Snapshot of the modified implementation from the paper "Sensitivity Analysis to Unobserved Confounders: A Comparative Review to Estimate Confounding Strength in Sensitivity Models", Baitairian et al. (2025).
Bayesian Statistics: Linear Regression and multi-linear models and related concepts (multicollinearity, correlation coefficient etc) on iris dataset in pymc3
Are your employees burning out?
Projects to establish causality and draw reliable conclusions from experimental data.
Tools Finding Confounders
Econometric & spatial EDA of disaster survival on the RMS Titanic (1,305 passengers) in R: deconstructing confounding variables, cabin deck topography, and non-linear family dynamics.
Restoran şube yöneticisi karşılaştırması üzerinden Simpson Paradoksu tespiti: SQL, pandas ve istatistiksel testlerle yanıltıcı İK kararının analizi
What is the causal impact of an intervention?
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