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Several different formulas have been suggested for estimation of GFR using p-creatinine, gender, body weight, height and ethnicity in various combinations [ 22].
5 44 Other equations, such as the Modification of Diet in Renal Disease (MDRD) and the Chronic Kidney Disease Epidemiology Collaboration (CKD-Epi) equations (eGFR presented in relative values (mL/min/1.73 m)), have been suggested for estimation of renal function, partly because the patient's weight is not required.
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The expansion estimator using target inclusion probabilities is suggested for estimation of population parameters.
Recently, numerous biological tests have been suggested for risk estimation in such cases.
A variety of methods have been suggested for the estimation of genomic breeding values.
To accommodate these outliers, some symmetric and long-tailed distributions, such as the Student's- t distribution (Dempster et al., 1980; Lange et al., 1989; Rogers and Tukey, 1972), have been suggested for robust estimation.
Two well-known methods have been suggested for b-value estimations: the least squares and maximum likelihood methods.
A 2-week timeframe has been suggested for presenteeism cost estimations to minimize recall bias of patients and improve generalizability [ 20].
In recent years other estimation procedures have been suggested for confirmatory factor analyses with small numbers of subjects, such as quasi-maximum likelihood in combination with polychoric correlations (Satorra, 1992) [ 19].
Several methods have been suggested for modification of gene specific variances or covariances to improve the estimation.
Special techniques are suggested for robust estimation of priority vectors.
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