James Azam
@jamesazam.bsky.social
Research Fellow analysing multi-pathogen wastewater data and developing maths/stats models for polio eradication. Previously RSE at Epiverse TRACE Initiative. https://jamesmbaazam.github.io/ #rstats
Bring it all together with... (3/3)
- Gabry, J., Simpson, D., Vehtari, A., Betancourt, M., & Gelman, A. (2019). Visualization in Bayesian Workflow. Journal of the Royal Statistical Society Series A: Statistics in Society, 182(2), 389–402. doi.org/10.1111/rssa...
- Gabry, J., Simpson, D., Vehtari, A., Betancourt, M., & Gelman, A. (2019). Visualization in Bayesian Workflow. Journal of the Royal Statistical Society Series A: Statistics in Society, 182(2), 389–402. doi.org/10.1111/rssa...
Visualization in Bayesian Workflow
Abstract. Bayesian data analysis is about more than just computing a posterior distribution, and Bayesian visualization is about more than trace plots of M
doi.org
October 20, 2025 at 11:51 AM
Bring it all together with... (3/3)
- Gabry, J., Simpson, D., Vehtari, A., Betancourt, M., & Gelman, A. (2019). Visualization in Bayesian Workflow. Journal of the Royal Statistical Society Series A: Statistics in Society, 182(2), 389–402. doi.org/10.1111/rssa...
- Gabry, J., Simpson, D., Vehtari, A., Betancourt, M., & Gelman, A. (2019). Visualization in Bayesian Workflow. Journal of the Royal Statistical Society Series A: Statistics in Society, 182(2), 389–402. doi.org/10.1111/rssa...
Bring it all together with... (2/3)
- Gelman, A., Vehtari, A., Simpson, D., Margossian, C. C., Carpenter, B., Yao, Y., Kennedy, L., Gabry, J., Bürkner, P.-C., & Modrák, M. (2020). Bayesian Workflow (No. arXiv:2011.01808). arXiv. arxiv.org/abs/2011.01808
- Gelman, A., Vehtari, A., Simpson, D., Margossian, C. C., Carpenter, B., Yao, Y., Kennedy, L., Gabry, J., Bürkner, P.-C., & Modrák, M. (2020). Bayesian Workflow (No. arXiv:2011.01808). arXiv. arxiv.org/abs/2011.01808
Bayesian Workflow
The Bayesian approach to data analysis provides a powerful way to handle uncertainty in all observations, model parameters, and model structure using probability theory. Probabilistic programming lang...
arxiv.org
October 20, 2025 at 11:51 AM
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- Gelman, A., Vehtari, A., Simpson, D., Margossian, C. C., Carpenter, B., Yao, Y., Kennedy, L., Gabry, J., Bürkner, P.-C., & Modrák, M. (2020). Bayesian Workflow (No. arXiv:2011.01808). arXiv. arxiv.org/abs/2011.01808
- Gelman, A., Vehtari, A., Simpson, D., Margossian, C. C., Carpenter, B., Yao, Y., Kennedy, L., Gabry, J., Bürkner, P.-C., & Modrák, M. (2020). Bayesian Workflow (No. arXiv:2011.01808). arXiv. arxiv.org/abs/2011.01808
Bring it all together with... (1/3)
- Schad, D. J., Betancourt, M., & Vasishth, S. (2020). Toward a principled Bayesian workflow in cognitive science (No. arXiv:1904.12765). arXiv. arxiv.org/abs/1904.12765
- Schad, D. J., Betancourt, M., & Vasishth, S. (2020). Toward a principled Bayesian workflow in cognitive science (No. arXiv:1904.12765). arXiv. arxiv.org/abs/1904.12765
Toward a principled Bayesian workflow in cognitive science
Experiments in research on memory, language, and in other areas of cognitive science are increasingly being analyzed using Bayesian methods. This has been facilitated by the development of probabilist...
arxiv.org
October 20, 2025 at 11:51 AM
Bring it all together with... (1/3)
- Schad, D. J., Betancourt, M., & Vasishth, S. (2020). Toward a principled Bayesian workflow in cognitive science (No. arXiv:1904.12765). arXiv. arxiv.org/abs/1904.12765
- Schad, D. J., Betancourt, M., & Vasishth, S. (2020). Toward a principled Bayesian workflow in cognitive science (No. arXiv:1904.12765). arXiv. arxiv.org/abs/1904.12765
Expand your knowledge with... (3/3)
- Veenman, M., Stefan, A. M., & Haaf, J. M. (2023). Bayesian hierarchical modeling: An introduction and reassessment. Behavior Research Methods. doi.org/10.3758/s134...
