Exact(3)
There are several rationales for merging data when analyzing the outcome of high-throughput experiments.
This paper describes the method for merging data, calculating the statistical variable (SV), recoding psychiatric diagnoses and summarizing hospital admissions for a perinatal psychiatric study.
We have created a framework which allows for merging data sets of any kind as long as a single assumption is fulfilled: that the relationship be monotonic, that is, that better ligands in 1 study are expected to be better ligands in all studies (give or take variability).
Similar(56)
In this paper, we describe a semiautomated framework, identification of signatures from integrated clustering (ISIC), for merging data-driven and knowledge-driven approaches into a biomarker selection scheme in an iterative manner, with a defined metric provided for performance evaluation.
To integrate quantitative and qualitative data sets, a side-by-side comparison for merged data analysis [ 45] will be performed per institution.
In this work, we analyzed the potential benefits of merging data sets for prognostic application in breast cancer diagnosis.
For instance, merging data from all Nordic countries allows for studies of rare exposures or outcomes in the large study population of more than 25 million people combined.
Transfers from one center to another were accounted for by merging data; a transfer was assumed if admission to an acute care institution occurred on the same day or prior to discharge from the preceding acute care institution.
This will allow for comparing and merging data sets in the future with appropriate reference comparisons.
A combined database will be created for analysis by merging data from the perinatal and qualitative database, intervention database and outcome assessment data base using the statistical package Stata 10.0.
Making the data ready for use, filling gaps, correcting errors, merging data sources and so on.
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