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The algorithm used to match SEER records to the CPS self-reports in the NLMS was derived directly from the two-step process to identify mortality in the NLMS [ 17] using personal identifiers: social security number (SSN), name (first and last), and date of birth (month and year).
This diagonal pattern enabled us to identify mortality rates for each birth cohort.
Objectives: To identify mortality risk factors at the start of continuous renal replacement therapy (CRRT) for acute kidney injury and early mortality risk factors in this patients.
The serum estradiol >97.9 pg/mL had sensitivity 60%%, specificity 90%%, positive predictive value 64%%, negative predictive value 88%%, positive likelihood 6, and negative likelihood 0.44 to identify mortality.
We sought to describe international trends in calcium, phosphorus, and PTH levels during 10 years and identify mortality risk categories in the Dialysis Outcomes and Practice Patterns Study (DOPPS), an international study of hemodialysis practices and associated outcomes.
We used the Social Security Death Index to identify mortality.
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This research paper identifies mortality factors related to small business owner-manager such as individual characteristics, industry sector experience, abilities and social ties.
The National Death Index has a sensitivity and specificity of >97% for identifying mortality (14).
We identified mortality from death certificate information from the Social Security Death Index.
We identified mortality in the 10-year period after amputation from death certificate data.
Van den Berghe and colleagues [ 90] identified mortality benefit in critically ill medical patients managed with strict glycaemic control for a minimum of 3 days.
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CEO of Professional Science Editing for Scientists @ prosciediting.com