Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Elena STANGHELLINI"'
Autor:
Luisa Lanzilao, Antonella Mariniello, Bianca Polenzani, Alessandra Aldinucci, Peiman Nazerian, Alessio Prota, Stefano Grifoni, Barbara Tonietti, Chiara Neri, Livia Turco, Alessandra Fanelli, Amedeo Amedei, Elena Stanghellini
Publikováno v:
Frontiers in Bioscience-Landmark, Vol 28, Iss 2, p 31 (2023)
Background: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the COVID-19 pandemic and so it is crucial the right evaluation of viral infection. According to the Centers for Disease Control and Prevention (CDC), the
Externí odkaz:
https://doaj.org/article/f9cf1e4154864d888b21d45e80e9b00e
Publikováno v:
Revstat Statistical Journal, Vol 14, Iss 2 (2016)
This paper considers three different techniques applicable in the context of credit scoring when the event under study is rare and therefore we have to cope with unbalanced data. Logistic regression for matched case-control studies, logistic regressi
Externí odkaz:
https://doaj.org/article/ccfa1298e02642d683546ba6d3456123
Publikováno v:
International Statistical Review. 86:189-204
Summary Recent work (Seaman et al., 2013; Mealli & Rubin, 2015) attempts to clarify the not always well-understood difference between realised and everywhere definitions of missing at random (MAR) and missing completely at random. Another branch of t
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 65:775-795
Summary We explore the sensitivity of time varying confounding adjusted estimates to different dropout mechanisms. We extend the Heckman correction to two time points and explore selection models to investigate situations where the dropout process is
Autor:
Marco Doretti, Elena Stanghellini
A fundamental research question is how much a variation in a covariate influences a binary response variable in a logistic regression model, both directly or through mediators. We derive the exact formula linking the parameters of marginal and condit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::589efba530cca1441ba59a42c66dbb2e
http://arxiv.org/abs/1804.03062
http://arxiv.org/abs/1804.03062
Publikováno v:
European Journal of Ageing
Predictors of decline in health in older populations have been investigated in multiple studies before. Most longitudinal studies of aging, however, assume that dropout at follow-up is ignorable (missing at random) given a set of observed characteris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::993d4a3fd411768c6ad02f9f0242c144
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-127118
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-127118
Autor:
Veerasak Punyapornwithaya, Maria Giovanna RANALLI, Li-Chun Zhang, Francesco Bartolucci, Elena STANGHELLINI, Peter Van der Heijden, Marco Alfo'
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15ca433fc0124703ac6efb33d4d49da9
https://doi.org/10.4324/9781315151939
https://doi.org/10.4324/9781315151939
Unless strong assumptions are made, nonparametric identification of principal causal effects can only be partial and bounds (or sets) for the causal effects are established. In the presence of a secondary outcome, recent results exist to sharpen the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a660e699f7013fad1d9d68c1df0badf1
http://hdl.handle.net/11568/825761
http://hdl.handle.net/11568/825761
Publikováno v:
Statistics & Probability Letters. 78:824-829
We explore the effects of truncation on the joint distribution of the observable random variables. A general formula for the distortion induced by truncation in the least-squares coefficients is presented. The implications of our derivations are illu