Research analysis
The research analysis is about more than graphs and visualizations. We aim to meet a very high level of scientific rigour and represent original research. From clinical data to web data, we have proactively handled and modelled it.
Get assisted at every step
We work hard to thoroughly assess problems and requirements. We use a variety of methodologies to infer accurate answers that will lead to implementing actionable strategic solutions. We can mine information from many different sources available. Once the data is validated then we start writing the report specifying every step followed.
Sometimes Cronbach’s alpha value is negative, i.e. below 0. This article explains how to handle... More
Descriptive analysis is a popular method of examining a dataset’s characteristics. In this article, we... More
The first step in the process of statistical analysis is primary data coding. This refers... More
Secondary literature search & review
We collect and organize secondary data from various sources specifically from the scientific community. A thorough review of the past research can shed light on current trends and lead the path for the primary analysis.
- Meta-analysis for one group
- Systematic review of forecasting models in disease epidemiology
- What are the advantages and disadvantages of a review study?
- What are the advantages and disadvantages of an empirical study?
- What is the difference between systematic review and critical review?
- What is a systematic review of the literature?
- How to empirically review the literature?
Clarity through statistics
Our experience in statistics, data science, and behavioral sciences in 10 years’ has made us experts in conceptualizing problems. We build strategies that turn data assets into a competitive advantage. Our data analysis practice is supported by our expertise in:
