Open medewitt opened 4 years ago
https://david-salazar.github.io/2020/06/04/varying-effects-for-continuous-predictors/
http://dirk.eddelbuettel.com/blog/2020/05/07/#rcpp_announce_talk_20200605
https://david-salazar.github.io/2020/06/03/bayesian-instrumental-variable-regression/
http://hbiostat.org/doc/rms/4day.html
http://brunaw.com/julia-tutorial/slides/julia.html#6
https://pedrohcgs.github.io/posts/Spanish_flu
https://github.com/c2-d2/CoV-seasonality/blob/master/2020.03.04%20CoV%20seasonality%20-%20for%20Git%20-%20v01.R
https://thecoatlessprofessor.com/programming/cpp/r-compiler-tools-for-rcpp-on-macos/
https://datavizm20.classes.andrewheiss.com/example/12-example/
https://bob-carpenter.github.io/diagnostic-testing/
https://www.vox.com/science-and-health/2020/5/20/21257136/covid-19-future-pandemic-chaos
https://committees.parliament.uk/committee/135/science-and-technology-committee-commons/news/146472/committee-writes-to-the%20prime-minister-lessons-learned-so-far-from-the-covid19-pandemic/
https://mdneuzerling.com/post/printing-data-frames-with-metadata/
http://blog.khinsen.net/posts/2020/05/18/an-open-letter-to-software-engineers-criticizing-neil-ferguson-s-epidemics-simulation-code/
https://malco.io/2020/05/16/replicating-an-nyt-table-of-swedish-covid-deaths-with-gt/
https://www.gov.uk/government/news/government-publishes-latest-r-number
https://hopkinsidd.github.io/nCoV-Sandbox/DispersionExploration.html
https://david-salazar.github.io/2020/05/15/statistical-rethinking-week-5-hmc-samples/
https://www.nicholas-ollberding.com/post/an-introduction-to-the-harrell-verse-predictive-modeling-using-the-hmisc-and-rms-packages/
https://www.cdc.gov/eis/field-epi-manual/chapters/Describing-Epi-Data.html
http://staff.math.su.se/hoehle/blog/2020/04/15/effectiveR0.html
https://academic.oup.com/aje/article/188/8/1410/5381900
http://lenkiefer.com/2018/06/10/kalman-filter-for-a-dynamic-linear-model-in-r/
https://www.brodieg.com/2020/05/05/on-nse/
https://github.com/cmmid/covid-uk
http://www.matrixcalculus.org/
https://threadreaderapp.com/thread/1256698322493911041.html
https://ncase.me/covid-19/
https://statmodeling.stat.columbia.edu/2019/12/30/dags-in-stan/
http://www.laurabronner.com/quant-editing
https://fromthebottomoftheheap.net/2020/04/30/rendering-your-readme-with-github-actions/
https://github.com/MilesMcBain/capsule
https://wpinvestigative.github.io/nursing_homes_covid19/index.html
https://www.jhsph.edu/covid-19/articles/10-tips-for-making-sense-of-covid-19-models-for-decision-making.html
https://www.knoxnews.com/story/news/2020/04/29/what-does-mean-when-covid-19-r-naught-low/3034269001/
https://mbjoseph.github.io/posts/2020-04-28-a-step-by-step-guide-to-marginalizing-over-discrete-parameters-for-ecologists-using-stan/
https://www.newyorker.com/magazine/2020/05/04/the-man-who-thought-too-fast
http://www.drizopoulos.com/courses/emc/ep03_%20survival%20analysis%20in%20r%20companion
https://www.washingtonpost.com/health/2020/04/28/coronavirus-cancer-deathrates/
https://github.com/gabriuma/basis_functions_approach_to_GP
https://www.voterstudygroup.org/nationscape
https://jburos.github.io/survivalstan/examples/Example-using-pem_survival_model.html
http://staff.math.su.se/hoehle/blog/2020/03/16/flatteningthecurve.html
http://staff.math.su.se/hoehle/blog/2016/07/19/nowCast.html
https://dataforgood.fb.com/docs/covid19/
https://www.cdc.gov/csels/dsepd/ss1978/index.html
https://ryanpeek.org/2019-04-29-spatial-joins-in-R/
