Recent studies conducted in the USA used population-based data to examine the adverse effects of violence during pregnancy [ 12, 13].
This is one of the few studies to use population-based data to examine women's physical and psychological outcomes after childbirth whilst taking into account co-occurring conditions and other key sociodemographic variables.
In order to address the need for additional data in this population, given the limited clinical trial participation, the increased incidence of AML due to the aging population, and the limited treatment options, we used population-based data to examine Medicare beneficiaries following their diagnosis of AML.
Also using the PRIMER software package, we calculated a Bray-Curtis similarity coefficient based on presence/absence data to examine the similarity of species lists: (1) among sub-regions, (2) between the entire deep-sea region and the continental shelf, and (3) between deep-sea sub-regions and the continental shelf.
The de-seasoned, age-standardized daily mortality departures were sorted into AT groups based on the hourly airport data to examine the heat-mortality relationship.
Our analysis of the effects of tobacco control polices on mortality was based on the best available observational data to examine this question.
For this, it is necessary to examine inferences based data simulated on trees of known topology.
Here we have taken advantage of a burgeoning RNA-Seq based genomic data-sets to examine the global expression profiles of p63 isoforms across commonly utilized human cell-lines and major tissues and organs.
Based on these data we proceeded to examine experimental data sets to confirm these findings.
Subsequently, we used principal component analysis (PCA) and Ordination Based Cluster Analysis (ORBACLAN) to examine the data for response patterns [ 26, 27].
Now, we have a few data points to examine.
