• Title/Summary/Keyword: 벤치마크 용량 하한

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BMDL of blood lead for ADHD based on two longitudinal data sets (주의력 결핍 과잉 행동장애를 종점으로 하는 혈중 납의 벤치마크 용량 하한 도출: 두 동집단 자료의 병합)

  • Kim, Si Yeon;Ha, Mina;Kwon, Hojang;Kim, Byung Soo
    • The Korean Journal of Applied Statistics
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    • v.31 no.1
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    • pp.13-28
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    • 2018
  • The ministry of Environment of Korea initiated two follow-up surveys in 2005 and 2006 to investigate environmental effect on children's health. These two cohorts, referred to as the 2005 Cohort and 2006 Cohort, were followed up three times every two years. This data set was referred to as the Children's Health and Environmental Research (CHEER) data set. This paper reproduces the existing research results of Kim et al. (Journal of the Korean Data and Information Science Society, 25, 987-998, 2014) and Lee et al. (The Korean Journal of Applied Statistics, 29, 1295-1310, 2016) and derive a benchmark dose lower limit (BMDL) for blood lead level for attention deficit hyperactivity disorder (ADHD) after pooling two cohort data sets. The different ADHD rating scales were unified by applying the conversion formula proposed by Lee et al. (2016). The random effect model and AR(1) model were built to reflect the longitudinal characteristics and regression to the mean phenomenon. Based on these models the BMDLs for blood lead levels were derived using the BMDL formula and the simulation. We obtained a hight level of BMDLs when we pooled two independent cohort data sets.

Derivation of benchmark dose lower limit of lead for ADHD based on a longitudinal cohort data set (동집단 자료의 주의력 결핍 과잉행동 장애를 종점으로 한 납의 벤치마크 용량 하한 도출)

  • Kim, Byung Soo;Kim, Daehee;Ha, Mina;Kwon, Ho-Jang
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.5
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    • pp.987-998
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    • 2014
  • The primary purpose of this paper is to derive a benchmark dose lower limit (BMDL) of lead for the attention deficit/hyperactive disorder (ADHD) based on a longitudinal cohort data set which is referred to as CHEER data set. The CHEER data were recently recruited from the Ministry of Environment of S. Korea to investigate the effect of environment on children's health We first confirm the correlation of ADHD with the blood lead level using a linear mixed effect model. We report from the longitudinal characteristic of CHEER data that ADHD scores tend to have "regression to the mean". A dose-response curve of blood lead level with ADHD being the end point is derived and from this dose-response curve a few BMDLs are derived based on corresponding assumptions on the benchmark region.

Derivation of a benchmark dose lower bound of lead for attention deficit hyperactivity disorder using a longitudinal data set (경시적 자료의 주의력 결핍 과잉행동 장애를 종점으로 한 납의 벤치마크 용량 하한 도출)

  • Lee, Juhyung;Kim, Si Yeon;Ha, Mina;Kwon, Hojang;Kim, Byung Soo
    • The Korean Journal of Applied Statistics
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    • v.29 no.7
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    • pp.1295-1309
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    • 2016
  • This paper is to reproduce the result of Kim et al. (2014) by deriving a benchmark dose lower bound (BMDL) of lead based on the 2005 cohort data set of Children's Health and Environmental Research (CHEER) data set. The ADHD rating scales in the 2005 cohort were not consistent along the three follow-ups since two different ADHD rating scales were used in the cohort. We first unified the ADHD rating scales in the 2005 cohort by deriving a conversion formula using a penalized linear spline. We then constructed two linear mixed models for the 2005 cohort which reflected the longitudinal characteristics of the data set. The first model introduced the random intercept and the random slope terms and the second model assumed the first order autoregressive structure of the error term. Using these two models, we derived the BMDLs of lead and reconfirmed the "regression to the mean" nature of the ADHD score discovered by Kim et al. (2014). We also noticed that there was a definite difference between the sampling distributions of the two cohorts. As a result, taking this difference into account, we were able to obtain the consistent result with Kim et al. (2014).