Ehud Karavani
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(12)
causal inference
(7)
deep learning
(2)
genetics
(1)
machine learning
(3)
meta-science
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statistics
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study design
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Blog
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Uncertainty-aware model comparison
Comparing model performance rigorously and meaningfully using statistics.
machine learning
deep learning
statistics
meta-science
Aug 30, 2024
20 min
Oui-Love Plots: Outcome-informed Love plots for covariate balance in causal inference
Augmenting the good old Love plot by incorporating covariate-outcome importance measures.
causal inference
visualization
Apr 20, 2024
6 min
Sequential trial design for causal inference
Aligning time-zero to reduce time-related biases by taking simplest solution possible and awkwardly repeating it until it’s great.
causal inference
study design
Oct 24, 2023
19 min
Hello Quarto!
I made a personal website. With blogs and stuff.
Jul 15, 2023
6 min
Causal inference is a mindset
Causal inference from observational data is a mindset, not a set of tools.
causal inference
Jan 4, 2023
3 min
Causal Inference with Continuous Treatments
Generalizing inverse probability weights for non-categorical treatments.
causal inference
Nov 2, 2022
14 min
Why we care for covariate balancing in comparative studies
Balancing variables in statistical comparative analysis is a proxy, not a goal.
causal inference
Nov 20, 2021
7 min
A visual way to think of macro and micro averages in classification metrics
Explaining what macro-average and micro-average metrics are.
machine learning
visualization
Sep 4, 2021
4 min
Using machine learning metrics to evaluate causal inference models
Reinterpreting known machine learning evaluations from a causal inference perspective, focusing on ROC curves for propensity models.
causal inference
machine learning
Dec 28, 2020
10 min
The case against Agile research
Ever popular iterative development approaches can sneak in unconscious-bias that can be harmful to the scientific process.
meta-science
Jul 6, 2020
5 min
Solving Simpson’s Paradox with Inverse Probability Weighting
A visual intuition on how the most popular method in causal-inference works, and how it solves one of the most popular paradoxes in statistics.
causal inference
statistics
Feb 2, 2020
12 min
Applying Deep Learning to Genetic Prediction
What classical methods for obtaining polygenic (risk) scores lack, and how deep learning might help mitigated these shortcomings.
genetics
deep learning
May 5, 2018
18 min
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