After estimating the posterior distribution, a point estimate is selected to represent the source position.
The state estimate is generated by a weighted sum of the estimates produced by the bank of observers and the parameter estimate is selected to be the one that corresponds to the weighted signal with the largest value.
This estimate was selected because it was the first index available for multivariate data [8] and has been used in some empirical studies, e.g. [37].
In cases such as these, only one estimate was selected per period using the following pre-specified criteria, which were developed to minimize variability between estimates for comparative purposes.
All studies included adjusted for age; when studies reported more than one adjusted estimate, the multivariate adjusted estimate was selected (i.e., if a study reported either age adjusted or age, gender and smoking adjusted results, the latter was chosen).
If multiple risk estimates were presented in a given manuscript, the unadjusted estimate was selected for the primary meta-analysis as some studies were adjusted for prominent confounding variables, such as family history and adiposity, while others were not, rendering a direct comparison of estimates to be questionable.
In dominant component analysis (DCA), for each pixel approach, the best AM-FM demodulation estimates are selected from the bandpass filter that produces the largest IA estimate.
The following risk estimates were selected and used for acute non-lymphocytic leukaemia (ANNL).
Accordingly, two major sets of estimates were selected for meta-analysis.
The most appropriate estimates were selected based on recency, sample size and methodology.
