A bias-adjusted evidence synthesis of RCT and observational data: the case of total hip replacement: Evidence Synthesis of RCT and Observational Data. Schnell-Inderst, P., Iglesias, C. P., Arvandi, M., Ciani, O., Matteucci Gothe, R., Peters, J., Blom, A. W., Taylor, R. S., & Siebert, U. Health Economics, 26:46–69, February, 2017. ![A bias-adjusted evidence synthesis of RCT and observational data: the case of total hip replacement: Evidence Synthesis of RCT and Observational Data [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Evaluation of clinical effectiveness of medical devices differs in some aspects from the evaluation of pharmaceuticals. One of the main challenges identified is lack of robust evidence and a will to make use of experimental and observational studies (OSs) in quantitative evidence synthesis accounting for internal and external biases. Using a case study of total hip replacement to compare the risk of revision of cemented and uncemented implant fixation modalities, we pooled treatment effect estimates from OS and RCTs, and simplified existing methods for bias-adjusted evidence synthesis to enhance practical application.
@article{schnell-inderst_bias-adjusted_2017-1,
title = {A bias-adjusted evidence synthesis of {RCT} and observational data: the case of total hip replacement: {Evidence} {Synthesis} of {RCT} and {Observational} {Data}},
volume = {26},
issn = {10579230},
shorttitle = {A bias-adjusted evidence synthesis of {RCT} and observational data},
url = {http://doi.wiley.com/10.1002/hec.3474},
doi = {10.1002/hec.3474},
abstract = {Evaluation of clinical effectiveness of medical devices differs in some aspects from the evaluation of pharmaceuticals. One of the main challenges identified is lack of robust evidence and a will to make use of experimental and observational studies (OSs) in quantitative evidence synthesis accounting for internal and external biases. Using a case study of total hip replacement to compare the risk of revision of cemented and uncemented implant fixation modalities, we pooled treatment effect estimates from OS and RCTs, and simplified existing methods for bias-adjusted evidence synthesis to enhance practical application.},
language = {en},
urldate = {2019-05-02},
journal = {Health Economics},
author = {Schnell-Inderst, Petra and Iglesias, Cynthia P. and Arvandi, Marjan and Ciani, Oriana and Matteucci Gothe, Raffaella and Peters, Jaime and Blom, Ashley W. and Taylor, Rod S. and Siebert, Uwe},
month = feb,
year = {2017},
pages = {46--69},
file = {Schnell-Inderst et al. - 2017 - A bias-adjusted evidence synthesis of RCT and obse.pdf:/Users/neil.hawkins/Zotero/storage/GZK22M86/Schnell-Inderst et al. - 2017 - A bias-adjusted evidence synthesis of RCT and obse.pdf:application/pdf;Schnell-Inderst et al. - 2017 - A bias-adjusted evidence synthesis of RCT and obse.pdf:/Users/neil.hawkins/Zotero/storage/NDMTMR3Q/Schnell-Inderst et al. - 2017 - A bias-adjusted evidence synthesis of RCT and obse.pdf:application/pdf},
}
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