Evaluating the use of existing data sources, probabilistic linkage, and multiple imputation to build population-based injury databases across phases of trauma care

scientific article

Evaluating the use of existing data sources, probabilistic linkage, and multiple imputation to build population-based injury databases across phases of trauma care is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1111/J.1553-2712.2012.01324.X
P932PMC publication ID3334286
P698PubMed publication ID22506952
P5875ResearchGate publication ID224051025

P50authorNathan KuppermannQ66360760
Renee Y. HsiaQ89180735
Eileen M. BulgerQ94668971
N. Ewen WangQ123177657
P2093author name stringN Clay Mann
Kristan Staudenmayer
James F Holmes
Lawrence J Cook
Jason S Haukoos
WESTRN investigators
Craig Newgard
Mengtao Dai
Susan Malveau
P2860cites workProbabilistic linkage of large public health data filesQ28303925
Practical introduction to record linkage for injury researchQ28392847
Deaths: preliminary data for 2009.Q30839430
The validity of using multiple imputation for missing out-of-hospital data in a state trauma registryQ31032841
Advanced statistics: missing data in clinical research--part 2: multiple imputationQ31116981
Deaths: final data for 2008.Q34342648
Validation of probabilistic linkage to match de-identified ambulance records to a state trauma registryQ36347259
A comparison of anlaytic methods for non-random missingness of outcome dataQ36717281
Probabilistic record linkage: relationships between file sizes, identifiers and match weights.Q38438818
A critical look at methods for handling missing covariates in epidemiologic regression analysesQ40383757
Developing a statewide emergency medical services database linked to hospital outcomes: a feasibility studyQ43906553
Long-term survival of adult trauma patientsQ45059977
Probabilistic linkage of computerized ambulance and inpatient hospital discharge records: a potential tool for evaluation of emergency medical servicesQ50125591
Imputation of missing values is superior to complete case analysis and the missing-indicator method in multivariable diagnostic research: a clinical example.Q53010235
Classifying trauma severity based on hospital discharge diagnoses. Validation of an ICD-9CM to AIS-85 conversion tableQ69493173
Dichotomizing continuous predictors in multiple regression: a bad ideaQ81336757
P433issue4
P921main subjectimputationQ1660484
P304page(s)469-480
P577publication date2012-04-01
P1433published inAcademic Emergency MedicineQ15755260
P1476titleEvaluating the use of existing data sources, probabilistic linkage, and multiple imputation to build population-based injury databases across phases of trauma care
P478volume19

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Q58554893Emergency Medical Services Administration of Systemic Corticosteroids for Pediatric Asthma: A Statewide Study of Emergency Department Outcomes
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Q48213265Role of Guideline Adherence in Improving Field Triage
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