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- Publisher Website: 10.1016/j.cct.2019.105875
- Scopus: eid_2-s2.0-85074360260
- PMID: 31676313
- WOS: WOS:000501656300001
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Article: Biostatistics pitfalls: Lessons learned from analysis of medical data
Title | Biostatistics pitfalls: Lessons learned from analysis of medical data |
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Authors | |
Keywords | Data analysis Model assumption RMST |
Issue Date | 2019 |
Publisher | Elsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/conclintrial |
Citation | Contemporary Clinical Trials, 2019, v. 87, p. article no. 105875 How to Cite? |
Abstract | In several recent issues of The Lancet, we identified a few common pitfalls in the analysis of clinical trial and medical data in the published articles (Mok et al., 2019; Herrlinger et al., 2019; Reindl-Schwaighofer et al., 2019; He et al., 2019). Without careful validation of model assumptions, even the primary endpoint of the trial might be analyzed using improper statistical methods. We carried out an in-depth analysis of the statistical issues in four real clinical trials, which highlights the importance of statistics in the medical field. With every effort, biostatisticians need to work with clinicians closely to take the most appropriate statistical approaches to data analysis; otherwise the conclusions drawn from the data might be problematic or misleading. |
Persistent Identifier | http://hdl.handle.net/10722/288178 |
ISSN | 2023 Impact Factor: 2.0 2023 SCImago Journal Rankings: 0.980 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Yin, G | - |
dc.contributor.author | ZHANG, C | - |
dc.contributor.author | YANG, Z | - |
dc.date.accessioned | 2020-10-05T12:09:01Z | - |
dc.date.available | 2020-10-05T12:09:01Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Contemporary Clinical Trials, 2019, v. 87, p. article no. 105875 | - |
dc.identifier.issn | 1551-7144 | - |
dc.identifier.uri | http://hdl.handle.net/10722/288178 | - |
dc.description.abstract | In several recent issues of The Lancet, we identified a few common pitfalls in the analysis of clinical trial and medical data in the published articles (Mok et al., 2019; Herrlinger et al., 2019; Reindl-Schwaighofer et al., 2019; He et al., 2019). Without careful validation of model assumptions, even the primary endpoint of the trial might be analyzed using improper statistical methods. We carried out an in-depth analysis of the statistical issues in four real clinical trials, which highlights the importance of statistics in the medical field. With every effort, biostatisticians need to work with clinicians closely to take the most appropriate statistical approaches to data analysis; otherwise the conclusions drawn from the data might be problematic or misleading. | - |
dc.language | eng | - |
dc.publisher | Elsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/conclintrial | - |
dc.relation.ispartof | Contemporary Clinical Trials | - |
dc.subject | Data analysis | - |
dc.subject | Model assumption | - |
dc.subject | RMST | - |
dc.title | Biostatistics pitfalls: Lessons learned from analysis of medical data | - |
dc.type | Article | - |
dc.identifier.email | Yin, G: gyin@hku.hk | - |
dc.identifier.authority | Yin, G=rp00831 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.cct.2019.105875 | - |
dc.identifier.pmid | 31676313 | - |
dc.identifier.scopus | eid_2-s2.0-85074360260 | - |
dc.identifier.hkuros | 315652 | - |
dc.identifier.volume | 87 | - |
dc.identifier.spage | article no. 105875 | - |
dc.identifier.epage | article no. 105875 | - |
dc.identifier.isi | WOS:000501656300001 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1551-7144 | - |