All articles by Priya Chetty

Common pipeline for statistical analysis in epidemiological studies

Previous articles discussed the need for statistical analysis and modeling of epidemiological studies in public health studies. Analysis in epidemiological studies typically requires descriptive and analytical methods. Descriptive analysis of epidemiological data includes hypotheses development. This is based on variability of disease outcome rates with demographic variables. On the other hand, analytical epidemiology determines cause or mode of disease epidemic outbreak. Read more »

Statistical tests in descriptive and analytical epidemiology

In the previous article, the importance of statistical analysis in epidemiological studies was established. Statistical analysis can contribute towards strategic planning of public health strategies. Consequently, this analysis is mainly done through mathematical and statistical techniques. Both offer unique advantages and purposes. Read more »

Time series and forecasting models in disease epidemiology

Time series analysis refers to analysis of observations that are time-dependent. Therefore, observations from an event are dependent upon the time at which it took place. Time intervals can be minutes, hours, days, months or years. Observing the trends of these events over a long period enables identifying hidden relationships. Moreover, future trends can be predicted using this analysis. Read more »

Output oriented DEA to determine the efficiency of private and public sector banks

The previous article depicts the analysis and interpretation of the Input oriented multi-staged constant returns to scale (CRS). Output oriented multi-staged Constant returns to scale data envelopment analysis (CRS-DEA) is, however, based on a different principle. Read more »

Systematic review of forecasting models in disease epidemiology

In the previous article, the role and advantages of using forecasting models in disease epidemiology was discussed. Forecasting models are important tools assisting public health decision making. They help predict future disease trends, incidents and possible risks in a population or community. Read more »

Significance of statistical analysis in epidemiological studies

Infectious diseases continue to pose significant threat to humans and animals. Stringent disease control policies and advancement in vaccines have not eradicated them. Therefore, in 2015 alone, 10 top deadly diseases were responsible for killing 30 million people. Among these diseases, communicable diseases like lower respiratory infections, diarrhea, tuberculosis and HIV were the major culprits (World Health Organization, 2017). Read more »

Result summarisation using Nvivo,framework matrices

Framework matrices helps to summarize results of Sources material. They provide a grid in the form of rows and columns to condense source materials. A framework matrices grid is displayed in the below figure. Here, the rows represent the case nodes (interviews) and the column represents the themes nodes. Read more »

Impact of demonetization on India’s real estate sector

A sudden ban on the existing Rs. 500 and Rs. 1000 currency notes shook the Indian economy and real estate sector which was evident after the third quarter of the financial year 2016-17. The announcement of demonetization and implementation of the Benami Properties Act for unregulated properties took place in the same year. Economists predicted the growth rate of the real estate sector to slow down more than ever as a result. Read more »

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