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These presence / absence data were used as input for multivariate analyses: NMDS, cluster analysis and CCA.
Because absence data are lacking, DIVA-GIS uses a set of random pseudo-absence points [38].
Species presence and absence data were aggregated at the 800-m pixel level for modeling purposes.
Receiver operating characteristic (ROC) plots [62] based on presence and absence data were constructed for each model.
Gene presence and absence data was recorded in a spreadsheet and the genome comparison graphic (Fig. 3) generated by colouring the present genes blue and absent genes yellow, and copying the spreadsheet columns as a bitmap [24].
Furthermore, true absence data are difficult to obtain [48] and similarly fail to clarify whether intrinsic (e.g., physiological) or extrinsic (e.g., physical barriers) limits prevent the species from existing in a given area of the geographic domain.
Sickness absence data are retrieved from the workplaces.
Medically-certified sickness absence data were available from company records.
Sickness-related absence data was obtained from employer records.
Illness absence data are one of the major components of the HSS.
Sickness absence data was used in the comparison of participants and non-participants.
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