Sentence examples for mean score method from inspiring English sources

Like the mean score method, this method of analysis uses an estimated score function.

We explore the relationships between the mean score method, IPW and AIPW with some interesting findings.

The proposed method generalizes the mean score method of Reilly and Pepe (Biometrika 82 (1995) 299) in two ways.

Despite its greater applicability, this new approach retains many of the consistency properties of the mean score method.

We explore the relationships between the mean score method, the inverse probability weighting (IPW) method and the augmented inverse probability weighted (AIPW) method with some interesting findings.

In this paper, we investigated the mean score method, the IPW method and the AIPW method for the parametric probability regression model P β (Y|X) when outcome of interest Y is subject to missingness.

The results of Proposition 1 are very intriguing since research has shown that the AIPW and the mean score methods are more efficient than the IPW method.

Often, the more negative result is coded 0 (negative response), thus: (4) One of the most commonly used methods of imputation in PRO is the Personal Mean Score (PMS) method which involves imputing a missing value using the average score of the individual on the observed responses (rounded to the nearest integer) [ 16, 17].

As highlighted in other studies [ 14, 15], these results emphasize the limitations of the personal mean score imputation method, despite the fact that it is the most commonly used technique for computing scores.

MCII cut-points for HOOS based on the mean score change method and the hip-specific anchor question "Overall, how are the problems in your hip now compared to preoperatively?" were 24 (CI: 21 29) for HOOS Pain, 23 (CI: 19 30) for HOOS-PS, and 17 (CI: 13 21) for HOOS QoL (Table 2).

The individual scores given by the listeners were then aggregated into a single mean score for each method, which shows global preference of one method against all the others.