Nondetects and Data Analysis: Statistics for Censored Environmental Data

By Philip M. Dixon. 2006

318 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a03c4602e5bbe8cf6766d149b812716359e5587d

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In Statistics and Probability

Citations in the corpus

fitdistrplus: An R Package for Fitting Distributions (2015, methodology): “In applied statistics, it is frequent to have to ﬁt distributions to censored data (Klein and Moeschberger, 2003; Helsel, 2005; Busschaert et al., 2010; Leha et al., 2011; Commeau et al., 2012).”
The First CHIME/FRB Fast Radio Burst Catalog (2021, methodology): ““left-censored” data in survival analysis parlance): the log-rank test (Harrington & Fleming 1982) and Peto & Peto’s modification (Peto & Peto 1972) of the Gehan-Wilcoxon test (Gehan 1965), both implemented using the R NADA package’s cendiff routine(6) (Helsel 2005; R Core Team 2020; Lopaka 2020). B”
Experimental uncertainty estimation and statistics for data having interval uncertainty. (2007, background): “There is a considerable statistical literature on handling censored data like this (Helsel 1990; 2005; Meeker and Escobar 1995).”
Emerging organic contaminants in groundwater: A review of sources, fate and occurrence. (2012, background): “…for each compound was chosen for comparison as this was found to be the most commonly cited value in published studies; due to the very large proportion of non-detects (often >90%), and the low sample numbers, calculating the mean value for many compounds is meaningless (Helsel, 2005).”
Fabricating data: how substituting values for nondetects can ruin results, and what can be done about it. (2006, methodology): “The process of substituting a fraction of the detection limits has repeatedly been shown to produce poor results in simulation studies (Gilliom and Helsel, 1986; Singh and Nocerino, 2002; and many others – see Helsel, 2005b for a list).”