Guidelines for the development of PRO instruments and analysis of PRO data have been developed [ 8- 10] and have emphasized the need to report methods used for sample size planning.
Robust techniques for analysis of production data have been developed and widely used for many years.
To overcome the lack of data, methods to utilize land-use data have been developed.
In recent years, tree-based algorithms for mining uncertain data have been developed.
Several data structures designed for spherically mapped data have been developed.
To overcome the paucity of rainfall data, several techniques using a satellite data have been developed (Lazri et al. 2013).
In response, various systems for preserving patient privacy in shared genomic data have been developed and deployed.
Several image enhancement techniques applied to potential field data have been developed for a qualitative and quantitative interpretation of fault model anomalies hidden by regional fields.
In recent years, methods based on strategies of randomly sorting or bootstrapping data have been developed to estimate effective gate-specific, voxel-specific noise in gated data [29].
To circumvent these issues, several target-based methods relying on the analysis of existing drug-target interaction data have been developed.
Several simple index methods that use easily accessible data have been developed and included in decision support systems to estimate pesticide leaching across larger areas.