https://www.bbc.com/news/world-us-canada-51835856
https://livestream.com/oxuni/thompson/videos/204239496
http://statnet.org/nme/
https://www.tableau.com/about/blog/2020/4/conversation-epidemiologist-5-things-keep-mind-when-you-look-numbers-covid-19
https://github.com/Priesemann-Group/covid19_inference_forecast
https://github.com/sarahhbellum/NobBS/tree/master/R
https://nextstrain.org/ncov/global?animate=2019-11-26,2020-04-10,0,0,30000&f_country=USA
https://github.com/saudiwin/corona_tscs
https://github.com/mjskay/uncertainty-examples/blob/master/arima.md
https://github.com/agbarnett/COVID
https://github.com/thimotei/CFR_calculation/tree/poisson_GAMs/global_estimates
https://mrc-ide.github.io/covid19estimates/#/
https://aws.amazon.com/blogs/big-data/a-public-data-lake-for-analysis-of-covid-19-data/ https://www.ssc.wisc.edu/~bhansen/econometrics/
https://solomonkurz.netlify.app/post/time-varying-covariates-in-longitudinal-multilevel-models-contain-state-and-trait-level-information-this-includes-binary-variables-too/
https://www.urban.org/research/data-methods/data-analysis/quantitative-data-analysis/microsimulation
https://github.com/mrc-ide/COVID19_CFR_submission/tree/master/R_scripts
https://dreamrs.github.io/apexcharter/
https://blog.ephorie.de/epidemiology-how-contagious-is-novel-coronavirus-2019-ncov
https://blog.ephorie.de/contagiousness-of-covid-19-part-i-improvements-of-mathematical-fitting-guest-post
http://gabgoh.github.io/COVID/index.html
https://rexdouglass.github.io/TIGR/Douglass_2020_How_To_Be_Curious_Instead_of_Contrarian_About_Covid19.nb.html https://pyblp.readthedocs.io/en/stable/tutorial.html
https://blogs.bmj.com/bmjgh/2020/03/24/sex-gender-and-covid-19-disaggregated-data-and-health-disparities/
http://hbiostat.org/proj/covid19/
https://renkun.me/2019/12/11/writing-r-in-vscode-a-fresh-start/
https://gitlab.com/openresearchlabs/probabilistic_data_analysis_2020/
http://inequalityresearch.net/
https://github.com/cboettig/knitcitations
https://macartan.github.io/causalmodels/
https://www.stat.cmu.edu/~cshalizi/ADAfaEPoV/
https://statmodeling.stat.columbia.edu/2020/01/01/progress-in-the-past-decade/
https://fharrell.com/post/classification/
https://katbailey.github.io/post/gaussian-processes-for-dummies/
https://www.ucbbiostat.com/labs
https://fabiandablander.com/r/Law-of-Practice.html
https://vanderlaan-lab.org/2019/12/24/cv-tmle-and-double-machine-learning/
http://mc-stan.org/loo/articles/loo2-large-data.html
https://onlinelibrary.wiley.com/doi/abs/10.1002/pam.22154
https://flowingdata.com/2019/12/16/grid-map-histogram-ggplot/
https://psyc-bayes-notes.netlify.app/
https://github.com/jaytimm/uspoliticalextras
https://datenethikkommission.de/en/
https://blogs.rstudio.com/tensorflow/posts/2019-12-10-variational-gaussian-process/
https://karinknudson.com/dirichletprocesses.html
https://cran.r-project.org/web/packages/MPTmultiverse/vignettes/introduction-bayen_kuhlmann_2011.html
https://ggplot2tutor.com/streetmaps/streetmaps/
https://declaredesign.org/r/fabricatr/articles/other_packages.html
https://plsc-31101.github.io/course/
https://towardsdatascience.com/a-bayesian-approach-to-time-series-forecasting-d97dd4168cb7
https://rafalab.github.io/dsbook/
https://www.bankofengland.co.uk/ccbs/applied-bayesian-econometrics-for-central-bankers-updated-2017
https://mattmasten.github.io/bootcamp/
https://epubs.siam.org/page/EpidemiologyCollection?mobileUi=0&
medewitt
commented
4 years ago medewitt
