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@@ -24,6 +24,37 @@ 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
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@article{Banerjee2022,
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author = {Banerjee, Soumya and Sofack, Ghislain and Papakonstantinou, Thodoris and Avraam, Demetris and Burton, Paul and Z{\"{o}}ller, Daniela and Bishop, Tom RP},
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doi = {10.1101/2022.01.04.471418},
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journal = {bioRxiv},
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month = {jan},
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pages = {2022.01.04.471418},
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publisher = {Cold Spring Harbor Laboratory},
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title = {{dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD}},
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year = {2022}
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}
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```
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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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## 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)
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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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and the following
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https://www.biorxiv.org/content/10.1101/2022.01.04.471418v2
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dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD
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https://doi.org/10.1101/2022.01.04.471418
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https://www.biorxiv.org/content/10.1101/2022.01.04.471418v1
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https://bmcresnotes.biomedcentral.com/articles/10.1186/s13104-022-06085-1
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https://doi.org/10.1101/2022.01.04.471418
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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
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@article{Banerjee2022,
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author = {Banerjee, Soumya and Sofack, Ghislain and Papakonstantinou, Thodoris and Avraam, Demetris and Burton, Paul and Z{\"{o}}ller, Daniela and Bishop, Tom RP},
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doi = {10.1101/2022.01.04.471418},
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journal = {bioRxiv},
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month = {jan},
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pages = {2022.01.04.471418},
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publisher = {Cold Spring Harbor Laboratory},
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title = {{dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD}},
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year = {2022}
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}
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```

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