- Veenman, M., Stefan, A. M., & Haaf, J. M. (2023). Bayesian hierarchical modeling: An introduction and reassessment. Behavior Research Methods. doi.org/10.3758/s134...
Bayesian hierarchical modeling: an introduction and reassessment - Behavior Research Methods
With the recent development of easy-to-use tools for Bayesian analysis, psychologists have started to embrace Bayesian hierarchical modeling. Bayesian hierarchical models provide an intuitive account ...
doi.org
October 20, 2025 at 11:51 AM
Expand your knowledge with... (3/3)
- Veenman, M., Stefan, A. M., & Haaf, J. M. (2023). Bayesian hierarchical modeling: An introduction and reassessment. Behavior Research Methods. doi.org/10.3758/s134...
- Veenman, M., Stefan, A. M., & Haaf, J. M. (2023). Bayesian hierarchical modeling: An introduction and reassessment. Behavior Research Methods. doi.org/10.3758/s134...
Expand your knowledge with... (2/3)
- Lemoine, N. P. (2019). Moving beyond noninformative priors: Why and how to choose weakly informative priors in Bayesian analyses. Oikos, 128(7), 912–928. doi.org/10.1111/oik....
- Lemoine, N. P. (2019). Moving beyond noninformative priors: Why and how to choose weakly informative priors in Bayesian analyses. Oikos, 128(7), 912–928. doi.org/10.1111/oik....
Moving beyond noninformative priors: why and how to choose weakly informative priors in Bayesian analyses
Throughout the last two decades, Bayesian statistical methods have proliferated throughout ecology and evolution. Numerous previous references established both philosophical and computational guideli...
doi.org
October 20, 2025 at 11:51 AM
Expand your knowledge with... (2/3)
- Lemoine, N. P. (2019). Moving beyond noninformative priors: Why and how to choose weakly informative priors in Bayesian analyses. Oikos, 128(7), 912–928. doi.org/10.1111/oik....
- Lemoine, N. P. (2019). Moving beyond noninformative priors: Why and how to choose weakly informative priors in Bayesian analyses. Oikos, 128(7), 912–928. doi.org/10.1111/oik....
Expand your knowledge with... (1/3)
- Säilynoja, T., Johnson, A. R., Martin, O. A., & Vehtari, A. (2025). Recommendations for visual predictive checks in Bayesian workflow (No. arXiv:2503.01509). arXiv. doi.org/10.48550/arX...
- Säilynoja, T., Johnson, A. R., Martin, O. A., & Vehtari, A. (2025). Recommendations for visual predictive checks in Bayesian workflow (No. arXiv:2503.01509). arXiv. doi.org/10.48550/arX...
Recommendations for visual predictive checks in Bayesian workflow
A key step in the Bayesian workflow for model building is the graphical assessment of model predictions, whether these are drawn from the prior or posterior predictive distribution. The goal of these ...
doi.org
October 20, 2025 at 11:51 AM
Expand your knowledge with... (1/3)
- Säilynoja, T., Johnson, A. R., Martin, O. A., & Vehtari, A. (2025). Recommendations for visual predictive checks in Bayesian workflow (No. arXiv:2503.01509). arXiv. doi.org/10.48550/arX...
- Säilynoja, T., Johnson, A. R., Martin, O. A., & Vehtari, A. (2025). Recommendations for visual predictive checks in Bayesian workflow (No. arXiv:2503.01509). arXiv. doi.org/10.48550/arX...
