title: Using multiple imputation methods to estimate relative risks in small EPIC lung cancer subsets.
authors.affiliation: German Cancer Research Center, Dept. of Clinical Epidemiology, Heidelberg, Germany.
authors.forename: H P
authors.initials: HP
authors.lastname: Altenburg
authors.forename: A
authors.initials: A
authors.lastname: Agudo
authors.forename: F
authors.initials: F
authors.lastname: Berrino
authors.forename: H C
authors.initials: HC
authors.lastname: Boshuizen
authors.forename: H B
authors.initials: HB
authors.lastname: Bueno-de-Mesquita
authors.forename: L
authors.initials: L
authors.lastname: Janzon
authors.forename: L
authors.initials: L
authors.lastname: Le Marchand
authors.forename: J
authors.initials: J
authors.lastname: Linseisen
authors.forename: A
authors.initials: A
authors.lastname: Lukanova
authors.forename: T
authors.initials: T
authors.lastname: Rasmuson
authors.forename: P
authors.initials: P
authors.lastname: Vineis
authors.forename: E
authors.initials: E
authors.lastname: Riboli
authors.forename: A
authors.initials: A
authors.lastname: Miller
mesh_terms: D015982:Bias; D015331:Cohort Studies; D003627:Data Interpretation, Statistical; D005260:Female; D006801:Humans; D016013:Likelihood Functions; D016015:Logistic Models; D008175:Lung Neoplasms / Q000453:epidemiology*; D008297:Male; D008390:Markov Chains; D009010:Monte Carlo Method; D012044:Regression Analysis; D012306:Risk; D013223:Statistics as Topic / Q000379:methods*