Extended Joint Models for Longitudinal and Survival Data
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Updated
Jul 15, 2024 - R
Extended Joint Models for Longitudinal and Survival Data
Joint Models for Longitudinal and Survival Data using MCMC
Joint Models for Longitudinal & Survival Data under Maximum Likelihood
We used different machine learning approaches to build models for detecting and visualizing important prognostic indicators of breast cancer survival rate. This repository contains R source codes for 5 steps which are, model evaluation, Random Forest further modelling, variable importance, decision tree and survival analysis. These can be a pipe…
Predicting chemosensitivity using gene expression
APOLLO is an Accurate and independently validated Prediction mOdel of Lower-grade gLiomas Overall survival
R package frost: prediction of minimum temperature for frost forecasting in agriculture
Neurological Injury Motion Sensing (NIMS) Project
Predict the coronavirus contagion
Build a predictive model for the sale prices of homes in a city and explore potential equity issues with the real-estate assessment process
Immune checkpoint blocakde-related circRNA signature (ICBcircSig) score model based on progression-free survival-related circRNAs to predict immunotherapy efficacy.
Biomarker selection in penalized regression models
Radiomics Analysis of PET/CT Findings with Fludeoxyglucose (18F) as a Biomarker in the Differentiation of Spondylodiscitis and Bone Metastasis in Patients with Focal Lesions in the Spine
Reproduce the results from the paper: "Decision Curve Analysis for Personalized Treatment Choice between Multiple Options. K. Chalkou, et. al. Med Decis Making . 2023 Apr;43(3):337-349. doi: 10.1177/0272989X221143058." This methodological paper describes the methods for evaluating the clinical utility of prediction model with multiple treatments.
PERK
This project is focused on making predictions models of medical insurance premium. By applying a linear regression model and evaluating the model, I will illustrate that whether the predictions model results are accurate and can be used to estimate premium prices in the following year.
Reproduce results feom the paper "A two-stage prediction model for heterogeneous effects of treatments. K. Chalkou, et. al. Statistics in Medicine. 2021 Sep 10;40(20):4362-4375. doi: 10.1002/sim.9034"
🍷 📈 (EDA) R - Vizualization / Performed exploratory analysis and visualization on Red Wine Quality dataset; Mainly answering which chemical properties influence the quality of red wines.
Classification data mining base on naive bayes Algorithm for predicting employee tardiness
Explore and Predict Housing Sales Price in Ames, IA
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