Transporting observational study results to a target population of interest using inverse odds of participation weighting
Inverse odds of participation weighting (IOPW) has been proposed to transport clinical trial findings to target populations of interest when the distribution of treatment effect modifiers differs between trial and target populations. We set out to apply IOPW to transport results from an observationa...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754161/?tool=EBI |
| _version_ | 1797979766854254592 |
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| author | Albee Y. Ling Rana Jreich Maria E. Montez-Rath Zhaoling Meng Kris Kapphahn Karen J. Chandross Manisha Desai |
| author_facet | Albee Y. Ling Rana Jreich Maria E. Montez-Rath Zhaoling Meng Kris Kapphahn Karen J. Chandross Manisha Desai |
| author_sort | Albee Y. Ling |
| collection | DOAJ |
| description | Inverse odds of participation weighting (IOPW) has been proposed to transport clinical trial findings to target populations of interest when the distribution of treatment effect modifiers differs between trial and target populations. We set out to apply IOPW to transport results from an observational study to a target population of interest. We demonstrated the feasibility of this idea with a real-world example using a nationwide electronic health record derived de-identified database from Flatiron Health. First, we conducted an observational study that carefully adjusted for confounding to estimate the treatment effect of fulvestrant plus palbociclib relative to letrozole plus palbociclib as a second-line therapy among estrogen receptor (ER)-positive, human epidermal growth factor receptor (HER2)-negative metastatic breast cancer patients. Second, we transported these findings to the broader cohort of patients who were eligible for a first-line therapy. The interpretation of the findings and validity of such studies, however, rely on the extent that causal inference assumptions are met. |
| first_indexed | 2024-04-11T05:43:55Z |
| format | Article |
| id | doaj.art-ca9b9c82fd60403faad2e780281f55f6 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-11T05:43:55Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-ca9b9c82fd60403faad2e780281f55f62022-12-22T04:42:19ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-011712Transporting observational study results to a target population of interest using inverse odds of participation weightingAlbee Y. LingRana JreichMaria E. Montez-RathZhaoling MengKris KapphahnKaren J. ChandrossManisha DesaiInverse odds of participation weighting (IOPW) has been proposed to transport clinical trial findings to target populations of interest when the distribution of treatment effect modifiers differs between trial and target populations. We set out to apply IOPW to transport results from an observational study to a target population of interest. We demonstrated the feasibility of this idea with a real-world example using a nationwide electronic health record derived de-identified database from Flatiron Health. First, we conducted an observational study that carefully adjusted for confounding to estimate the treatment effect of fulvestrant plus palbociclib relative to letrozole plus palbociclib as a second-line therapy among estrogen receptor (ER)-positive, human epidermal growth factor receptor (HER2)-negative metastatic breast cancer patients. Second, we transported these findings to the broader cohort of patients who were eligible for a first-line therapy. The interpretation of the findings and validity of such studies, however, rely on the extent that causal inference assumptions are met.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754161/?tool=EBI |
| spellingShingle | Albee Y. Ling Rana Jreich Maria E. Montez-Rath Zhaoling Meng Kris Kapphahn Karen J. Chandross Manisha Desai Transporting observational study results to a target population of interest using inverse odds of participation weighting PLoS ONE |
| title | Transporting observational study results to a target population of interest using inverse odds of participation weighting |
| title_full | Transporting observational study results to a target population of interest using inverse odds of participation weighting |
| title_fullStr | Transporting observational study results to a target population of interest using inverse odds of participation weighting |
| title_full_unstemmed | Transporting observational study results to a target population of interest using inverse odds of participation weighting |
| title_short | Transporting observational study results to a target population of interest using inverse odds of participation weighting |
| title_sort | transporting observational study results to a target population of interest using inverse odds of participation weighting |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754161/?tool=EBI |
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