Biostatistics 203B Project 4

Last updated on Mar 21, 2022
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This project was the final assignment for Biostatistics 203B: Introduction to Data Science in Winter Quarter 2022.

The topics were related to imputation methods and prediction approaches, such as the logistic regression (glm()), logistic regression with lasso penalty (glmnet), random forest, and neural network using keras.

imputation method logistic regression deep learning (keras) random forest neural network R
Tomoki Okuno
Tomoki Okuno
PhD student in Biostatistics

My research interests include longevity, that is, extending healthy lifespan by slowing, stopping, and even reversing the aging process.