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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Crude incidence in two-phase designs in the presence of competing risks
Creator	Antolini, Laura Rebora, Paola Glidden, David Valsecchi, Maria
source	Medline; PMC
abstract	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. Common examples include the nested case-control and the case-cohort designs. For two-phase studies, appropriate weighted survival estimates have been derived; however, no estimator of cumulative incidence accounting for competing events has been proposed. This is relevant in the presence of multiple types of events, where estimation of event type specific quantities are needed for evaluating outcome. METHODS: We develop a non parametric estimator of the cumulative incidence function of events accounting for possible competing events. It handles a general sampling design by weights derived from the sampling probabilities. The variance is derived from the influence function of the subdistribution hazard. RESULTS: The proposed method shows good performance in simulations. It is applied to estimate the crude incidence of relapse in childhood acute lymphoblastic leukemia in groups defined by a genotype not available for everyone in a cohort of nearly 2000 patients, where death due to toxicity acted as a competing event. In a second example the aim was to estimate engagement in care of a cohort of HIV patients in resource limited setting, where for some patients the outcome itself was missing due to lost to follow-up. A sampling based approach was used to identify outcome in a subsample of lost patients and to obtain a valid estimate of connection to care. CONCLUSIONS: A valid estimator for cumulative incidence of events accounting for competing risks under a general sampling design from an infinite target population is derived.
has issue date	2016-01-11(xsd:dateTime)
bibo:doi	10.1186/s12874-015-0103-1
bibo:pmid	26754746
has license	cc-by
sha1sum (hex)	7c3ebae910203c1f867fad1b2c14c555fc3e263c
schema:url	https://doi.org/10.1186/s12874-015-0103-1
resource representing a document's title	Crude incidence in two-phase designs in the presence of competing risks
has PubMed Central identifier	PMC4710022
has PubMed identifier	26754746
schema:publication	BMC Med Res Methodol
resource representing a document's body	covid:7c3ebae910203c1f867fad1b2c14c555fc3e263c#body_text
is schema:about of	named entity 'PRESENCE OF' named entity 'PHASE' named entity 'ESTIMATOR' named entity 'GENERAL' named entity 'POSSIBLE' »more»

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