Alan J. Silman, Gary J. Macfarlane, Tatiana V Macfarlane
{"title":"荟萃分析","authors":"Alan J. Silman, Gary J. Macfarlane, Tatiana V Macfarlane","doi":"10.1093/med/9780198814726.003.0022","DOIUrl":null,"url":null,"abstract":"The previous chapter has discussed how to gather and evaluate existing evidence from epidemiological studies. Here further consideration is given to summarizing the identified evidence in such a way that it can be used for decision-making, including approaches to control for chance and potential bias. Meta-analysis refers to the statistical analysis of results from individual studies for integrating the findings. There are other terms related to meta-analysis such as quantitative review, combined analysis, pooled analysis, or quantitative synthesis. Some of them use different methods, for example, meta-analysis of published data considers each study as a unit of analysis while individual patient data analysis includes the original data from each study on a participant level. This chapter describes how to numerically summarize data through performing a meta-analysis using data from a systematic review of epidemiological studies. It also considers possible bias, reporting guidelines, and statistical software available for meta-analysis.","PeriodicalId":186966,"journal":{"name":"Epidemiological Studies: A Practical Guide","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Meta-analysis\",\"authors\":\"Alan J. Silman, Gary J. Macfarlane, Tatiana V Macfarlane\",\"doi\":\"10.1093/med/9780198814726.003.0022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The previous chapter has discussed how to gather and evaluate existing evidence from epidemiological studies. Here further consideration is given to summarizing the identified evidence in such a way that it can be used for decision-making, including approaches to control for chance and potential bias. Meta-analysis refers to the statistical analysis of results from individual studies for integrating the findings. There are other terms related to meta-analysis such as quantitative review, combined analysis, pooled analysis, or quantitative synthesis. Some of them use different methods, for example, meta-analysis of published data considers each study as a unit of analysis while individual patient data analysis includes the original data from each study on a participant level. This chapter describes how to numerically summarize data through performing a meta-analysis using data from a systematic review of epidemiological studies. It also considers possible bias, reporting guidelines, and statistical software available for meta-analysis.\",\"PeriodicalId\":186966,\"journal\":{\"name\":\"Epidemiological Studies: A Practical Guide\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Epidemiological Studies: A Practical Guide\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/med/9780198814726.003.0022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemiological Studies: A Practical Guide","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/med/9780198814726.003.0022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The previous chapter has discussed how to gather and evaluate existing evidence from epidemiological studies. Here further consideration is given to summarizing the identified evidence in such a way that it can be used for decision-making, including approaches to control for chance and potential bias. Meta-analysis refers to the statistical analysis of results from individual studies for integrating the findings. There are other terms related to meta-analysis such as quantitative review, combined analysis, pooled analysis, or quantitative synthesis. Some of them use different methods, for example, meta-analysis of published data considers each study as a unit of analysis while individual patient data analysis includes the original data from each study on a participant level. This chapter describes how to numerically summarize data through performing a meta-analysis using data from a systematic review of epidemiological studies. It also considers possible bias, reporting guidelines, and statistical software available for meta-analysis.