caa a22 4500 475762622 CHVBK 20180406123555.0 cr unu---uuuuu 170329e20000601xx s 000 0 eng 10.1023/A:1009679013166 doi (NATIONALLICENCE)springer-10.1023/A:1009679013166 Sensitivity of normal theory methods to model misspecification in the calculation of upper confidence limits on the risk function for continuous responses [Elektronische Daten] [S.J. Banga, G.P. Patil, C. Taillie] Normal theory procedures for calculating upper confidence limits (UCL) on the risk function for continuous responses work well when the data come from a normal distribution. However, if the data come from an alternative distribution, the application of the normal theory procedures may lead serious over- or under-coverage depending upon the alternative distribution. In this paper we conduct simulation studies to investigate the sensitivity of three normal theory UCL procedures to departures from normality. Data from several gamma, reciprocal gamma, and lognormal distributions are considered. The normal theory procedures are applied to both the raw data and the log-transformed data. Kluwer Academic Publishers, 2000 coverage probability nationallicence dose-response models nationallicence gamma distribution nationallicence lognormal distribution nationallicence overcoverage nationallicence reciprocal gamma distribution nationallicence undercoverage nationallicence Banga S.J. Center for Statistical Ecology and Environmental Statistics, Department of Statistics, The Pennsylvania State University, 16802, University Park, PA aut Patil G.P. Center for Statistical Ecology and Environmental Statistics, Department of Statistics, The Pennsylvania State University, 16802, University Park, PA aut Taillie C. Center for Statistical Ecology and Environmental Statistics, Department of Statistics, The Pennsylvania State University, 16802, University Park, PA aut Environmental and Ecological Statistics Kluwer Academic Publishers 7/2(2000-06-01), 177-189 1352-8505 7:2<177 2000 7 10651 https://doi.org/10.1023/A:1009679013166 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1009679013166 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Banga S.J. Center for Statistical Ecology and Environmental Statistics, Department of Statistics, The Pennsylvania State University, 16802, University Park, PA aut NATIONALLICENCE 700 1- Patil G.P. Center for Statistical Ecology and Environmental Statistics, Department of Statistics, The Pennsylvania State University, 16802, University Park, PA aut NATIONALLICENCE 700 1- Taillie C. Center for Statistical Ecology and Environmental Statistics, Department of Statistics, The Pennsylvania State University, 16802, University Park, PA aut NATIONALLICENCE 773 0- Environmental and Ecological Statistics Kluwer Academic Publishers 7/2(2000-06-01), 177-189 1352-8505 7:2<177 2000 7 10651 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer