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For board characteristics, we consider board size and the percentage of independent directors (Weisbach 1988).
The results indicate that racial differences in the collective set of characteristics we consider do have the potential to explain a considerable amount of the observed segregation, although more so for Asians and especially Hispanics than whites and blacks.
Despite the minor differences in patient characteristics, we consider the results to have high external validity due to the inclusion of approximately 15% of the entire Danish THA production of 2010 from 16 centers dispersed all over Denmark, centers with both low and high production, public as well as private, and both university hospitals and community hospitals.
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First, the validity of self-report has not been established for all characteristics we considered.
Thus, it appears that none of the patient characteristics we considered is capable of fully explaining our findings.
Since many of the variables we examined are related to maternal characteristics, we considered it essential that each sibship has the same mother.
To assess the influence of different clinical characteristics we considered the following subgroups of patients: a. Patients with or without radiation.
The incident characteristics we considered were year, whether the arrest was witnessed before EMS arrival, defibrillation attempted, shockable rhythm, response time, scene time, and transport time.
The patient characteristics we considered were sex, age, race/ethnicity, and insurance coverage (defined as expected primary payer on the hospital record).
In terms of the subject characteristics, we considered criteria such as their socio-demographic description, presentation characteristics and severity of symptoms, selection criteria and sample size determination procedures, sample size and recruitment procedures.
The hospital characteristics we considered were number of beds, membership in the Council of Teaching Hospitals (COTH), and the poverty rate in the hospital service area (defined as the smallest number of zip codes accounting for at least 90%% of all hospital volume).
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