Start with... (7/7)
- Nicenboim, B., & Vasishth, S. (2016). Statistical methods for linguistic research: Foundational Ideas—Part II. Language and Linguistics Compass, 10(11), 591–613.
- Nicenboim, B., & Vasishth, S. (2016). Statistical methods for linguistic research: Foundational Ideas—Part II. Language and Linguistics Compass, 10(11), 591–613.
October 20, 2025 at 11:51 AM
Start with... (7/7)
- Nicenboim, B., & Vasishth, S. (2016). Statistical methods for linguistic research: Foundational Ideas—Part II. Language and Linguistics Compass, 10(11), 591–613.
- Nicenboim, B., & Vasishth, S. (2016). Statistical methods for linguistic research: Foundational Ideas—Part II. Language and Linguistics Compass, 10(11), 591–613.
Start with... (6/7)
- Goligher, E. C., Heath, A., & Harhay, M. O. (2024). Bayesian statistics for clinical research. The Lancet, 404(10457), 1067–1076. doi.org/10.1016/S014...
- Goligher, E. C., Heath, A., & Harhay, M. O. (2024). Bayesian statistics for clinical research. The Lancet, 404(10457), 1067–1076. doi.org/10.1016/S014...
Redirecting
doi.org
October 20, 2025 at 11:51 AM
Start with... (6/7)
- Goligher, E. C., Heath, A., & Harhay, M. O. (2024). Bayesian statistics for clinical research. The Lancet, 404(10457), 1067–1076. doi.org/10.1016/S014...
- Goligher, E. C., Heath, A., & Harhay, M. O. (2024). Bayesian statistics for clinical research. The Lancet, 404(10457), 1067–1076. doi.org/10.1016/S014...
Start with... (5/7)
- van de Schoot, R., Depaoli, S., King, R., Kramer, B., Märtens, K., Tadesse, M. G., Vannucci, M., Gelman, A., Veen, D., Willemsen, J., & Yau, C. (2021). Bayesian statistics and modelling. Nature Reviews Methods Primers, 1(1), 1–26. doi.org/10.1038/s435...
- van de Schoot, R., Depaoli, S., King, R., Kramer, B., Märtens, K., Tadesse, M. G., Vannucci, M., Gelman, A., Veen, D., Willemsen, J., & Yau, C. (2021). Bayesian statistics and modelling. Nature Reviews Methods Primers, 1(1), 1–26. doi.org/10.1038/s435...
Bayesian statistics and modelling - Nature Reviews Methods Primers
This Primer on Bayesian statistics summarizes the most important aspects of determining prior distributions, likelihood functions and posterior distributions, in addition to discussing different appli...
doi.org
October 20, 2025 at 11:51 AM
Start with... (5/7)
- van de Schoot, R., Depaoli, S., King, R., Kramer, B., Märtens, K., Tadesse, M. G., Vannucci, M., Gelman, A., Veen, D., Willemsen, J., & Yau, C. (2021). Bayesian statistics and modelling. Nature Reviews Methods Primers, 1(1), 1–26. doi.org/10.1038/s435...
- van de Schoot, R., Depaoli, S., King, R., Kramer, B., Märtens, K., Tadesse, M. G., Vannucci, M., Gelman, A., Veen, D., Willemsen, J., & Yau, C. (2021). Bayesian statistics and modelling. Nature Reviews Methods Primers, 1(1), 1–26. doi.org/10.1038/s435...
Start with... (4/7)
- Vasishth, S., Nicenboim, B., Beckman, M. E., Li, F., & Kong, E. J. (2018). Bayesian data analysis in the phonetic sciences: A tutorial introduction. Journal of Phonetics, 71, 147–161. doi.org/10.1016/j.wo...
- Vasishth, S., Nicenboim, B., Beckman, M. E., Li, F., & Kong, E. J. (2018). Bayesian data analysis in the phonetic sciences: A tutorial introduction. Journal of Phonetics, 71, 147–161. doi.org/10.1016/j.wo...
Redirecting
doi.org
October 20, 2025 at 11:51 AM
Start with... (4/7)
- Vasishth, S., Nicenboim, B., Beckman, M. E., Li, F., & Kong, E. J. (2018). Bayesian data analysis in the phonetic sciences: A tutorial introduction. Journal of Phonetics, 71, 147–161. doi.org/10.1016/j.wo...
