Computer Science
6 years ago

New Method Reduces Standard Error in Hypercholesterolemia Patient Data Analysis

Indonesian Journal of Applied Statistics
Bootstrap Residual Ensemble Methods for Estimation of Standard Error of Parameter Logistic Regression To Hypercolesterolemia Patient Data In Health Laboratory Yogyakarta
Fransiska Grace S.W., Sri Handajani, Titin Sri Martini

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The researchers used a method called bootstrap resampling to estimate the standard error of logistic regression parameters for hypercholesterolemic patient data. By resampling small data samples, they were able to get a more accurate estimate that represents the entire population. The results showed that after using bootstrap resampling, the standard error of the logistic regression parameters decreased, indicating a more precise estimation.