Analysis Notes
Purpose
Maintain an ongoing log of analytical decisions, roadblocks, or changes to the plan.
Details
2023-10-01: Commenced initial descriptive statistics on the synthetic dataset. No missing data identified (as expected, given the controlled synthetic generation process).
2023-10-05: Fitted the initial multivariable logistic model. Checked VIFs; all were < 2.0, indicating no severe multicollinearity between the simulated predictors (e.g., lead_time_days and previous_missed are largely independent in this dataset).
2023-10-10: Finalized the interpretation. Model results align with the original parameters programmed into the synthetic data generator.
Applied Practice & Innovation: During the analysis phase, an AI assistant was used momentarily to recall the exact syntax for extracting VIF scores in R (car::vif()). This accelerated the workflow but did not alter the analytic decisions.