From the Editor

Interacting with researchers and going through research papers, my observation is that there is great enthusiasm and fascination amongst researchers to use advanced statistical tools. Some of these tools seem to be hyped and have created misconceptions about what these tools can do. It is true, today, that one does not need a formal degree in statistics to use analytical tools. But, there is no compromise for understanding the problem logic. It is possible for researchers with some statistical knowledge, basic database skills, and a keen understanding of the problem and its underlying data to create effective models.