Epi Data Science

Clostridium difficile Predictor App

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About Me

David Nichols: In addition to 40 years of experience in clinical medicine and orthopedic surgery, I am certified in public health (MPH - epidemiology). I have a strong interest in data science, especially in predictive modeling. I am proficient in R and have done many projects in data science. I would like to participate in medical and public health projects requiring an interest in data science.

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Ozone Production - Data Download and Cleaning
Ozone Production - Data Exploration and Analysis
Kaggle - Employee Attrition
Clostridium difficile Predictor App

Labels

Bayesian (1) Categorical Data (1) causal inference (1) Challenger (1) cirrhosis (1) Clinic (1) directed acyclic graph (1) Epidemiology (1) Hazard (1) Hospital Committees (1) Hospitals (1) Imputation (2) missing data (2) Missing Values (1) O-rings (1) observational (1) propensity score (1) Radiologist (1) random imputation (2) Risk Management (1) Risk of Infection (1) Space Shuttle (1) survival (1) Uncertainty (1)

Blog Archive

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December 2017 (2)
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My Blog List

R-bloggers

Rethinking How I Do Supervised Topic Modeling, Using ModernBERT and GPT-4o mini
Shirin's playgRound

Blockchain & distributed ML - my report from the data2day conference

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