missing protocol, statistical query, access upgrade or optional addition is not silently converted into a report error or a new clinical threshold.
Audit register · Unresolved evidence queue
Linked knowledge pages
- TEST-WEARABLEGAIT Wearable and instrumented gait
Located in this vault
Mapping status: exact. An exact location match is not an additional empirical verification.