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    <responseDate>2026-10-15T22:00:13Z</responseDate>
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                <identifier>oai:data.mendeley.com/cztmk38x77.1</identifier>
                <datestamp>2026-09-12T00:01:23Z</datestamp>
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    <dc:creator>Marques, Daniel</dc:creator>
    <dc:title>Pilot flight experience and accident severity in Brazilian general aviation: a register-based analysis of CENIPA final reports (2007– 2024)</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>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.

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. 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.</dc:description>
    <dc:subject>Aviation Safety</dc:subject>
    <dc:subject>Statistical Analysis</dc:subject>
    <dc:contributor>Serra de Arruda, Fabiana </dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/cztmk38x77.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/cztmk38x77.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/cztmk38x77</dc:relation>
    <dc:date>2026-09-12T00:01:23Z</dc:date>
</oai_dc:dc></metadata>
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