Results 61 to 70 of about 192,457 (154)

Population‐based study evaluating and predicting the probability of death resulting from thyroid cancer among patients with papillary thyroid microcarcinoma

Cancer Medicine, 2019
Background Papillary thyroid microcarcinoma (PTMC) is an indolent carcinoma. The cumulative incidence of death from patients with PTMC and the nomogram built based on the competing risks model have not been described. Methods Patients diagnosed with PTMC
Kun Wang, Jing Xu, Shuyu Li, Shiyang Liu, Lin Zhang   +4 more
doaj   +1 more source

Age-specific incidence of A/H1N1 2009 influenza infection in England from sequential antibody prevalence data using likelihood-based estimation.

PLoS ONE, 2011
Estimating the age-specific incidence of an emerging pathogen is essential for understanding its severity and transmission dynamics. This paper describes a statistical method that uses likelihoods to estimate incidence from sequential serological data ...
Marc Baguelin, Katja Hoschler, Elaine Stanford, Pauline Waight, Pia Hardelid, Nick Andrews, Elizabeth Miller   +6 more
doaj   +1 more source

Cumulative incidence function estimation using population-based biobank data

Biometrics
ABSTRACT Many countries have established population-based biobanks, which are being used increasingly in epidemiological and clinical research. These biobanks offer opportunities for large-scale studies addressing questions beyond the scope of traditional clinical trials or cohort studies. However, using biobank data poses new challenges.
Malka Gorfine, David M Zucker, Shoval Shoham   +2 more
openaire   +2 more sources

Crude incidence in two-phase designs in the presence of competing risks

BMC Medical Research Methodology, 2016
Background In many studies, some information might not be available for the whole cohort, some covariates, or even the outcome, might be ascertained in selected subsamples. These studies are part of a broad category termed two-phase studies.
Paola Rebora, Laura Antolini, David V. Glidden, Maria Grazia Valsecchi   +3 more
doaj   +1 more source

Semiparametric regression on cumulative incidence function with interval-censored competing risks data and missing event types. [PDF]

Biostatistics, 2022
Park J, Bakoyannis G, Zhang Y, Yiannoutsos CT.   +3 more
europepmc   +1 more source

A hierarchical competing risks survival model in the study of child mortality in Bangladesh

Scientific Reports
Under-five child mortality remains a significant public health issue in Bangladesh and other developing countries. Identifying key risk factors within a hierarchical data structure is crucial for improving health system performance.
Nazmul Haque, Mohammad Anamul Haque, Sheikh Sifat Sadikeen, Md. Jamal Uddin   +3 more
doaj   +1 more source

Association between kidney function trajectories and cardiovascular disease incidence among rural Uyghur residents in Xinjiang: a prospective cohort study

Zhongguo gonggong weisheng
ObjectiveTo understand the relationship between kidney function trajectories and cardiovascular disease (CVD) incidence among adult rural Uyghurs in Xinjiang Uyghur Autonomous Region (Xinjiang), and to provide a reference for early detection and ...
Xuehong XU, Jia HE, Rulin MA, Heng GUO, Xianghui ZHANG, Xin QIAN, KEERMAN Mulatibieke, Xinping WANG, MAIMAITIJIANG Remina, Shuxia GUO   +9 more
doaj   +1 more source

Methods of competing risks analysis of time to occurrence of reflux among children with antenatal hydronephrosis

Journal of Biostatistics and Epidemiology, 2016
Background & Aim: We aimed to describe a standard survival analysis, so that we can analyze some factors related to the time of occurrence of different types of reflux (unilateral-left, unilateralright, and bilateral) in children with antenatal ...
Maryam Nazemipour, Abdol-Mohammad Kajbafzadeh, Kazem Mohammad, Abbas Rahimi Foroushani, Maryam SeyedTabib, Ali Nazemipour, Mahmood Mahmoudi   +6 more
doaj  

Restricted estimation of the cumulative incidence functions corresponding to competing risks

, 2006
In the competing risks problem, an important role is played by the cumulative incidence function (CIF), whose value at time $t$ is the probability of failure by time $t$ from a particular type of failure in the presence of other risks. In some cases there are reasons to believe that the CIFs due to various types of failure are linearly ordered.
El Barmi, Hammou, Mukerjee, Hari
openaire   +4 more sources

Analyzing Competing Risk Data Using the R timereg Package

Journal of Statistical Software, 2011
In this paper we describe flexible competing risks regression models using the comp.risk() function available in the timereg package for R based on Scheike et al. (2008).
Thomas H. Scheike, Mei-Jie Zhang
doaj