NullAudit

Analyze missing data patterns to determine if data is missing at random

Data & AnalyticsFree

NullAudit examines missing data patterns in datasets to classify missingness as MCAR, MAR, or MNAR using Little's test, logistic regression diagnostics, and pattern visualization. The tool recommends appropriate imputation strategies based on the missingness mechanism and simulates the impact of different imputation choices on downstream analysis results. Researchers use it before running statistical analyses to ensure their handling of missing data does not introduce bias.

Key Features

• ✓Missingness classification
• ✓Little's MCAR test
• ✓Imputation strategy recommendations
• ✓Bias impact simulation
• ✓Pattern visualization