Inka Marie Spyridonov, Lijuan Yan, Eduard Szöcs, Ana Filipa Pereira Miranda, Carsten Lange, Andrew Tindall, David Du Pasquier, Gregory Lemkine, Lennart Weltje, Maike Habekost, Pernille Thorbek
{"title":"Xeredar:一个开放源码的r包,用于统计分析使用鱼类或两栖动物eleuthero胚胎的内分泌新方法(NAMs)。","authors":"Inka Marie Spyridonov, Lijuan Yan, Eduard Szöcs, Ana Filipa Pereira Miranda, Carsten Lange, Andrew Tindall, David Du Pasquier, Gregory Lemkine, Lennart Weltje, Maike Habekost, Pernille Thorbek","doi":"10.1093/etojnl/vgaf056","DOIUrl":null,"url":null,"abstract":"<p><p>The experimental design of new approach methodologies (NAMs) might deviate from common ecotoxicological studies, often requiring tailored statistical approaches. For instance, in NAMs developed for the detection of endocrine activity using aquatic vertebrate eleutheroembryos (Xenopus eleutheroembryonic thyroid assay [XETA], rapid androgen disruption activity reporter [RADAR] assay and rapid estrogen activity in vivo [REACTIV] assay), all concentration groups are nested within three independent study repeats, named 'runs' in the relevant test guidelines. Here, runs are referred to as replicates to emphasize their role as the repeated, independent entity. By contrast, for most other ecotoxicological studies, the replicates are nested in the concentration groups. This leads to a different dependency structure for XETA, RADAR, and REACTIV assays. Disregarding this violates the basic statistical requirement for independence of observations potentially leading to incorrect conclusions. Unfortunately, in the statistical sections of the test guidelines of the XETA, RADAR and REACTIV assays, it is not clearly recommended to regard this dependency structure, as statistical recommendations using a mixed analysis of variance (ANOVA) are provided only in the annexes. Here, we present xeredar, an open-source R package allowing automated statistical analysis of XETA, RADAR, and REACTIV assays where the dependency structure of the data is correctly regarded through a mixed ANOVA. The xeredar package was validated on 36 XETA ring test studies and further tested on 41 RADAR ring test studies. A power analysis was carried out for the REACTIV assay, demonstrating that ignoring the dependency structure potentially leads to lower power and an increased false-positive rate compared with the mixed ANOVA approach. The open-source R package xeredar also comes with a Shiny application, making it accessible to everyone and thereby enhancing standardization and reproducibility for the statistical analyses of XETA, RADAR, and REACTIV assays.</p>","PeriodicalId":11793,"journal":{"name":"Environmental Toxicology and Chemistry","volume":" ","pages":"2673-2686"},"PeriodicalIF":2.8000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"xeredar: An open-source R package for the statistical analysis of endocrine new approach methodologies using fish and amphibian eleutheroembryos.\",\"authors\":\"Inka Marie Spyridonov, Lijuan Yan, Eduard Szöcs, Ana Filipa Pereira Miranda, Carsten Lange, Andrew Tindall, David Du Pasquier, Gregory Lemkine, Lennart Weltje, Maike Habekost, Pernille Thorbek\",\"doi\":\"10.1093/etojnl/vgaf056\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The experimental design of new approach methodologies (NAMs) might deviate from common ecotoxicological studies, often requiring tailored statistical approaches. 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Unfortunately, in the statistical sections of the test guidelines of the XETA, RADAR and REACTIV assays, it is not clearly recommended to regard this dependency structure, as statistical recommendations using a mixed analysis of variance (ANOVA) are provided only in the annexes. Here, we present xeredar, an open-source R package allowing automated statistical analysis of XETA, RADAR, and REACTIV assays where the dependency structure of the data is correctly regarded through a mixed ANOVA. The xeredar package was validated on 36 XETA ring test studies and further tested on 41 RADAR ring test studies. A power analysis was carried out for the REACTIV assay, demonstrating that ignoring the dependency structure potentially leads to lower power and an increased false-positive rate compared with the mixed ANOVA approach. 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xeredar: An open-source R package for the statistical analysis of endocrine new approach methodologies using fish and amphibian eleutheroembryos.
The experimental design of new approach methodologies (NAMs) might deviate from common ecotoxicological studies, often requiring tailored statistical approaches. For instance, in NAMs developed for the detection of endocrine activity using aquatic vertebrate eleutheroembryos (Xenopus eleutheroembryonic thyroid assay [XETA], rapid androgen disruption activity reporter [RADAR] assay and rapid estrogen activity in vivo [REACTIV] assay), all concentration groups are nested within three independent study repeats, named 'runs' in the relevant test guidelines. Here, runs are referred to as replicates to emphasize their role as the repeated, independent entity. By contrast, for most other ecotoxicological studies, the replicates are nested in the concentration groups. This leads to a different dependency structure for XETA, RADAR, and REACTIV assays. Disregarding this violates the basic statistical requirement for independence of observations potentially leading to incorrect conclusions. Unfortunately, in the statistical sections of the test guidelines of the XETA, RADAR and REACTIV assays, it is not clearly recommended to regard this dependency structure, as statistical recommendations using a mixed analysis of variance (ANOVA) are provided only in the annexes. Here, we present xeredar, an open-source R package allowing automated statistical analysis of XETA, RADAR, and REACTIV assays where the dependency structure of the data is correctly regarded through a mixed ANOVA. The xeredar package was validated on 36 XETA ring test studies and further tested on 41 RADAR ring test studies. A power analysis was carried out for the REACTIV assay, demonstrating that ignoring the dependency structure potentially leads to lower power and an increased false-positive rate compared with the mixed ANOVA approach. The open-source R package xeredar also comes with a Shiny application, making it accessible to everyone and thereby enhancing standardization and reproducibility for the statistical analyses of XETA, RADAR, and REACTIV assays.
期刊介绍:
The Society of Environmental Toxicology and Chemistry (SETAC) publishes two journals: Environmental Toxicology and Chemistry (ET&C) and Integrated Environmental Assessment and Management (IEAM). Environmental Toxicology and Chemistry is dedicated to furthering scientific knowledge and disseminating information on environmental toxicology and chemistry, including the application of these sciences to risk assessment.[...]
Environmental Toxicology and Chemistry is interdisciplinary in scope and integrates the fields of environmental toxicology; environmental, analytical, and molecular chemistry; ecology; physiology; biochemistry; microbiology; genetics; genomics; environmental engineering; chemical, environmental, and biological modeling; epidemiology; and earth sciences. ET&C seeks to publish papers describing original experimental or theoretical work that significantly advances understanding in the area of environmental toxicology, environmental chemistry and hazard/risk assessment. Emphasis is given to papers that enhance capabilities for the prediction, measurement, and assessment of the fate and effects of chemicals in the environment, rather than simply providing additional data. The scientific impact of papers is judged in terms of the breadth and depth of the findings and the expected influence on existing or future scientific practice. Methodological papers must make clear not only how the work differs from existing practice, but the significance of these differences to the field. Site-based research or monitoring must have regional or global implications beyond the particular site, such as evaluating processes, mechanisms, or theory under a natural environmental setting.