The implementation of LOOCV in epidemiological studies involves the following steps:
1. Data Splitting: For each observation in the dataset, set it aside as the validation set while the rest serve as the training set. 2. Model Training: Train the predictive model using the training set. 3. Validation: Use the validation set to evaluate the model's performance. 4. Repeat: Repeat steps 1-3 for each observation in the dataset. 5. Aggregate Results: Compute the overall performance metric, such as accuracy, sensitivity, or specificity, by averaging the results across all iterations.
