Love plot: Assessing Effectiveness of Propensity Score Matching
For this project, I created a love plot to assess the covariate balance between treatment and control groups in a sample dataset (synthetic) called “reiner”. The goal was to get the absolute mean differences below 0.2 for all variables in the table. As the plot shows, the matching was successful in achieving covariate balance on the two problem variables, age and income.
2) Gen model
Phenotype: SM300-Efficiency Model: Random Forest Significance: No Data: 54 SNP's Purpose: Create a model for each gene (total of 54).