Lithium in Drinking Water and Incidence of Suicide: A Nationwide Individual-Level Cohort Study with 22 Years of Follow-Up
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- Lee, Duncan, 2013. "CARBayes: An R Package for Bayesian Spatial Modeling with Conditional Autoregressive Priors," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 55(i13).
- Håvard Rue & Sara Martino & Nicolas Chopin, 2009. "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 319-392, April.
- Martins, Thiago G. & Simpson, Daniel & Lindgren, Finn & Rue, Håvard, 2013. "Bayesian computing with INLA: New features," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 68-83.
- Norio Sugawara & Norio Yasui-Furukori & Nobuyoshi Ishii & Noboru Iwata & Takeshi Terao, 2013. "Lithium in Tap Water and Suicide Mortality in Japan," IJERPH, MDPI, vol. 10(11), pages 1-5, November.
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- Denitza Dimitrova Voutchkova & Birgitte Hansen & Vibeke Ernstsen & Søren Munch Kristiansen, 2018. "Nationwide Drinking Water Sampling Campaign for Exposure Assessments in Denmark," IJERPH, MDPI, vol. 15(3), pages 1-15, March.
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