Data · dataset · 2026
Pilot flight experience and accident severity in Brazilian general aviation: a register-based analysis of CENIPA final reports (2007– 2024)
Listed in Teesside University Research Data Repository
This dataset contains aggregate research outputs and analysis code supporting the study “Pilot flight experience and accident severity in Brazilian general aviation: a register-based analysis of CENIPA final reports (2007–2024)”, by Daniel Guilherme Marques da Silva and Fabiana Serra de Arruda.
Description
The study examines the association between pilot-in-command flight experience and the probability of at least one onboard fatality, conditional on an accident having occurred.
It does not estimate accident incidence or exposure-adjusted accident risk. CENIPA final investigation reports were linked to structured occurrence and aircraft records. The revised analytical sample comprises 800 accident-aircraft records from 800 unique occurrences, including 199 records with onboard fatalities.
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General aviation is used in a broad operational sense; narrower operational definitions are examined in sensitivity analyses. The package includes regression coefficients, confidence intervals, sensitivity analyses, multiple-imputation summaries, missingness statistics, annual report-linkage and inclusion counts, calibration summaries, and model-derived probability curves. It also provides statistical code, variable and output dictionaries, descriptive metadata, file checksums, and instructions for regenerating figures.
The primary complete-case model includes 764 records and 192 fatal outcomes. The adjusted odds ratio per approximate doubling of total flight hours is 0.93 (95% CI 0.85–1.01; p=0.100). These observational results do not establish a causal or statistically conclusive inverse association.
To minimise indirect-identification and redistribution concerns, the package excludes record-level analytical data, aircraft registrations, occurrence identifiers, individual predictions, report narratives, original CENIPA PDFs, and third-party reference PDFs. The deposited summaries support inspection of the estimates and regeneration of six figures. Independent model refitting and reconstruction of the analytical cohort require additional record-level inputs that are not included.
Packaging and automated checks do not replace human validation of source extraction and linkage.
Links
Where it is published
- DOI doi.org/10.17632/cztmk38x77.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Mathematics & Statistics
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/cztmk38x77.1 | 11 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |