Development and validation of a clinical prediction model for poor ovarian response in assisted reproductive technology.

The Post-LASSO refit logistic regression model (using the one standard error of minimum lambda criterion) retained age, AMH, basal FSH, BMI, antral follicle count, and history of ovarian surgery as predictor variables ( Supplementary Table 4 ), although age and history of ovarian surgery did not reach statistical significance in the final logistic regression model.

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