0000000001062029

AUTHOR

V. Muggeo

showing 3 related works from this author

Longitudinal Asthma Patterns in Italian Adult General Population Samples: Host and Environmental Risk Factors.

2020

Background: Asthma patterns are not well established in epidemiological studies. Aim: To assess asthma patterns and risk factors in an adult general population sample. Methods: In total, 452 individuals reporting asthma symptoms/diagnosis in previous surveys participated in the AGAVE survey (2011–2014). Latent transition analysis (LTA) was performed to detect baseline and 12-month follow-up asthma phenotypes and longitudinal patterns. Risk factors associated with longitudinal patterns were assessed through multinomial logistic regression. Results: LTA detected four longitudinal patterns: persistent asthma diagnosis with symptoms, 27.2%

medicine.medical_specialtyPopulationlcsh:MedicinecomorbiditiesArticle03 medical and health sciences0302 clinical medicineEnvironmental riskInternal medicineEpidemiologymedicine030212 general & internal medicineeducationAsthmaMultinomial logistic regressionvehicular trafficeducation.field_of_studybusiness.industrylcsh:RAsthma symptomslatent transition analysisGeneral Medicinecohortasthmamedicine.diseaserespiratory tract diseases030228 respiratory systemsmokeasthma; epidemiology; cohort; latent transition analysis; comorbidities; smoke; vehicular trafficCohortLatent transition analysisepidemiologybusinessJournal of clinical medicine
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Tuning parameter selection in LASSO regression

2016

We propose a new method to select the tuning parameter in lasso regression. Unlike the previous proposals, the method is iterative and thus it is particularly efficient when multiple tuning parameters have to be selected. The method also applies to more general regression frameworks, such as generalized linear models with non-normal responses. Simulation studies show our proposal performs well, and most of times, better when compared with the traditional Bayesian Information Criterion and Cross validation.

GCVBICSchall algorithmtuning parameter selection; lasso; GCV; BIC; CV; Schall algorithmtuning parameter selectionCVlassoSettore SECS-S/01 - Statistica
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ONJ in osteometabolic patients: NO guilty verdict for teeth extraction

2018

The aim of this study is to evaluate retrospectively the impact of some variables on the risk of oNJ onset in osteometabolic non-cancer patients by logistic regression analyses.

ONJ osteometabolic patients teeth extraction
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