commented
4 years ago
https://david-salazar.github.io/2020/06/04/varying-effects-for-continuous-predictors/
http://dirk.eddelbuettel.com/blog/2020/05/07/#rcpp_announce_talk_20200605
https://david-salazar.github.io/2020/06/03/bayesian-instrumental-variable-regression/
http://hbiostat.org/doc/rms/4day.html
http://brunaw.com/julia-tutorial/slides/julia.html#6
https://pedrohcgs.github.io/posts/Spanish_flu
https://github.com/c2-d2/CoV-seasonality/blob/master/2020.03.04%20CoV%20seasonality%20-%20for%20Git%20-%20v01.R
https://thecoatlessprofessor.com/programming/cpp/r-compiler-tools-for-rcpp-on-macos/
https://datavizm20.classes.andrewheiss.com/example/12-example/
https://bob-carpenter.github.io/diagnostic-testing/
https://www.vox.com/science-and-health/2020/5/20/21257136/covid-19-future-pandemic-chaos
https://committees.parliament.uk/committee/135/science-and-technology-committee-commons/news/146472/committee-writes-to-the%20prime-minister-lessons-learned-so-far-from-the-covid19-pandemic/
https://mdneuzerling.com/post/printing-data-frames-with-metadata/
http://blog.khinsen.net/posts/2020/05/18/an-open-letter-to-software-engineers-criticizing-neil-ferguson-s-epidemics-simulation-code/
https://malco.io/2020/05/16/replicating-an-nyt-table-of-swedish-covid-deaths-with-gt/
https://www.gov.uk/government/news/government-publishes-latest-r-number
https://hopkinsidd.github.io/nCoV-Sandbox/DispersionExploration.html
https://david-salazar.github.io/2020/05/15/statistical-rethinking-week-5-hmc-samples/
https://www.nicholas-ollberding.com/post/an-introduction-to-the-harrell-verse-predictive-modeling-using-the-hmisc-and-rms-packages/
https://www.cdc.gov/eis/field-epi-manual/chapters/Describing-Epi-Data.html
http://staff.math.su.se/hoehle/blog/2020/04/15/effectiveR0.html
https://academic.oup.com/aje/article/188/8/1410/5381900
http://lenkiefer.com/2018/06/10/kalman-filter-for-a-dynamic-linear-model-in-r/
https://www.brodieg.com/2020/05/05/on-nse/
https://github.com/cmmid/covid-uk
http://www.matrixcalculus.org/
https://threadreaderapp.com/thread/1256698322493911041.html
https://ncase.me/covid-19/
https://statmodeling.stat.columbia.edu/2019/12/30/dags-in-stan/
http://www.laurabronner.com/quant-editing
https://fromthebottomoftheheap.net/2020/04/30/rendering-your-readme-with-github-actions/
https://github.com/MilesMcBain/capsule
https://wpinvestigative.github.io/nursing_homes_covid19/index.html
https://www.jhsph.edu/covid-19/articles/10-tips-for-making-sense-of-covid-19-models-for-decision-making.html
https://www.knoxnews.com/story/news/2020/04/29/what-does-mean-when-covid-19-r-naught-low/3034269001/
https://mbjoseph.github.io/posts/2020-04-28-a-step-by-step-guide-to-marginalizing-over-discrete-parameters-for-ecologists-using-stan/
https://www.newyorker.com/magazine/2020/05/04/the-man-who-thought-too-fast
http://www.drizopoulos.com/courses/emc/ep03_%20survival%20analysis%20in%20r%20companion
https://www.washingtonpost.com/health/2020/04/28/coronavirus-cancer-deathrates/
https://github.com/gabriuma/basis_functions_approach_to_GP
https://www.voterstudygroup.org/nationscape
https://jburos.github.io/survivalstan/examples/Example-using-pem_survival_model.html
http://staff.math.su.se/hoehle/blog/2020/03/16/flatteningthecurve.html
http://staff.math.su.se/hoehle/blog/2020/04/15/effectiveR0.html
http://staff.math.su.se/hoehle/blog/2016/07/19/nowCast.html
https://dataforgood.fb.com/docs/covid19/
https://www.cdc.gov/csels/dsepd/ss1978/index.html
