0000000001062029
AUTHOR
V. Muggeo
Longitudinal Asthma Patterns in Italian Adult General Population Samples: Host and Environmental Risk Factors.
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%
Tuning parameter selection in LASSO regression
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.
ONJ in osteometabolic patients: NO guilty verdict for teeth extraction
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.