Results 61 to 70 of about 6,720,136 (196)
Radiation Oncology, 2021 Purpose The main objective of this study was to evaluate the cumulative incidence of cause-specific mortality and other causes of mortality for patients with olfactory neuroblastoma (ONB).
Lipin Liu +5 more
doaj +1 more source
AN ADDITIVE SUBDISTRIBUTION HAZARDS MODEL FOR COMPETING RISKS DATA
Media StatistikaCompeting risk failure time data occur frequently in medical a number of methods have been proposed for the analysis of these data. The classic approach is to model all cause-specific hazards and then estimate the cumulative incidence curve based on ...
Molydah S Molydah S, Danardono Danardono
doaj +1 more source
Malaria Journal, 2017 The Kaplan–Meier (K–M) method is currently the preferred approach to derive an efficacy estimate from anti-malarial trial data. In this approach event times are assumed to be continuous and estimates are generated on the assumption that there is only one
Prabin Dahal +5 more
doaj +1 more source
Cumulative incidence and survival function Kaplan Meier curve of ABO blood type in COVID-19 cohort.
, 2021 Cumulative incidence and survival function Kaplan Meier curve of ABO blood type in COVID-19 cohort.
Muhammad Javaid (3471038) +8 more
core +1 more source
Approximate tests for the equality of two cumulative incidence functions of a competing risk
Statistics, 2017 In the context of a competing risks set-up, we discuss different inference procedures for testing equality of two cumulative incidence functions, where the data may be subject to independent right-censoring or left-truncation. To this end, we compare two-sample Kolmogorov–Smirnov- and Cramér–von Mises-type test statistics.
Dobler, Dennis, Pauly, Markus
openaire +2 more sources
Health Science ReportsBackground and Aims The Kaplan‐Meier (KM) method and competing risk analysis are two statistical approaches for analyzing time‐to‐event data. These methods differ in their treatment of competing events, such as deaths occurring before the event of ...
Isabella Gruber, Oliver Koelbl
doaj +1 more source
Long-term exposure to outdoor air pollution and the incidence of chronic obstructive pulmonary disease in a national English cohort. [PDF]
, 2014 OBJECTIVES: The role of outdoor air pollution in the incidence of chronic obstructive pulmonary disease (COPD) remains unclear. We investigated this question using a large, nationally representative cohort based on primary care records linked to hospital
Van Staa, Tjeerd; id_orcid +14 more
core +2 more sources
Estimating the cumulative incidence of SARS-CoV-2 with imperfect serological tests: Exploiting cutoff-free approaches. [PDF]
, 2021 Large-scale serological testing in the population is essential to determine the true extent of the current SARS-CoV-2 pandemic. Serological tests measure antibody responses against pathogens and use predefined cutoff levels that dichotomize the ...
Bonhoeffer, Sebastian +7 more
core +2 more sources
Archives of Endocrinology and Metabolism, 2021 Objective: To evaluate incidence of subclinical and overt hyperthyroidism and hypothyroidism. Subjects and methods: The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) is a prospective cohort study of 15,105 civil servants, examined at ...
Isabela M. Benseñor +17 more
doaj +1 more source
Flexible parametric modelling of cause-specific hazards to estimate cumulative incidence functions [PDF]
BMC Medical Research Methodology, 2013 Competing risks are a common occurrence in survival analysis. They arise when a patient is at risk of more than one mutually exclusive event, such as death from different causes, and the occurrence of one of these may prevent any other event from ever happening.There are two main approaches to modelling competing risks: the first is to model the cause ...
Hinchliffe, Sally R., Lambert, Paul C.
openaire +3 more sources