dc.contributor.author |
Wilkinson, J |
|
dc.contributor.author |
Showell, M |
|
dc.contributor.author |
Taxiarchi, VP |
|
dc.contributor.author |
Lensen, S |
|
dc.coverage.spatial |
England |
|
dc.date.accessioned |
2022-07-25T23:15:32Z |
|
dc.date.available |
2022-07-25T23:15:32Z |
|
dc.date.issued |
2022-05 |
|
dc.identifier.citation |
(2022). Human Reproduction, 37(5), 895-901. |
|
dc.identifier.issn |
0268-1161 |
|
dc.identifier.uri |
https://hdl.handle.net/2292/60512 |
|
dc.description.abstract |
Infertility randomized controlled trials (RCTs) are often too small to detect realistic treatment effects. Large observational studies have been proposed as a solution. However, this strategy threatens to weaken the evidence base further, because non-random assignment to treatments makes it impossible to distinguish effects of treatment from confounding factors. Alternative solutions are required. Power in an RCT can be increased by adjusting for prespecified, prognostic covariates when performing statistical analysis, and if stratified randomization or minimization has been used, it is essential to adjust in order to get the correct answer. We present data showing that this simple, free and frequently necessary strategy for increasing power is seldom employed, even in trials appearing in leading journals. We use this article to motivate a pedagogical discussion and provide a worked example. While covariate adjustment cannot solve the problem of underpowered trials outright, there is an imperative to use sound methodology to maximize the information each trial yields. |
|
dc.format.medium |
Print |
|
dc.language |
eng |
|
dc.publisher |
Oxford University Press (OUP) |
|
dc.relation.ispartofseries |
Human reproduction (Oxford, England) |
|
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
|
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
|
dc.rights.uri |
https://creativecommons.org/licenses/by-nc/4.0/ |
|
dc.subject |
Humans |
|
dc.subject |
Infertility |
|
dc.subject |
Prognosis |
|
dc.subject |
Random Allocation |
|
dc.subject |
Research Design |
|
dc.subject |
Computer Simulation |
|
dc.subject |
RCTs |
|
dc.subject |
covariate adjustment |
|
dc.subject |
research methods |
|
dc.subject |
statistics |
|
dc.subject |
Clinical Research |
|
dc.subject |
Clinical Trials and Supportive Activities |
|
dc.subject |
Comparative Effectiveness Research |
|
dc.subject |
Science & Technology |
|
dc.subject |
Life Sciences & Biomedicine |
|
dc.subject |
Obstetrics & Gynecology |
|
dc.subject |
Reproductive Biology |
|
dc.subject |
RANDOMIZED CONTROLLED-TRIALS |
|
dc.subject |
BINARY OUTCOMES |
|
dc.subject |
MARGINAL MODELS |
|
dc.subject |
GUIDELINES |
|
dc.subject |
11 Medical and Health Sciences |
|
dc.subject |
16 Studies in Human Society |
|
dc.title |
Are we leaving money on the table in infertility RCTs? Trialists should statistically adjust for prespecified, prognostic covariates to increase power. |
|
dc.type |
Journal Article |
|
dc.identifier.doi |
10.1093/humrep/deac030 |
|
pubs.issue |
5 |
|
pubs.begin-page |
895 |
|
pubs.volume |
37 |
|
dc.date.updated |
2022-06-07T20:03:52Z |
|
dc.rights.holder |
Copyright: The author |
en |
dc.identifier.pmid |
35199145 (pubmed) |
|
pubs.author-url |
https://www.ncbi.nlm.nih.gov/pubmed/35199145 |
|
pubs.end-page |
901 |
|
pubs.publication-status |
Published |
|
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.subtype |
discussion |
|
pubs.subtype |
Journal Article |
|
pubs.elements-id |
884935 |
|
pubs.org-id |
Medical and Health Sciences |
|
pubs.org-id |
School of Medicine |
|
dc.identifier.eissn |
1460-2350 |
|
dc.identifier.pii |
6535331 |
|
pubs.record-created-at-source-date |
2022-06-08 |
|
pubs.online-publication-date |
2022-02-24 |
|