{"title":"观察研究：避免常见统计陷阱的实用技巧","authors":"Anna Freni Sterrantino","doi":"10.1016/j.lansea.2024.100415","DOIUrl":null,"url":null,"abstract":"<div><p>This Personal View is intended for early-career researchers who are not yet experts in statistics. The Personal View focuses on common but usually avoidable flaws in the context of observational studies. I point out how study design, data collection, and statistical methods impact statistical results and research conclusions. With particular attention to study planning, sample selection, biases, lack of transparency and results misinterpretations.</p></div>","PeriodicalId":75136,"journal":{"name":"The Lancet regional health. Southeast Asia","volume":"25 ","pages":"Article 100415"},"PeriodicalIF":5.0000,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772368224000659/pdfft?md5=6559a3da2b3e56f434cc29711a421238&pid=1-s2.0-S2772368224000659-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Observational studies: practical tips for avoiding common statistical pitfalls\",\"authors\":\"Anna Freni Sterrantino\",\"doi\":\"10.1016/j.lansea.2024.100415\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This Personal View is intended for early-career researchers who are not yet experts in statistics. The Personal View focuses on common but usually avoidable flaws in the context of observational studies. I point out how study design, data collection, and statistical methods impact statistical results and research conclusions. With particular attention to study planning, sample selection, biases, lack of transparency and results misinterpretations.</p></div>\",\"PeriodicalId\":75136,\"journal\":{\"name\":\"The Lancet regional health. Southeast Asia\",\"volume\":\"25 \",\"pages\":\"Article 100415\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2024-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2772368224000659/pdfft?md5=6559a3da2b3e56f434cc29711a421238&pid=1-s2.0-S2772368224000659-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Lancet regional health. Southeast Asia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772368224000659\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Lancet regional health. Southeast Asia","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772368224000659","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Observational studies: practical tips for avoiding common statistical pitfalls
This Personal View is intended for early-career researchers who are not yet experts in statistics. The Personal View focuses on common but usually avoidable flaws in the context of observational studies. I point out how study design, data collection, and statistical methods impact statistical results and research conclusions. With particular attention to study planning, sample selection, biases, lack of transparency and results misinterpretations.
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