Multiple imputation of missing values in a cancer mortality analysis with estimated exposure dose (Articolo in rivista)

Type
Label
  • Multiple imputation of missing values in a cancer mortality analysis with estimated exposure dose (Articolo in rivista) (literal)
Anno
  • 2005-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.csda.2004.06.013 (literal)
Alternative label
  • Sartori, N.; Salvan, A.; Thomaseth, K. (2005)
    Multiple imputation of missing values in a cancer mortality analysis with estimated exposure dose
    in Computational statistics & data analysis (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Sartori, N.; Salvan, A.; Thomaseth, K. (literal)
Pagina inizio
  • 937 (literal)
Pagina fine
  • 953 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.sciencedirect.com/science/article/pii/S0167947304001999 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 49 (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1: Dipartimento di Statistica, Università \"Ca' Foscari\" di Venezia, Campiello Sant'Agostin, San Polo 2347, 30125 Venezia, Italy; 2: Istituto di Analisi dei Sistemi ed Informatica \"A. Ruberti\", Consiglio Nazionale delle Ricerche, viale Manzoni 30, 00185 Roma, Italy; 3: Istituto di Ingegneria Biomedica, Consiglio Nazionale delle Ricerche, Corso Stati Uniti 4, 35127 Padova, Italy (literal)
Titolo
  • Multiple imputation of missing values in a cancer mortality analysis with estimated exposure dose (literal)
Abstract
  • Imputation of missing values in a cancer mortality analysis in relation to estimated dose of dioxin for a cohort of chemical workers is considered. In particular, some subjects of the cohort have the body mass index (BMI) missing. This quantity is an essential ingredient for a toxicokinetic model that gives the estimated absorbed dose, which is then used for risk estimation in a proportional hazards model. Imputation of BMI allows to recover information and to use the entire cohort for risk estimation. Both conditional mean imputation and multiple imputation are used. The latter is a simulation-based approach to the analysis of missing data which takes into account the uncertainty of the imputation process using several imputations for each missing value. In the present context, the two imputation methods gave similar results, both correcting for bias (although with some questions) and leading to increased efficiency with respect to the complete-case analysis that simply discards the partially unobserved individuals. (literal)
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Prodotto
Autore CNR di
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi
Insieme di parole chiave di
data.CNR.it