In data mining, significant patterns and knowledge are extracted from big databases that in the context of cancer research that include patient characteristics, genetic records, outcomes from treatment, and other facts.
Machine learning has become an indispensable tool in bioinformatics research. Biomarkers act as indicators of any biological state of the body. It can help to detect different kinds of diseases.
We are on a constant lookout for data analysts who have a dynamic personality and can lend supporting help to our ongoing projects with their analysis.
In India, in the last two decades, the inflow of FDI has grown significantly. Similarly, its environmental pollution has also been rising since 1991 due to an increase in economic activity. This article empirically investigates the impact of FDI on air pollution in India.
As seen the relative weighting of studies in the two models are quite different. The random effects model takes into account both the interstudy variance and sample size, resulting in well-distributed weight.
The present article takes up the datasheets for the unmatched post and pre or post design and illustrates the results with statistics. The present discussion will focus on the interpretation of the results.
The previous article illustrated the manual data entry procedure to facilitate data analysis for performing meta-analysis in comprehensive meta analysis (CMA) application.
The meta-analysis results involve basic summary statistics, forest plots and model statistics. Besides these, also funnel plot can be obtained to study publication bias amongst the studies in the analysis.