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The probably most commonly used measure for expressing the pay-offs of early detection and treatment are survival rates. Yet, over time and groups this metric comes with several biases and thus, is not reliable for judging such benefits. Epidemiologists recommend using reduction of disease-specific mortality rates instead, which is unbiased. The purpose of the study is to investigate how primary care physicians understand and use different survival measures for determining the benefit of cancer screening tests.
Allocation: Randomized, Intervention Model: Parallel Assignment, Masking: Single Blind (Subject), Primary Purpose: Health Services Research
Different survival measures
Max Planck Institute for Human Development
Max Planck Institute for Human Development
Published on BioPortfolio: 2014-08-27T03:19:11-0400
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Of 17 performance measures of hospital quality regularly reported for the Veterans Administration (VA) health care system, rates of colorectal cancer screening are the lowest.
The purpose of this project is to improve cancer screening rates within practices serving low-income minority patients
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To examine the potential of claims-based comorbidity measures for controlling selection bias in observational studies of mammography screening.
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The identification of selected parameters in newborn infants by various tests, examinations, or other procedures. Screening may be performed by clinical or laboratory measures. A screening test is designed to sort out healthy neonates (INFANT, NEWBORN) from those not well, but the screening test is not intended as a diagnostic device, rather instead as epidemiologic.
Measures for assessing the results of diagnostic and screening tests. Sensitivity represents the proportion of truly diseased persons in a screened population who are identified as being diseased by the test. It is a measure of the probability of correctly diagnosing a condition. Specificity is the proportion of truly nondiseased persons who are so identified by the screening test. It is a measure of the probability of correctly identifying a nondiseased person. (From Last, Dictionary of Epidemiology, 2d ed)
The survival of a graft in a host, the factors responsible for the survival and the changes occurring within the graft during growth in the host.
Continuance of life or existence especially under adverse conditions; includes methods and philosophy of survival.
A class of statistical procedures for estimating the survival function (function of time, starting with a population 100% well at a given time and providing the percentage of the population still well at later times). The survival analysis is then used for making inferences about the effects of treatments, prognostic factors, exposures, and other covariates on the function.
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