{"title":"剂量反应曲线","authors":"R. Mendelsohn","doi":"10.4324/9780429351389-5","DOIUrl":null,"url":null,"abstract":"When we graph the dose of a substance and the percentage of a population that responds to that dose, the result is called the dose-response curve. The x-axis is the dose, typically in a logarithmic scale. This means units on the x-axis increase by a power of 10, allowing us to compare a very wide range of doses on a single graph. The y-axis is the response, or the percentage of subjects that show a response.","PeriodicalId":384645,"journal":{"name":"Towards Efficient Regulation of Air Pollution from Coal-Fired Power Plants","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Dose Response Curves\",\"authors\":\"R. Mendelsohn\",\"doi\":\"10.4324/9780429351389-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When we graph the dose of a substance and the percentage of a population that responds to that dose, the result is called the dose-response curve. The x-axis is the dose, typically in a logarithmic scale. This means units on the x-axis increase by a power of 10, allowing us to compare a very wide range of doses on a single graph. The y-axis is the response, or the percentage of subjects that show a response.\",\"PeriodicalId\":384645,\"journal\":{\"name\":\"Towards Efficient Regulation of Air Pollution from Coal-Fired Power Plants\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Towards Efficient Regulation of Air Pollution from Coal-Fired Power Plants\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4324/9780429351389-5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Towards Efficient Regulation of Air Pollution from Coal-Fired Power Plants","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4324/9780429351389-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
When we graph the dose of a substance and the percentage of a population that responds to that dose, the result is called the dose-response curve. The x-axis is the dose, typically in a logarithmic scale. This means units on the x-axis increase by a power of 10, allowing us to compare a very wide range of doses on a single graph. The y-axis is the response, or the percentage of subjects that show a response.
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