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Besides the statistical issues such as selection bias, some studies further implied the probable reason was improper sample selection that did not resemble the genomic space defined by the training population.
Despite Google's commanding share of the market, estimated at two-thirds, 22 future work will address the extent of sample selection that could arise from focus on a single search engine.
Despite these results some limitations to the study were noted, mainly a non-randomized sample selection that reduced the generalizability of the results and no country data available on vaccination reticence.
These items frequently addressed issues involving data analyses, external validity of results and sample selection that were specific to diagnostic studies (whether the diagnostic criteria were defined, definition of the "gold" standard, the calculation of sensitivity and specificity) (Tables 1 and 2).
The method we describe now uses pair-wise sample compatibility to drive sample selection, that is, it builds an n r -sized solution by adding individual samples to the solution, the preference being guided by the previously included samples and their compatibility with the as of yet not selected samples.
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Our study differs in that we analyzed a younger population and the main reason for our sample selection was that we felt that special attention should be paid to them because we are confident that prior behaviors in targeting promotion and information may have important public health implications in order to further increase understanding of CRC and performing appropriate preventive practices.
The advantage of using these surveys instead of the Encuesta de Estructura Salarial (EES), the Spanish Wage Structure Surveys, which is commonly used in the literature, is that the ECHP and EU-SILC allows us to correct for the sample selection bias that can very significant.
Our approach helps overcome the sample selection problem that arises if takeover premia are simply interpreted as average bidder valuations.
Second, we suggest a method to correct for the sample selection bias that often affects empirical contributions to this scholarship.
On one hand, the use of return intention dummy variable prevents any potential sample selection bias that might result from non-random non-response to the intended migration duration question; on the other hand, the return intention dummy variable obviously contains less information than the intended migration duration variable.
Heckman [ 13, 14] extended the Tobit model to a two-part model referred to as the sample selection model that assumed an underlying bivariate normal error.
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