지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.1
- 수록면
- 192 - 202 (11page)
이용수
초록· 키워드
오류제보하기
Objectives: According to the central limit theorem, the samples in population might be considered to follow normal distribution if a large number of samples are available. Once we assume that toxicity dataset follow normal distribution, we can treat and process data statistically to calculate genus or species mean value with standard deviation. However, little is known and only limited studies are conducted to investigate whether toxicity dataset follows normal distribution or not. Therefore, the purpose of study is to evaluate the generally accepted normality hypothesis of aquatic toxicity datasetMethods: We selected the 8 chemicals, which consist of 4 organic and 4 inorganic chemical compounds considering data availability for the development of species sensitivity distribution. Toxicity data were collected at the US EPA ECOTOX Knowledgebase by simple search with target chemicals. Toxicity data were re-arranged to a proper format based on the endpoint and test duration, where we conducted normality test according to the Shapiro-Wilk test. Also we investigated the degree of normality by simple log transformation of toxicity dataResults: Despite of the central limit theorem, only one large dataset (n>25) follow normal distribution out of 25 large dataset. By log transforming, more 7 large dataset show normality. As a result of normality test on small dataset (n<25), log transformation of toxicity value generally increases normality. Both organic and inorganic chemicals show normality growth for 26 species and 30 species, respectively. Those 56 species shows normality growth by log transformation in the taxonomic groups such as amphibian (1), crustacean (21), fish (22), insect (5), rotifer (2), and worm (5). In contrast, mollusca shows normality decrease at 1 species out of 23 that originally show normality. Conclusions: The normality of large toxicity dataset was not always satisfactory to the central limit theorem. Normality of those data could be improved through log transformation. Therefore, care should be taken when using toxicity data to induce, for example, mean value for risk assessment.
목차
등록된 정보가 없습니다.
참고문헌 (26)
참고문헌 신청
Korea ministry of government legislation / Act on registration, evaluation, etc. of chemical
European Commission / 2003 / Technical Guidance Document Part ? in support of the Commission Directive 93/67/EEC on Risk Assessment for new notified substances and Commission Regulation (EC) No 1488/94 on Risk Assessment for existing substances :99~105
United States Environmental Protection Agency / 1985 / Guidelines for Deriving Numerical National Water Quality Criteria for the Protection Of Aquatic Organisms and Their Use :16~20
Lumley T / 2002 / The Importance of the Normality Assumption in Large Public Health Data Sets / Annu. Rev. Public Health 23:151~169
Robert V. Hogg / 2014 / Probability and Statistical Inference / Pearson Education, Inc :200~202
European Commission / 2003 / Technical Guidance Document Part ? in support of the Commission Directive 93/67/EEC on Risk Assessment for new notified substances and Commission Regulation (EC) No 1488/94 on Risk Assessment for existing substances :99~105
United States Environmental Protection Agency / 1985 / Guidelines for Deriving Numerical National Water Quality Criteria for the Protection Of Aquatic Organisms and Their Use :16~20
Lumley T / 2002 / The Importance of the Normality Assumption in Large Public Health Data Sets / Annu. Rev. Public Health 23:151~169
Robert V. Hogg / 2014 / Probability and Statistical Inference / Pearson Education, Inc :200~202
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Review of toxicity prediction studies using toxicity database
환경독성보건학회 심포지엄 및 학술대회
2021 .05
-
한방의료기관이용환자의 부작용 및 독성발생의 특성 : 2011년 한방의료이용실태조사(보건복지부)를 중심으로
대한한의학회지
2016 .03
-
화학물질 독성 빅데이터와 심층학습 모델을 활용한 내분비계 장애물질 선별 방법? 세정제품과 세탁제품을 중심으로
한국환경보건학회지
2021 .10
-
Single oral dose toxicity test of DMZ-33, 71 and 77 in Balb/c mice
한국실험동물학회 학술발표대회 논문집
2022 .01
-
Suggestion for practical use of residual specimen in toxicity study
환경독성보건학회 심포지엄 및 학술대회
2022 .10
-
국내 서식 담수생물에 대한 화학사고 물질 10종의 급성독성평가
환경독성보건학회 심포지엄 및 학술대회
2017 .05
-
Acute and sub-acute oral toxicity study of multi-mineral compound in rats
한국실험동물학회 학술발표대회 논문집
2019 .07
-
Development of adverse outcome pathway using toxicity data-based artificial intelligence
환경독성보건학회 심포지엄 및 학술대회
2021 .10
-
국내 서식 담수새우 새뱅이(Neocaridina denticulata)를 이용한 3,4-Dichloroaniline의 급성독성 교차시험(Ring test)
한국환경보건학회지
2019 .01
-
Data Distribution: Normal or Abnormal?
Journal of Korean Medical Science
2024 .01
-
LD50 estimations for alternative animal studies using IC50 in HepG2 and iPSC-derived hepatocytes
한국실험동물학회 학술발표대회 논문집
2022 .01
-
시험종 및 시험기간에 따른 Chitosan의 수서생물독성 평가
환경독성보건학회 심포지엄 및 학술대회
2022 .10
-
Toxicity assessment for organic chemicals used in organic solar cells
환경독성보건학회 심포지엄 및 학술대회
2023 .11
-
Screening of toxic potential of graphene family nanomaterials using in vitro and alternative in vivo toxicity testing systems
Environmental Analysis Health and Toxicology
2015 .12
-
Pathological evaluation of beagle dogs in toxicity studies
한국실험동물학회 학술발표대회 논문집
2017 .08
-
알루미늄 가공 공장 배출 방류수의 독성 원인물질 탐색
한국환경보건학회지
2015 .01
-
Assessing aquatic toxicity of leachates from shoe sole fragments
환경독성보건학회 심포지엄 및 학술대회
2021 .05
-
Transformation of ZnO nanoparticles in aquatic environment and its toxicity changes
환경독성보건학회 심포지엄 및 학술대회
2019 .10
-
Species sensitivity distribution for evidently edible microplastics in freshwater considering non-traditional toxicity endpoint
환경독성보건학회 심포지엄 및 학술대회
2023 .11
-
화학물질관리를 위한 한중일 공동연구 : 제브라피쉬를 이용한 어류 초기생장단계 독성시험 비교 연구
환경독성보건학회 심포지엄 및 학술대회
2017 .10
이 논문의 저자 정보
최근 본 자료
댓글(0)
0