- Vasishth, S., Nicenboim, B., Beckman, M. E., Li, F., & Kong, E. J. (2018). Bayesian data analysis in the phonetic sciences: A tutorial introduction. Journal of Phonetics, 71, 147–161. doi.org/10.1016/j.wo...
Start with... (3/7)
- Etz, A., Gronau, Q. F., Dablander, F., Edelsbrunner, P. A., & Baribault, B. (2018). How to become a Bayesian in eight easy steps: An annotated reading list. Psychonomic Bulletin & Review, 25(1), 219–234. doi.org/10.3758/s134...
- Etz, A., Gronau, Q. F., Dablander, F., Edelsbrunner, P. A., & Baribault, B. (2018). How to become a Bayesian in eight easy steps: An annotated reading list. Psychonomic Bulletin & Review, 25(1), 219–234. doi.org/10.3758/s134...
How to become a Bayesian in eight easy steps: An annotated reading list - Psychonomic Bulletin & Review
In this guide, we present a reading list to serve as a concise introduction to Bayesian data analysis. The introduction is geared toward reviewers, editors, and interested researchers who are new to B...
doi.org
October 20, 2025 at 11:51 AM
Start with... (3/7)
- Etz, A., Gronau, Q. F., Dablander, F., Edelsbrunner, P. A., & Baribault, B. (2018). How to become a Bayesian in eight easy steps: An annotated reading list. Psychonomic Bulletin & Review, 25(1), 219–234. doi.org/10.3758/s134...
- Etz, A., Gronau, Q. F., Dablander, F., Edelsbrunner, P. A., & Baribault, B. (2018). How to become a Bayesian in eight easy steps: An annotated reading list. Psychonomic Bulletin & Review, 25(1), 219–234. doi.org/10.3758/s134...
Start with... (2/7)
- Kruschke, J. K., & Liddell, T. M. (2018). Bayesian data analysis for newcomers. Psychonomic Bulletin & Review, 25(1), 155–177. doi.org/10.3758/s134...
- Kruschke, J. K., & Liddell, T. M. (2018). Bayesian data analysis for newcomers. Psychonomic Bulletin & Review, 25(1), 155–177. doi.org/10.3758/s134...
Bayesian data analysis for newcomers - Psychonomic Bulletin & Review
This article explains the foundational concepts of Bayesian data analysis using virtually no mathematical notation. Bayesian ideas already match your intuitions from everyday reasoning and from tradit...
doi.org
October 20, 2025 at 11:51 AM
Start with... (2/7)
- Kruschke, J. K., & Liddell, T. M. (2018). Bayesian data analysis for newcomers. Psychonomic Bulletin & Review, 25(1), 155–177. doi.org/10.3758/s134...
- Kruschke, J. K., & Liddell, T. M. (2018). Bayesian data analysis for newcomers. Psychonomic Bulletin & Review, 25(1), 155–177. doi.org/10.3758/s134...
Start with... (1/7)
- Etz, A. (2018). Introduction to the Concept of Likelihood and Its Applications. Advances in Methods and Practices in Psychological Science, 1(1), 60–69. doi.org/10.1177/2515...
doi.org/10.1111/lnc3...
- Etz, A. (2018). Introduction to the Concept of Likelihood and Its Applications. Advances in Methods and Practices in Psychological Science, 1(1), 60–69. doi.org/10.1177/2515...
doi.org/10.1111/lnc3...
Introduction to the Concept of Likelihood and Its Applications - Alexander Etz, 2018
This Tutorial explains the statistical concept known as likelihood and discusses how it underlies common frequentist and Bayesian statistical methods. The artic...
doi.org
October 20, 2025 at 11:51 AM
Start with... (1/7)
- Etz, A. (2018). Introduction to the Concept of Likelihood and Its Applications. Advances in Methods and Practices in Psychological Science, 1(1), 60–69. doi.org/10.1177/2515...
doi.org/10.1111/lnc3...
- Etz, A. (2018). Introduction to the Concept of Likelihood and Its Applications. Advances in Methods and Practices in Psychological Science, 1(1), 60–69. doi.org/10.1177/2515...
doi.org/10.1111/lnc3...
It covers everything from introductions to methods, results, tables/figures, discussions, journal choice, and even how to respond to reviewers.
If you’re writing, teaching, or mentoring, this is gold.
(3/3)
If you’re writing, teaching, or mentoring, this is gold.
(3/3)
September 13, 2025 at 11:23 AM
It covers everything from introductions to methods, results, tables/figures, discussions, journal choice, and even how to respond to reviewers.
If you’re writing, teaching, or mentoring, this is gold.
(3/3)
If you’re writing, teaching, or mentoring, this is gold.
(3/3)
Its strengths are:
- Clear & simple
- 1-page papers with checklists
- Useful for any field
- Perfect for teaching & refreshing
(2/3)
- Clear & simple
- 1-page papers with checklists
- Useful for any field
- Perfect for teaching & refreshing
(2/3)
September 13, 2025 at 11:23 AM
Its strengths are:
- Clear & simple
- 1-page papers with checklists
- Useful for any field
- Perfect for teaching & refreshing
(2/3)
- Clear & simple
- 1-page papers with checklists
- Useful for any field
- Perfect for teaching & refreshing
(2/3)
@seabbs.bsky.social Isn't this the dream for all our users?
September 13, 2025 at 11:15 AM
@seabbs.bsky.social Isn't this the dream for all our users?
I could curate that for you.
September 13, 2025 at 11:11 AM
I could curate that for you.
5. Nature Methods – Statistics for Biologists / Points of Significance
www.nature.com/collections/...
Great primers on error bars, power, regression, correlation vs causation, and visualisation.
www.nature.com/collections/...
Great primers on error bars, power, regression, correlation vs causation, and visualisation.
Statistics for Biologists
A collection of articles from the publisher of Nature that discusses statistical issues biologists should be aware of and provides practical advice to improve the statistical rigor and reproducibility...
www.nature.com
September 10, 2025 at 3:47 PM
5. Nature Methods – Statistics for Biologists / Points of Significance
www.nature.com/collections/...
Great primers on error bars, power, regression, correlation vs causation, and visualisation.
www.nature.com/collections/...
Great primers on error bars, power, regression, correlation vs causation, and visualisation.
4. The Lancet’s Epidemiology Series 2005
www.thelancet.com/series-do/ep...
Goes deeper into sample size, controls, likelihood ratios, and multiplicity in trials.
www.thelancet.com/series-do/ep...
Goes deeper into sample size, controls, likelihood ratios, and multiplicity in trials.
Epidemiology 2005
Appropriate sample sizing, selection of controls in case-control studies, and clear end-points and interpretation of subgroup analyses are crucial for robust epidemiological research.
www.thelancet.com
September 10, 2025 at 3:47 PM
4. The Lancet’s Epidemiology Series 2005
www.thelancet.com/series-do/ep...
Goes deeper into sample size, controls, likelihood ratios, and multiplicity in trials.
www.thelancet.com/series-do/ep...
Goes deeper into sample size, controls, likelihood ratios, and multiplicity in trials.
3. The Lancet’s Epidemiology Series 2002
www.thelancet.com/series-do/ep...
Introduces study designs, bias, cohort & case-control studies, randomisation, blinding, and screening.
www.thelancet.com/series-do/ep...
Introduces study designs, bias, cohort & case-control studies, randomisation, blinding, and screening.
Epidemiology 2002
Increasing demands on the time of clinicians today reduce their opportunities to stay abreast of medical literature, and many report that they cannot read the literature critically. Information on res...
www.thelancet.com
September 10, 2025 at 3:47 PM
3. The Lancet’s Epidemiology Series 2002
www.thelancet.com/series-do/ep...
Introduces study designs, bias, cohort & case-control studies, randomisation, blinding, and screening.
www.thelancet.com/series-do/ep...
Introduces study designs, bias, cohort & case-control studies, randomisation, blinding, and screening.