Timo Hakulinen

TL;DR: An increased difference in the excess mortality rates was observed between the two arms in the European Randomized Study of Screening for Prostate Cancer section Rotterdam, due to a systematic underestimation of the disease-specific deaths, and/or an additional disease-related mortality that is measured by an excess mortality analysis but not by a disease- specific mortality.

TL;DR: Empirical evaluation shows that extension of the time window used for modeling to about 10 years provides, in most cases, as accurate results as using a 5-year time window (whereas further extension may lead to considerably less accurate results in some cases).

TL;DR: Carinci et al. as discussed by the authors suggested that harmonization of data protection procedures between all EU Member States regarding research with patient data should be emphasized in the current proposal to update the European Union Data Protection directive (EU 95/46/EC), in order to facilitate optimal public health research that is executed with the highest standards of confidentiality.

TL;DR: This paper presents a meta-analyses of the literature review conducted at the 2015 USGS workshop on quantitative and qualitative assessments of mammary cancer screening procedure use and shows clear trends in survival and morbidity rates among women aged 50 and over.

TL;DR: The results indicate that no practical differences exist between the results derived under the assumptions of various models for competing risks, but that the exclusion of competing risks may result in considerable degrees of bias in estimation if the population has a high general mortality.