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causal inference
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Kaplan Meier and the Log-Rank Test
statistics
survival analysis
The log-rank statistic models random variation in the survival statistics of a population due to finite sampling effects.
Mar 21, 2024
4 min
Hyperparameter Optimization and Propensity Score Matching
machine learning
causal inference
propensity score
Despite the intimidating names given to methods like
tree-structured Parzen estimation
, hyperparameter optimization algorithms are extremely intuitive and easy to understand.
Aug 12, 2023
14 min
Regularization as a Feature Selection Method
machine learning
logistic regression
Often thought of as a method to prevent overfitting, regularization can also be used to select the most important features from a model.
Jun 7, 2023
7 min
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