{"title":"混合方法综合的贝叶斯方法","authors":"L. Roever","doi":"10.15761/crt.1000269","DOIUrl":null,"url":null,"abstract":"Received: July 09, 2019; Accepted: August 02, 2019; Published: August 06, 2019 Bayesian methods generate summative statements of the evidence through the meta-aggregation of data, and this can involve attributing a numerical value to all qualitative data, facilitating a final statistical analysis of individual syntheses (i.e. translating qualitative data into quantitative), or attributing a qualitative thematic description to all quantitative data, thereby permitting a final meta-aggregation of individual syntheses (i.e. translating quantitative data into qualitative) (Table 1) [1-4].","PeriodicalId":90808,"journal":{"name":"Clinical research and trials","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bayesian methods for mixed method synthesis\",\"authors\":\"L. Roever\",\"doi\":\"10.15761/crt.1000269\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Received: July 09, 2019; Accepted: August 02, 2019; Published: August 06, 2019 Bayesian methods generate summative statements of the evidence through the meta-aggregation of data, and this can involve attributing a numerical value to all qualitative data, facilitating a final statistical analysis of individual syntheses (i.e. translating qualitative data into quantitative), or attributing a qualitative thematic description to all quantitative data, thereby permitting a final meta-aggregation of individual syntheses (i.e. translating quantitative data into qualitative) (Table 1) [1-4].\",\"PeriodicalId\":90808,\"journal\":{\"name\":\"Clinical research and trials\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical research and trials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15761/crt.1000269\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical research and trials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15761/crt.1000269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Received: July 09, 2019; Accepted: August 02, 2019; Published: August 06, 2019 Bayesian methods generate summative statements of the evidence through the meta-aggregation of data, and this can involve attributing a numerical value to all qualitative data, facilitating a final statistical analysis of individual syntheses (i.e. translating qualitative data into quantitative), or attributing a qualitative thematic description to all quantitative data, thereby permitting a final meta-aggregation of individual syntheses (i.e. translating quantitative data into qualitative) (Table 1) [1-4].