caa a22 4500 469030070 CHVBK 20180323132741.0 cr unu---uuuuu 170328e19920801xx s 000 0 eng 10.1007/BF00418013 doi (NATIONALLICENCE)springer-10.1007/BF00418013 Radon risk assessment: The effect of voluntary sampling distributions and bias [Elektronische Daten] [Karen Levy, Mitchell Small] This paper examines the problem of estimating indoor radon concentrations for radon-induced lung cancer risk assessment. Previous authors have identified various problems and possible corrections for the use of generally available radon screening measurements. Bias evident in data collected from volunteers is described; regional databases developed from voluntary data generally exhibit higher mean values than those obtained from random samples. Tools are developed to better characterize the differences in voluntary and random concentration distributions. Application is demonstrated using voluntary and random radon survey data for the state of North Dakota. Kluwer Academic Publishers, 1992 Levy Karen Department of Civil Engineering and Engineering and Public Policy, Carnegie Mellon University, 15213, Pittsburgh, PA, U.S.A. aut Small Mitchell Department of Civil Engineering and Engineering and Public Policy, Carnegie Mellon University, 15213, Pittsburgh, PA, U.S.A. aut Environmental Monitoring and Assessment Kluwer Academic Publishers 22/2(1992-08-01), 153-168 0167-6369 22:2<153 1992 22 10661 https://doi.org/10.1007/BF00418013 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00418013 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Levy Karen Department of Civil Engineering and Engineering and Public Policy, Carnegie Mellon University, 15213, Pittsburgh, PA, U.S.A aut NATIONALLICENCE 700 1- Small Mitchell Department of Civil Engineering and Engineering and Public Policy, Carnegie Mellon University, 15213, Pittsburgh, PA, U.S.A aut NATIONALLICENCE 773 0- Environmental Monitoring and Assessment Kluwer Academic Publishers 22/2(1992-08-01), 153-168 0167-6369 22:2<153 1992 22 10661 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer