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  1. Introduction Data Friedman test Aim and hypotheses Assumptions In R With base R With the {rstatix} package Interpretations Post-hoc tests Pairwise Wilcoxon signed-rank tests Nemenyi test Conover test Combination of statistical results and plot Summary Ref…

  2. Introduction Data Aim and hypotheses Assumptions Variable type and design Independence between subjects Normality Sphericity Outliers Repeated measures ANOVA in R With the {rstatix} package With base R Interpretations Post-hoc tests Summary References Int…

  3. Introduction Data Cochran’s Q test Aim and hypotheses Assumptions In R Interpretations Post-hoc tests Summary Introduction In previous articles, we showed how to test whether two qualitative variables are related thanks to the Chi-square test of independe…

  4. McNemar's test in R

    Introduction Data McNemar’s test Aim and hypotheses Assumptions In R Interpretations Summary Introduction In a previous article, we showed how to perform the Chi-square test of independence in R in order to test whether two qualitative variables are relat…

  5. What is EM-DAT?

  6. What Are Bayesian Neural Networks?

  7. Why this post matters What problem {kindling} solves (and what it does not) Setup Three levels of interaction 1) Generate model code (*_generator()) 2) Direct Training 3) ML Framework Integration: {tidymodels} with mlp_kindling() / rnn_kindling() Example…

  8. Background What this study did Main findings Why this matters Acknowledgments References I am happy to share that an article I contributed to has just been published in Vaccine (Truong et al. 2026): Effectiveness of pneumococcal conjugate vaccines against…

  9. Guest post by Christian Martinez, developer of the nycOpenData package in R. nycOpenData: A unified R interface to NYC Open Data APIs I am pleased to announce the release of nycOpenData, an R package providing convenient, tidy access to dozens of datasets…

  10. Why AssociationExplorer?

  11. Code of Conduct

    1.

  12. Motivation Epidemiological delays inform about the time between two well-defined events related to a disease.

  13. I’m happy to share that my latest research paper, “Semi-Markov modeling for disease incidence risk and duration” has been accepted for publication in the journal Biostatistics & Epidemiology (Soetewey et al., 2025).

  14. I am happy to announce that our paper entitled “Right to be forgotten for mortgage insurance issued to cancer survivors: critical assessment and new proposal” has been accepted for publication in European Actuarial Journal (Soetewey et al., 2025).

  15. Motivation Coarse data Simulated example Real data example References Motivation A group of researchers from the Data Science Institute (DSI) at Hasselt University developed a new statistical model to estimate the incubation period of a pathogenic organism

  16. Introduction Linear versus logistic regression Univariable versus multivariable logistic regression Data Binary logistic regression in R Univariable binary logistic regression Quantitative independent variable Qualitative independent variable Multivariable

  17. Introduction How likely is it?

  18. Introduction Data {dplyr} package Filter observations The pipe operator Extract observations Based on their positions Based on their values Sample observations Sort observations Select variables Rename variables Create or modify variables Summarize observ…

  19. I am happy to announce that our paper has been accepted for publication in Nutrients (ISSN 2072-6643) (Houben et al. 2023).

  20. Introduction Data With ties Without ties Correlation coefficients by hand Pearson With and without ties Spearman With ties Without ties Kendall Without ties With ties Verification in R Conclusion Introduction In statistics, a correlation is used to evalua…

  21. Introduction Data and hypotheses ANOVA by hand Overall and group means SSR and SSE ANOVA table Conclusion of the test Conclusion Introduction An ANOVA is a statistical test used to compare a quantitative variable between groups, to determine if there is a…

  22. Introduction Scraping Yahoo search engine results with R Conclusion Note: This is a guest post by Manthan Koolwal, founder of Scrapingdog.

  23. Two-way ANOVA in R

    Introduction Data Aim and hypotheses of a two-way ANOVA Assumptions of a two-way ANOVA Variable type Independence Normality Homogeneity of variances Outliers Two-way ANOVA Preliminary analyses Descriptive statistics Plots Two-way ANOVA in R Pairwise compa…

  24. I am happy to announce that a paper I contributed to has been accepted for publication in Open Forum Infectious Diseases (Truong et al. 2023).

  25. Introduction What types of jobs are available?

  26. Introduction 1.

  27. Web scraping in R

    Introduction HTML and CSS Web scraping vs.

  28. Introduction What is survival analysis?

  29. Introduction Prerequisites Analytics Page views over time Page views per month and year Top performing pages Page views by country Page views per day of week Thank you note Introduction It is almost the end of the year, which means it is time to do a revi…

  30. Introduction Motivation Getting started A simulated example Smoothing the epidemic curve and estimating \(\mathcal{R}_t\) USA hospitalization data Conclusion References Introduction A colleague (and friend) of mine recently published a research paper enti…

  31. Introduction How do I keep track?

  32. Introduction When?

  33. Introduction Before 2022 In 2022 Probabilities computation in R First draw Second draw Third draw Game limited to 3 draws Game limited to 5 draws Game limited to 100 draws Game limited to the number of necessary draws Final winning probabilities Visual re…

  34. I am happy to announce that our paper entitled “Semi-Markov modeling for cancer insurance” has been accepted for publication in the European Actuarial Journal (Soetewey et al. 2022).

  35. Introduction Data Kruskal-Wallis test Aim and hypotheses Assumptions In R Interpretations Post-hoc tests Dunn test Combination of statistical results and plot Summary References Introduction In a previous article, we showed how to do an ANOVA in R to comp…

  36. Introduction Analytics Users and page views Page views over time Page views per channel Page views per day of week and month of year Page views per month and year Top performing pages Page views by country User engagement by devices Browser information End

  37. Introduction Flowchart Notes Conclusion Introduction Being a teaching assistant in statistics for students with diverse backgrounds, I have the chance to see what is globally not well understood by students.

  38. Introduction Simple linear regression: reminder Principle Equation Interpretations of coefficients \(\widehat\beta\) Another interpretation of the intercept Significance of the relationship Correlation does not imply causation Conditions of application Vi…

  39. Introduction Running pace calculator How to use it?

  40. Hypothesis test by hand

    Descriptive versus inferential statistics Motivations and limitations Hypothesis test Why?

  41. Introduction Prerequisites Analytics Users, page views and sessions Sessions over time Sessions per channel Sessions per day of week Sessions per day and time Sessions per month and year Top performing pages Time-normalized page views Page views by country

  42. I am happy to announce that our paper entitled “Waiting period from diagnosis for mortgage insurance issued to cancer survivors” has been published in the European Actuarial Journal (Soetewey et al. 2021).

  43. ANOVA in R

    Introduction Data Aim and hypotheses of ANOVA Underlying assumptions of ANOVA Variable type Independence Normality Equality of variances - homogeneity Another method to test normality and homogeneity Outliers ANOVA Preliminary analyses ANOVA in R Interpre…

  44. #1 Learn by writing #2 Get feedback #3 Personal note to remind my future self #4 Contribute to the open source community #5 Stay humble, stay curious #6 Learn to be less perfectionist and to prioritize #7 Build connections and professional relationships H…

  45. Introduction Data Basic principles of {ggplot2} Create plots with {ggplot2} Scatter plot Line plot Combination of line and points Histogram Density plot Combination of histogram and densities Dotplot Boxplot Barplot Raincloud plot Further personalization…

  46. Introduction Mortgage calculator How to use the mortgage calculator?

  47. Outliers detection in R

    Introduction Descriptive statistics Minimum and maximum Histogram Boxplot Percentiles Z-scores Hampel filter Statistical tests Grubbs’s test Dixon’s test Rosner’s test Additional remarks Conclusion References Introduction An outlier is a value or an obser…

  48. Introduction Two different scenarios Independent samples Paired samples Combination of plot and statistical test Independent samples Paired samples Assumption of equal variances Conclusion References Introduction In a previous article, we showed how to co…

  49. Introduction Prerequisite Step-by-step guide Additional notes Settings of your app Publish your dataset Conclusion Introduction The COVID-19 virus led many people to create interactive apps and dashboards.

  50. Introduction Data Correlation coefficient Between two variables Correlation matrix: correlations for all variables Interpretation of a correlation coefficient Visualizations A scatterplot for 2 variables Scatterplots for several pairs of variables Another…