نتایج جستجو برای: cumulative incidence function
تعداد نتایج: 1489315 فیلتر نتایج به سال:
OBJECTIVE To evaluate the cumulative incidence of cervical intraepithelial neoplasia II or worse (grade II+) or cervical intraepithelial neoplasia grade III+ after short term persistence of prevalently detected carcinogenic human papillomavirus (HPV). DESIGN Population based cohort study. SETTING Guanacaste, Costa Rica. PARTICIPANTS 2282 sexually active women actively followed after enrol...
BACKGROUND During the influenza pandemic of 2009 estimates of symptomatic and asymptomatic infection were needed to guide vaccination policies and inform other control measures. Serological studies are the most reliable way to measure influenza infection independent of symptoms. We reviewed all published serological studies that estimated the cumulative incidence of infection with pandemic infl...
Background: According to recent reports during the COVID-19 pandemic, malaria-endemic regions have a significantly lower COVID-19 case and mortality rate than those malaria-non-endemic. This study aimed to evaluate the prevalence of COVID-19 in malarious areas of southern Iran and the incidence of disease in people previously infected with malaria. Materials and Methods: We conducted an ecolo...
We aimed to estimate the economic losses currently caused by coal workers' pneumoconiosis (CWP) and, on the basis of these measurements, confirm the economic benefit of preventive measures. Our cohort study included 1,847 patients with CWP and 43,742 coal workers without CWP who were registered in the employment records of the Datong Coal Mine Group. We calculated the cumulative incidence rate ...
Key Findings Crude rates depict the true magnitude of the risk as an average measure at the total population level. However, they are heavily affected by the respective age composition of the populations being compared. Once standardised for age composition, the rates become comparable. However, the standardised rates are hypothetical. In all cancer incidence for example, they are not the true ...
We introduce a new approach to competing risks using random forests. Our method is fully non-parametric and can be used for selecting event-specific variables and for estimating the cumulative incidence function. We show that the method is highly effective for both prediction and variable selection in high-dimensional problems and in settings such as HIV/AIDS that involve many competing risks.
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