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NSAPH-Software · Apr 15, 2024 · 017524b · 017524b
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -15,7 +15,7 @@ Authors@R: c(
            role=c("aut"),     
            comment = c(ORCID = "0000-0002-5177-8598", AFFILIATION="HSPH")))
 Maintainer: Boyu Ren <[email protected]>
-Description: Provides a non-parametric Bayesian framework based on Gaussian process priors for estimating causal effects of a continuous exposure and detecting change points in the causal exposure response curves using observational data. Ren, B., Wu, X., Braun, D., Pillai, N., & Dominici, F.(2021). "Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes." arXiv preprint <doi:10.48550/arXiv:2105.03454>.
+Description: Provides a non-parametric Bayesian framework based on Gaussian process priors for estimating causal effects of a continuous exposure and detecting change points in the causal exposure response curves using observational data. Ren, B., Wu, X., Braun, D., Pillai, N., & Dominici, F.(2021). "Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes." arXiv preprint <doi:10.48550/arXiv.2105.03454>.
 License: GPL (>= 3)
 Language: en-US
 URL: https://github.com/NSAPH-Software/GPCERF

diff --git a/README.md b/README.md
@@ -208,4 +208,4 @@ If you encounter any issues with GPCERF, we kindly ask you to report them on our
 
 ## References
 
-Ren, B., Wu, X., Braun, D., Pillai, N. and Dominici, F., 2021. Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes. arXiv preprint <doi:10.48550/arXiv:2105.03454>.
+Ren, B., Wu, X., Braun, D., Pillai, N. and Dominici, F., 2021. Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes. arXiv preprint <doi:10.48550/arXiv.2105.03454>.
diff --git a/index.md b/index.md
@@ -22,4 +22,4 @@ Provides a non-parametric Bayesian framework based on Gaussian process priors fo
 
 ## References
 
-Ren, B., Wu, X., Braun, D., Pillai, N. and Dominici, F., 2021. Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes. arXiv preprint <doi:10.48550/arXiv:2105.03454>.
+Ren, B., Wu, X., Braun, D., Pillai, N. and Dominici, F., 2021. Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes. arXiv preprint <doi:10.48550/arXiv.2105.03454>.
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Expand Up		@@ -208,4 +208,4 @@ If you encounter any issues with GPCERF, we kindly ask you to report them on our

		## References

		Ren, B., Wu, X., Braun, D., Pillai, N. and Dominici, F., 2021. Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes. arXiv preprint <doi:10.48550/arXiv:2105.03454>.
		Ren, B., Wu, X., Braun, D., Pillai, N. and Dominici, F., 2021. Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes. arXiv preprint <doi:10.48550/arXiv.2105.03454>.
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Expand Up		@@ -22,4 +22,4 @@ Provides a non-parametric Bayesian framework based on Gaussian process priors fo

		## References

		Ren, B., Wu, X., Braun, D., Pillai, N. and Dominici, F., 2021. Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes. arXiv preprint <doi:10.48550/arXiv:2105.03454>.
		Ren, B., Wu, X., Braun, D., Pillai, N. and Dominici, F., 2021. Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes. arXiv preprint <doi:10.48550/arXiv.2105.03454>.