https://ryanpeek.org/2019-04-29-spatial-joins-in-R/
https://www.bbc.com/news/world-us-canada-51835856
https://livestream.com/oxuni/thompson/videos/204239496
http://statnet.org/nme/
https://www.tableau.com/about/blog/2020/4/conversation-epidemiologist-5-things-keep-mind-when-you-look-numbers-covid-19
https://github.com/Priesemann-Group/covid19_inference_forecast
https://github.com/sarahhbellum/NobBS/tree/master/R
https://nextstrain.org/ncov/global?animate=2019-11-26,2020-04-10,0,0,30000&f_country=USA
https://github.com/cmmid/covid-uk
https://github.com/saudiwin/corona_tscs
https://github.com/mjskay/uncertainty-examples/blob/master/arima.md
https://github.com/agbarnett/COVID
https://github.com/thimotei/CFR_calculation/tree/poisson_GAMs/global_estimates
https://mrc-ide.github.io/covid19estimates/#/
https://aws.amazon.com/blogs/big-data/a-public-data-lake-for-analysis-of-covid-19-data/ https://www.ssc.wisc.edu/~bhansen/econometrics/
https://solomonkurz.netlify.app/post/time-varying-covariates-in-longitudinal-multilevel-models-contain-state-and-trait-level-information-this-includes-binary-variables-too/
https://www.urban.org/research/data-methods/data-analysis/quantitative-data-analysis/microsimulation
https://github.com/mrc-ide/COVID19_CFR_submission/tree/master/R_scripts
https://dreamrs.github.io/apexcharter/
https://blog.ephorie.de/epidemiology-how-contagious-is-novel-coronavirus-2019-ncov
https://blog.ephorie.de/contagiousness-of-covid-19-part-i-improvements-of-mathematical-fitting-guest-post
http://gabgoh.github.io/COVID/index.html
https://rexdouglass.github.io/TIGR/Douglass_2020_How_To_Be_Curious_Instead_of_Contrarian_About_Covid19.nb.html https://pyblp.readthedocs.io/en/stable/tutorial.html
https://blogs.bmj.com/bmjgh/2020/03/24/sex-gender-and-covid-19-disaggregated-data-and-health-disparities/
http://hbiostat.org/proj/covid19/
https://renkun.me/2019/12/11/writing-r-in-vscode-a-fresh-start/
https://gitlab.com/openresearchlabs/probabilistic_data_analysis_2020/
http://inequalityresearch.net/
https://github.com/cboettig/knitcitations
https://macartan.github.io/causalmodels/
https://www.stat.cmu.edu/~cshalizi/ADAfaEPoV/
https://statmodeling.stat.columbia.edu/2020/01/01/progress-in-the-past-decade/
https://fharrell.com/post/classification/
https://katbailey.github.io/post/gaussian-processes-for-dummies/
https://www.ucbbiostat.com/labs
https://fabiandablander.com/r/Law-of-Practice.html
https://vanderlaan-lab.org/2019/12/24/cv-tmle-and-double-machine-learning/
http://mc-stan.org/loo/articles/loo2-large-data.html
https://onlinelibrary.wiley.com/doi/abs/10.1002/pam.22154
https://flowingdata.com/2019/12/16/grid-map-histogram-ggplot/
https://psyc-bayes-notes.netlify.app/
https://github.com/jaytimm/uspoliticalextras
https://datenethikkommission.de/en/
https://blogs.rstudio.com/tensorflow/posts/2019-12-10-variational-gaussian-process/
https://karinknudson.com/dirichletprocesses.html
https://cran.r-project.org/web/packages/MPTmultiverse/vignettes/introduction-bayen_kuhlmann_2011.html
https://ggplot2tutor.com/streetmaps/streetmaps/
https://declaredesign.org/r/fabricatr/articles/other_packages.html
https://plsc-31101.github.io/course/
https://towardsdatascience.com/a-bayesian-approach-to-time-series-forecasting-d97dd4168cb7
https://rafalab.github.io/dsbook/
https://www.bankofengland.co.uk/ccbs/applied-bayesian-econometrics-for-central-bankers-updated-2017
https://mattmasten.github.io/bootcamp/