2010
DOI: 10.2172/1009119
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PRIDE Surveillance Projects Data Packaging Project Information Package Specification Version 1.1

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“…Comparisons between categorical characteristics and hormone concentrations were performed by using censored regression models 27 assuming a log‐normal distribution for GDF9 and BMP15 concentrations, which were confirmed to be appropriate based on Q−Q plots 28 . Associations between hormone concentrations and continuous characteristics, as well as between pairs of hormone concentrations, were estimated using the NADA R package, 29 which produces a version of Kendall's tau correlation coefficient that allows for doubly censored data, 30 as well as its estimated asymptotic standard error. This was used to produce 95% confidence intervals (CI) for the correlation estimates and perform global Wald tests for interaction analysis of differences in correlations between groups ( p (int)).…”
Section: Methodsmentioning
confidence: 99%
“…Comparisons between categorical characteristics and hormone concentrations were performed by using censored regression models 27 assuming a log‐normal distribution for GDF9 and BMP15 concentrations, which were confirmed to be appropriate based on Q−Q plots 28 . Associations between hormone concentrations and continuous characteristics, as well as between pairs of hormone concentrations, were estimated using the NADA R package, 29 which produces a version of Kendall's tau correlation coefficient that allows for doubly censored data, 30 as well as its estimated asymptotic standard error. This was used to produce 95% confidence intervals (CI) for the correlation estimates and perform global Wald tests for interaction analysis of differences in correlations between groups ( p (int)).…”
Section: Methodsmentioning
confidence: 99%
“…Because many of these concentrations were below the limit of quantitation (LOQ; 0–98% of the samples for each analyte), we calculated the sum of the PFAS analytes using the Kaplan–Meier techniques (Helsel 2012). The Kaplan–Meier sums for each sample were calculated in R Ver 3.4.3 (R Core Team 2017) with the function cenfit in the package NADA Ver 1.6‐1.1 (Lee 2017) by multiplying the Kaplan–Meier mean by the number of analytes (Helsel 2012).…”
Section: Methodsmentioning
confidence: 99%