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We have used the Vening Meinesz-Moritz theory and GOCE data, to compute and analyze the crust thickness beneath Iran's continental shelf and surrounding areas.
The main strength of this study is its linkage of household and health facility GPS data to compute and control for improved estimates of distance of households from a health facility.
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The diagnostic data to compute CCI and DCSI were drawn from the TTSH healthcare intelligence (TTSH-HI) system using the validated International Classification of Diseases Ninth Revision, Clinical Modification (ICD-9-CM) coding algorithms based on inpatient and outpatient encounters registered in TTSH-HI before the admission date.
Moreover a substantial number of the publications on these two tests had to be excluded due to lack of reported data to compute sensitivity and specificity of the tests for diagnosis of SN-PTB.
We then use the known true and false associations in the synthetic data to compute true positive rate and one minus positive predictive value for that threshold.
Predictive equations were applied to the patients' data to compute predicted strength values and z-scores for each function and each side.
We used various sequence and chromatin data to compute feature values at SEs and TEs (Methods).
These parameters are introduced into the model problem as data to compute the amplification factor and the stability limits.
We extracted adjusted estimates along with their variances if available, otherwise we used the published data to compute crude odds ratios and sample variances.
Analyses include data collected from students who had georeferenced residential information and complete and valid data to compute BMI z-score (n = 1,034).
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