---
title: "Machine Learning for Biostatistics"
author: "Jaroslaw Harezlak & Armando Teixeira-Pinto"
date: "2024-07-11T02:59:21Z"
tags: [Machine Learning, Statistics, Package]
link: "https://bookdown.org/andrew_grant/Beyond-Linearity/"
length_weight: "3.9%"
pinned: false
---

Machine Learning for Biostatistics [...] This module will cover methods to explore non-linear effects of numerical
predictors on the outcome. By the end of this module you should be able to: The dataset triceps is available in the MultiKink package.
You may install.packages("MultiKink"), load the library (library(MultiKink))
and then run data("triceps"). The data are derived from an anthropometric study of 892 females under 50 years
in three Gambian villages in West Africa. There are 892 observations
on the following 3 variables: The data SA_heart.csv
is retrospective sample of males in a ...
