https://www.selleckchem.com/products/unc0631.html
We use Monte-Carlo simulations to evaluate our newly proposed methods relative to established MI procedures, focusing on estimation of treatment group means and their variances after MI. RESULTS The proposed PMM procedures reduce the bias in the MI variance estimator relative to established methods when the imputation model is correctly specified, and are generally more robust to model misspecification than even the random effects imputation methods. CONCLUSIONS The PMM-draw procedure in particular is a promising method for multiply imp
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