Some statistical memes which sound correct but aren't quite: Application to the analysis of observational databases used in learning health systems
Abstract We consider four memes, correct within the context of randomized trials but requiring modification for the analysis of the observational databases typically associated with learning health systems: (a) the right answer always requires randomization; (b) a bigger database is always a better...
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| Format: | Article |
| Language: | English |
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Wiley
2020-07-01
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| Series: | Learning Health Systems |
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| Online Access: | https://doi.org/10.1002/lrh2.10219 |
| _version_ | 1818573380588142592 |
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| author | Gregory P. Samsa |
| author_facet | Gregory P. Samsa |
| author_sort | Gregory P. Samsa |
| collection | DOAJ |
| description | Abstract We consider four memes, correct within the context of randomized trials but requiring modification for the analysis of the observational databases typically associated with learning health systems: (a) the right answer always requires randomization; (b) a bigger database is always a better database; (c) statistical adjustment always works if based on a large enough database; and (d) always make a formal adjustment when testing multiple hypotheses. The rationale for these memes within the context of randomized trials is discussed, and the memes are restated in a fashion that is consistent with learning health systems. |
| first_indexed | 2024-12-15T00:10:24Z |
| format | Article |
| id | doaj.art-0d1082550de6433c8351eaffe503703b |
| institution | Directory Open Access Journal |
| issn | 2379-6146 |
| language | English |
| last_indexed | 2024-12-15T00:10:24Z |
| publishDate | 2020-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | Learning Health Systems |
| spelling | doaj.art-0d1082550de6433c8351eaffe503703b2022-12-21T22:42:36ZengWileyLearning Health Systems2379-61462020-07-0143n/an/a10.1002/lrh2.10219Some statistical memes which sound correct but aren't quite: Application to the analysis of observational databases used in learning health systemsGregory P. Samsa0Department of Biostatistics and Bioinformatics Duke University Durham North CarolinaAbstract We consider four memes, correct within the context of randomized trials but requiring modification for the analysis of the observational databases typically associated with learning health systems: (a) the right answer always requires randomization; (b) a bigger database is always a better database; (c) statistical adjustment always works if based on a large enough database; and (d) always make a formal adjustment when testing multiple hypotheses. The rationale for these memes within the context of randomized trials is discussed, and the memes are restated in a fashion that is consistent with learning health systems.https://doi.org/10.1002/lrh2.10219learning health systemsobservational studiesrandomized trialsstatistics |
| spellingShingle | Gregory P. Samsa Some statistical memes which sound correct but aren't quite: Application to the analysis of observational databases used in learning health systems Learning Health Systems learning health systems observational studies randomized trials statistics |
| title | Some statistical memes which sound correct but aren't quite: Application to the analysis of observational databases used in learning health systems |
| title_full | Some statistical memes which sound correct but aren't quite: Application to the analysis of observational databases used in learning health systems |
| title_fullStr | Some statistical memes which sound correct but aren't quite: Application to the analysis of observational databases used in learning health systems |
| title_full_unstemmed | Some statistical memes which sound correct but aren't quite: Application to the analysis of observational databases used in learning health systems |
| title_short | Some statistical memes which sound correct but aren't quite: Application to the analysis of observational databases used in learning health systems |
| title_sort | some statistical memes which sound correct but aren t quite application to the analysis of observational databases used in learning health systems |
| topic | learning health systems observational studies randomized trials statistics |
| url | https://doi.org/10.1002/lrh2.10219 |
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