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- Publisher Website: 10.1002/sim.4003
- Scopus: eid_2-s2.0-84858008939
- PMID: 21344469
- WOS: WOS:000301121900004
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Article: Evaluating traditional Chinese medicine using modern clinical trial design and statistical methodology: Application to a randomized controlled acupuncture trial
Title | Evaluating traditional Chinese medicine using modern clinical trial design and statistical methodology: Application to a randomized controlled acupuncture trial |
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Authors | |
Keywords | Accelerated failure time model Acupuncture Blinding in randomized clinical trials Postoperative dental pain Traditional Chinese medicine (TCM) |
Issue Date | 2012 |
Publisher | John Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0277-6715/ |
Citation | Statistics In Medicine, 2012, v. 31 n. 7, p. 619-627 How to Cite? |
Abstract | Traditional Chinese medicine (TCM), used in China and other Asian counties for thousands of years, is increasingly utilized in Western countries. However, due to inherent differences in how Western medicine and this ancient modality are practiced, employing the so-called Western medicine-based gold standard research methods to evaluate TCM is challenging. This paper is a discussion of the obstacles inherent in the design and statistical analysis of clinical trials of TCM. It is based on our experience in designing and conducting a randomized controlled clinical trial of acupuncture for post-operative dental pain control in which acupuncture was shown to be statistically and significantly better than placebo in lengthening the median survival time to rescue drug. We demonstrate here that PH assumptions in the common Cox model did not hold in that trial and that TCM trials warrant more thoughtful modeling and more sophisticated models of statistical analysis. TCM study design entails all the challenges encountered in trials of drugs, devices, and surgical procedures in the Western medicine. We present possible solutions to some but leave many issues unresolved. © 2011 John Wiley & Sons, Ltd. |
Persistent Identifier | http://hdl.handle.net/10722/188643 |
ISSN | 2023 Impact Factor: 1.8 2023 SCImago Journal Rankings: 1.348 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Lao, L | en_US |
dc.contributor.author | Huang, Y | en_US |
dc.contributor.author | Feng, C | en_US |
dc.contributor.author | Berman, BM | en_US |
dc.contributor.author | Tan, MT | en_US |
dc.date.accessioned | 2013-09-03T04:10:46Z | - |
dc.date.available | 2013-09-03T04:10:46Z | - |
dc.date.issued | 2012 | en_US |
dc.identifier.citation | Statistics In Medicine, 2012, v. 31 n. 7, p. 619-627 | en_US |
dc.identifier.issn | 0277-6715 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/188643 | - |
dc.description.abstract | Traditional Chinese medicine (TCM), used in China and other Asian counties for thousands of years, is increasingly utilized in Western countries. However, due to inherent differences in how Western medicine and this ancient modality are practiced, employing the so-called Western medicine-based gold standard research methods to evaluate TCM is challenging. This paper is a discussion of the obstacles inherent in the design and statistical analysis of clinical trials of TCM. It is based on our experience in designing and conducting a randomized controlled clinical trial of acupuncture for post-operative dental pain control in which acupuncture was shown to be statistically and significantly better than placebo in lengthening the median survival time to rescue drug. We demonstrate here that PH assumptions in the common Cox model did not hold in that trial and that TCM trials warrant more thoughtful modeling and more sophisticated models of statistical analysis. TCM study design entails all the challenges encountered in trials of drugs, devices, and surgical procedures in the Western medicine. We present possible solutions to some but leave many issues unresolved. © 2011 John Wiley & Sons, Ltd. | en_US |
dc.language | eng | en_US |
dc.publisher | John Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0277-6715/ | en_US |
dc.relation.ispartof | Statistics in Medicine | en_US |
dc.subject | Accelerated failure time model | - |
dc.subject | Acupuncture | - |
dc.subject | Blinding in randomized clinical trials | - |
dc.subject | Postoperative dental pain | - |
dc.subject | Traditional Chinese medicine (TCM) | - |
dc.subject.mesh | Acupuncture Therapy - Statistics & Numerical Data | en_US |
dc.subject.mesh | Data Interpretation, Statistical | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Medicine, Chinese Traditional | en_US |
dc.subject.mesh | Randomized Controlled Trials As Topic - Statistics & Numerical Data | en_US |
dc.subject.mesh | Research Design - Statistics & Numerical Data | en_US |
dc.subject.mesh | Toothache - Therapy | en_US |
dc.title | Evaluating traditional Chinese medicine using modern clinical trial design and statistical methodology: Application to a randomized controlled acupuncture trial | en_US |
dc.type | Article | en_US |
dc.identifier.email | Lao, L: lxlao1@hku.hk | en_US |
dc.identifier.authority | Lao, L=rp01784 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1002/sim.4003 | en_US |
dc.identifier.pmid | 21344469 | - |
dc.identifier.scopus | eid_2-s2.0-84858008939 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-84858008939&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 31 | en_US |
dc.identifier.issue | 7 | en_US |
dc.identifier.spage | 619 | en_US |
dc.identifier.epage | 627 | en_US |
dc.identifier.isi | WOS:000301121900004 | - |
dc.publisher.place | United Kingdom | en_US |
dc.identifier.scopusauthorid | Lao, L=7005681883 | en_US |
dc.identifier.scopusauthorid | Huang, Y=37064693100 | en_US |
dc.identifier.scopusauthorid | Feng, C=37030801100 | en_US |
dc.identifier.scopusauthorid | Berman, BM=35458606800 | en_US |
dc.identifier.scopusauthorid | Tan, MT=7401464906 | en_US |
dc.identifier.issnl | 0277-6715 | - |