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LSAC operates a service that collects and analyzes data for admission to all American Bar Association-approved law schools.
It has dropped data for admission rates — which focused attention on the most highly selective schools — and put some focus on low-income students.
Our database has linked data for admission to hospital and is therefore likely to have picked up the majority of emergency admissions, thereby minimising ascertainment bias.
Of the 98 who were linked, the data we had obtained from the hospital medical record did not match the VAED data for admission and discharge dates and hospital name in 4 cases.
Seventeen studies reported data for admission 12 28303135464750537 50 53 or reinterventions 34363940424552555 52 55 that required admission (fig 3).
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It looked at data for admissions for 462,396 heart attacks.
Here's the reaction from university staff: Universities already make use of contextual data for admissions, but they do so in the very worst way.
Table 2 presents the data for admissions for respiratory and non-respiratory causes.
Data for admissions to hospitals were obtained from the Australian Institute of Health and Welfare National Hospital Morbidity Database (July 2000 to June 2010).
Case-mix data for admissions by diagnostic category are presented in Table 2.
Demographic data, reason for admission, comorbidities, APACHEII, SOFA, SAPS3, reason for biopsy, clinical data, laboratory results, bronchoalveolar lavage (BAL), radiological pattern and histology, were analyzed.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com