Search results for " Relative Risk"

showing 3 items of 3 documents

An Extension of the DgLARS Method to High-Dimensional Relative Risk Regression Models

2020

In recent years, clinical studies, where patients are routinely screened for many genomic features, are becoming more common. The general aim of such studies is to find genomic signatures useful for treatment decisions and the development of new treatments. However, genomic data are typically noisy and high dimensional, not rarely outstripping the number of patients included in the study. For this reason, sparse estimators are usually used in the study of high-dimensional survival data. In this paper, we propose an extension of the differential geometric least angle regression method to high-dimensional relative risk regression models.

Clustering high-dimensional dataComputer sciencedgLARS Gene expression data High-dimensional data Relative risk regression models Sparsity · Survival analysisLeast-angle regressionRelative riskStatisticsEstimatorRegression analysisExtension (predicate logic)High dimensionalSettore SECS-S/01 - StatisticaSurvival analysis
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Comparing air quality indices aggregated by pollutant

2011

In this paper a new aggregate Air Quality Index (AQI) useful for describing the global air pollution situation for a given area is proposed. The index, unlike most of currently used AQIs, takes into account the combined effects of all the considered pollutants to human health. Its good performance, tested by means of a simulation plan, is confirmed by a comparison with two other indices proposed in the literature, one of which is based on the Relative Risk of daily mortality, considering an application to real data.

Functional principal component analysisPollutantHuman healthIndex (economics)Aggregate (data warehouse)StatisticsAir pollutionmedicineEnvironmental scienceAggregate AQI standardizing transformation Relative Risk relative variabilitymedicine.disease_causeAir quality indexHealth impact assessment
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Risk of thyroid as a first or second primary cancer. A population-based study in Italy, 1998–2012

2021

Abstract Background The number of patients living after a cancer diagnosis is increasing, especially after thyroid cancer (TC). This study aims at evaluating both the risk of a second primary cancer (SPC) in TC patients and the risk of TC as a SPC. Methods We analyzed two population‐based cohorts of individuals with TC or other neoplasms diagnosed between 1998 and 2012, in 28 Italian areas covered by population‐based cancer registries. Standardized incidence ratios (SIRs) of SPC were stratified by sex, age, and time since first cancer. Results A total of 38,535 TC patients and 1,329,624 patients with other primary cancers were included. The overall SIR was 1.16 (95% CI: 1.12–1.21) for SPC i…

MaleOncologyCancer Researchmedicine.medical_specialtypopulation-based cancer registriesPopulationSocio-culturaleSettore MED/42 - Igiene Generale E ApplicataHistory 21st CenturyCohort StudiesRisk FactorsProstateInternal medicinepopulation‐based cancer registriesmedicinethyroid cancerHumanscancer survivorsRadiology Nuclear Medicine and imagingRegistriesThyroid NeoplasmsOverdiagnosiseducationThyroid cancerResearch ArticlesRC254-282cancer survivors; Italy; population-based cancer registries; relative risk; second primary cancer; thyroid cancereducation.field_of_studycancer survivors Italy population-based cancer registries relative risk second primary cancer thyroid cancerbusiness.industryIncidenceIncidence (epidemiology)ThyroidNeoplasms. Tumors. Oncology. Including cancer and carcinogensCancerNeoplasms Second PrimaryHistory 20th Centurymedicine.diseaserelative riskmedicine.anatomical_structureOncologyItalyRelative riskFemalesecond primary cancerbusinessCancer PreventionResearch Article
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