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@@ -24,6 +24,36 @@ DataSHIELD has a client-server architecture and this package has a client side a | |
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If you use the code, please cite the following manuscript: | ||
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Banerjee S, Sofack G, Papakonstantinou T, Avraam D, Burton P, et al. (2022), dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD, bioRxiv: 2022.01.04.471418. | ||
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https://www.biorxiv.org/content/10.1101/2022.01.04.471418v2 | ||
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https://doi.org/10.1101/2022.01.04.471418 | ||
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https://bmcresnotes.biomedcentral.com/articles/10.1186/s13104-022-06085-1 | ||
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A bib file is available here: | ||
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https://github.com/neelsoumya/dsSurvival/blob/main/CITATION.bib | ||
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```bibtex | ||
@article{Banerjee2022, | ||
author = {Banerjee, Soumya and Sofack, Ghislain and Papakonstantinou, Thodoris and Avraam, Demetris and Burton, Paul and Z{\"{o}}ller, Daniela and Bishop, Tom RP}, | ||
doi = {10.1101/2022.01.04.471418}, | ||
journal = {bioRxiv}, | ||
month = {jan}, | ||
pages = {2022.01.04.471418}, | ||
publisher = {Cold Spring Harbor Laboratory}, | ||
title = {{dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD}}, | ||
year = {2022} | ||
} | ||
``` | ||
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## Bookdown | ||
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The complete bookdown, tutorial, vignette with executable code and synthetic data is available here: | ||
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@@ -151,15 +181,32 @@ [email protected] | |
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## Citation | ||
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If you use this code, please cite the following DOI | ||
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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4806588.svg)](https://doi.org/10.5281/zenodo.4806588) | ||
If you use the code, please cite the following manuscript: | ||
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and the following | ||
Banerjee S, Sofack G, Papakonstantinou T, Avraam D, Burton P, et al. (2022), dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD, bioRxiv: 2022.01.04.471418. | ||
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dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD | ||
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https://www.biorxiv.org/content/10.1101/2022.01.04.471418v1 | ||
https://www.biorxiv.org/content/10.1101/2022.01.04.471418v2 | ||
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https://doi.org/10.1101/2022.01.04.471418 | ||
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https://bmcresnotes.biomedcentral.com/articles/10.1186/s13104-022-06085-1 | ||
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A bib file is available here: | ||
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https://github.com/neelsoumya/dsSurvival/blob/main/CITATION.bib | ||
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```bibtex | ||
@article{Banerjee2022, | ||
author = {Banerjee, Soumya and Sofack, Ghislain and Papakonstantinou, Thodoris and Avraam, Demetris and Burton, Paul and Z{\"{o}}ller, Daniela and Bishop, Tom RP}, | ||
doi = {10.1101/2022.01.04.471418}, | ||
journal = {bioRxiv}, | ||
month = {jan}, | ||
pages = {2022.01.04.471418}, | ||
publisher = {Cold Spring Harbor Laboratory}, | ||
title = {{dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD}}, | ||
year = {2022} | ||
} | ||
``` |