Using the trend of age-standardized incidence rate of cancers (ASR) is inaccurate for registration with incomplete reporting, especially in developing registries. The relative age-standardized ratio (RASR) is a new measure that takes ascertainment bias of registration into account. RASR is calculated from the ASR for each cancer divided by the ASR for leukemia. Leukemia was chosen as the reference because its ASR is rather constant over time in valid registries. The adjusted relative age-standardized rate (ARASR with same unit as ASR) is calculated by multiplying the RASR for a specific cancer in a particular year by the sum of ASRs of that cancer over the years for which a trend is being determined and then dividing result by the sum of RASRs of the cancer for those years. Two likely assumptions are behind use of ARASR, first, constant ASR of leukemia over time, second, if under/over-registration occurs, it happens for all cancers to the same extent (random under/over-reporting). Using the ARASR with empirical data of valid Finnish and SEER cancer registries proved that trend of ASRs for each cancer is almost equal to its ARASR. Using trends of ARASRs instead of ASRs in a registry with incomplete data collection in first years of registration demonstrated more realistic results. In conclusion, the ARASR is more accurate than the ASR for studying cancer incidence trends in registries with incomplete reporting. ARASRs in different countries or different times are comparable since they are age-standardized. Moreover, comparison between trends of ASRs and ARASRs can be used as a test for validity of registration.
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BMC Med Educ
January 2025
University of Minnesota Medical School, 420 Delaware Street SE, Mayo Building, Minneapolis, MN, 55455, USA.
Background: A common practice in assessment development, fundamental for fairness and consequently the validity of test score interpretations and uses, is to ascertain whether test items function equally across test-taker groups. Accordingly, we conducted differential item functioning (DIF) analysis, a psychometric procedure for detecting potential item bias, for three preclinical medical school foundational courses based on students' sex and race.
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Stat Med
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Department of Mathematical Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Multi-gene panel testing allows efficient detection of pathogenic variants in cancer susceptibility genes including moderate-risk genes such as ATM and PALB2. A growing number of studies examine the risk of breast cancer (BC) conferred by pathogenic variants of these genes. A meta-analysis combining the reported risk estimates can provide an overall estimate of age-specific risk of developing BC, that is, penetrance for a gene.
View Article and Find Full Text PDFEnviron Health Perspect
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Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, USA.
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J Educ Health Promot
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Department of Internal Medicine, Shri MP Shah Medical College Gujarat, India.
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Department of Legal Medicine, Teaching Hospital of Taher Sfar, 5100, Mahdia, Tunisia; Faculty of Medicine of Monastir, University of Monastir, Tunisia.
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