{"title":"研究设计、数据分析和报告中常见陷阱的简短列表。","authors":"Maarten van Smeden","doi":"10.22454/PRiMER.2022.511416","DOIUrl":null,"url":null,"abstract":"Performing scientiHc research without falling victim to one of the many research design, analysis, and reporting pitfalls can be challenging. As a medical statistician with research experience in a variety of medical disciplines, I regularly come across (and sometimes have been the cause of) avoidable errors and inaccuracies. Without such errors, research would, at the very least, be more informative to the readership of the research manuscript. In this article I present a short, nonexhaustive list of issues to consider.","PeriodicalId":74494,"journal":{"name":"PRiMER (Leawood, Kan.)","volume":" ","pages":"26"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477699/pdf/primer-6-26.pdf","citationCount":"1","resultStr":"{\"title\":\"A Very Short List of Common Pitfalls in Research Design, Data Analysis, and Reporting.\",\"authors\":\"Maarten van Smeden\",\"doi\":\"10.22454/PRiMER.2022.511416\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Performing scientiHc research without falling victim to one of the many research design, analysis, and reporting pitfalls can be challenging. As a medical statistician with research experience in a variety of medical disciplines, I regularly come across (and sometimes have been the cause of) avoidable errors and inaccuracies. Without such errors, research would, at the very least, be more informative to the readership of the research manuscript. In this article I present a short, nonexhaustive list of issues to consider.\",\"PeriodicalId\":74494,\"journal\":{\"name\":\"PRiMER (Leawood, Kan.)\",\"volume\":\" \",\"pages\":\"26\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477699/pdf/primer-6-26.pdf\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PRiMER (Leawood, Kan.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22454/PRiMER.2022.511416\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PRiMER (Leawood, Kan.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22454/PRiMER.2022.511416","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
A Very Short List of Common Pitfalls in Research Design, Data Analysis, and Reporting.
Performing scientiHc research without falling victim to one of the many research design, analysis, and reporting pitfalls can be challenging. As a medical statistician with research experience in a variety of medical disciplines, I regularly come across (and sometimes have been the cause of) avoidable errors and inaccuracies. Without such errors, research would, at the very least, be more informative to the readership of the research manuscript. In this article I present a short, nonexhaustive list of issues to consider.