Repository for third tutorial book titled "Introduction to Data Analysis and Graphics using R"
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Updated
Jul 31, 2017 - HTML
Repository for third tutorial book titled "Introduction to Data Analysis and Graphics using R"
R package for `Dynamic Regression with Recurrent Events'
A 20m presentation showing the concepts behind oblique random survival forest and some of its recent applications.
Code Release for "Estimating Calibrated Individualized Survival Curves with Deep Learning" (Kamran & Wiens), AAAI 2021. https://www.aaai.org/AAAI21Papers/AAAI-8472.KamranF.pdf
Replication syntax for Öney Flores 2019
Assessing the effacy of a leukemia treatment on for expanding the remission time of patients / Evaluation de l'efficacité d'un traitement contre la leucémie pour prolonger le temps de rémission des patients
Estimation based on catalytic prior and synthetic data
COX PROPORTIONAL HAZARD SURVIVAL REGRESSION ANALYSIS USING THE EFRON METHOD
Survival Analysis with the Shifted Beta Geometric model
Time series forecasting occurs when you make scientific predictions based on historical time stamped data. It involves building models through historical analysis and using them to make observations and drive future strategic decision-making. An important distinction in forecasting is that at the time of the work, the future outcome is completel…
Implemented Survival Analysis methods to understand Customer Churn in the telecom industry. Also identified variables that greatly affected customer churn!
Use of clinical EHR data and codelists to investigate all-cause mortality between proton pump inhibitor (PPI) and histamine H2-receptor antagonist (H2RA) exposure groups.
Material from the great IBM MOOC on time series forecasting with python available through Coursera
Code repository for the paper entitled "Segmentation-Free Outcome Prediction in Head and Neck Cancer: Deep Learning-based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs) of PET Images" submitted to the European Journal of Nuclear Medicine and Medical Imaging
machine learning with python
Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions 💊
Tutorial on survival analysis using TensorFlow.
Survival Analysis studies with python
Quantitative Methods for Studying Elites: Demonstration for R
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