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By Indra Giri & Priya Chetty on October 30, 2017 1 Comment

Regression analysis is a statistical tool to study the relationship between variables. These variables are the outcome variable and one or more exposure variables. In other words, regression analysis is an equation which predicts a response from the value of a certain predictor.

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By Indra Giri & Priya Chetty on October 10, 2017 2 Comments

Monte Carlo simulation is an extension of statistical analysis where simulated data is produced. This method uses repeated sampling techniques to generate simulated data.

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By Avishek Majumder & Chandrika Kapagunta on September 27, 2017 1 Comment

Descriptive epidemiology refers to analyzing the existing trends of a disease epidemic. The study is conducted with respect to time, place and persons (Aschengrau and Seage, 2013).

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By Avishek Majumder & Chandrika Kapagunta on September 25, 2017 No Comments

Forecasting models help detect future epidemics using related factors like environment, vector density or socioeconomic factors. In this article, the role of forecasting models in epidemiology is explained.

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By Priya Chetty on June 13, 2017 No Comments

In recent years, big data has become a buzz word for them who are relying on digital technologies as it allows storage and analysis  of massive data. Here, big data includes both structured and unstructured data sets which require processing capabilities of modern tools. One of the most popular tools to handle big data is Advanced Excel […]

By Abhinash Jena on May 20, 2017 Comments Off on Modules
By Avishek Majumder on May 12, 2017 6 Comments

Data envelopment analysis (DEA) is the most commonly used program for this purpose (Coelli, 2008). Tim Coelli from of University of New England (Centre for Efficiency and Productivity Analysis, Department of Econometrics, Australia) had uploaded the program in DOS based command which is in a zipped format along with guidelines on how to use it.

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By Indra Giri & Priya Chetty on March 14, 2017 6 Comments

The normal linear regression analysis and the ANOVA test are only able to take one dependent variable at a time. So one cannot measure the true effect if there are multiple dependent variables. In such cases multivariate analysis can be used.

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