title: Bayesian models identify specific lymphoproliferative disorders associated with hepatitis C virus infection.
authors.forename: Luca
authors.initials: L
authors.lastname: Arcaini
authors.forename: Cristiana
authors.initials: C
authors.lastname: Pascutto
authors.forename: Francesco
authors.initials: F
authors.lastname: Passamonti
authors.forename: Raffaele
authors.initials: R
authors.lastname: Bruno
authors.forename: Michele
authors.initials: M
authors.lastname: Merli
authors.forename: Silvia
authors.initials: S
authors.lastname: Rizzi
authors.forename: Ester
authors.initials: E
authors.lastname: Orlandi
authors.forename: Cesare
authors.initials: C
authors.lastname: Astori
authors.forename: Sara
authors.initials: S
authors.lastname: Rattotti
authors.forename: Marco
authors.initials: M
authors.lastname: Paulli
authors.forename: Mario
authors.initials: M
authors.lastname: Lazzarino
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001499:Bayes Theorem; D005260:Female; D016174:Hepacivirus / Q000302:isolation & purification*; D006526:Hepatitis C / Q000821:virology*; D006801:Humans; D008232:Lymphoproliferative Disorders / Q000473:pathology / Q000821:virology*; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D012307:Risk Factors; D055815:Young Adult