Ongoing Project:

• Path Analysis of clinical pathways for Hospital Outcomes in Acute Kidney Injury – A secondary data analysis.
• A comparison of Penalized Regression models and Traditional Logistic Regression in Predictor selection and predictive performance – A secondary data anlaysis on NFHS-5 data

Completed Project:

• Multivariate approach to multiple correlated outcomes in healthcare evidence synthesis.
• Multivariate approach to statistical modelling with multiple related outcomes in health care data.
• Cluster Analysis of Signs & Symptoms among patients with Acute ST Elevation Mycordial Infarction in a Tertiary Health Care Hospital in South India
• Estimation of national burden in terms of potential years of Life Lost due to Suicides and its Spatial and Temporal patterns in India.
• Choosing between Poisson distribution and Zero inflated Poisson distribution on count data.
• A causal network mediation model to predict the Low Birth Weight of the child: Analysis based on NFHS-4 data.
• Spatial and Temporal pattern of the national burden due to Road Traffic Accidents in India.
• Comparison of Binary Logistic Regression model with Linear Discriminant function for prediction and classification of malnutrition among under five Indian children – An exploratory analysis based on NFHS-4 data.
• Comparison of decision tree with Logistic Regression as Classification Model for predicting the outcome in patients with Head and Neck cancer.
• Comparison of different classification models to predict the treatment outcome among patients with Acute Kidney Injury.
• Interim Analysis Guidelines Adherence during the Design, Conduct, Analysis and Reporting of Randomized Controlled Trials.
• Exploring various statistical models for predicting anaemia level among women in the reproductive age group 15 – 49 years using NFHS-5 data.
• Comparison of different Spatial Regression Models for predicting childhood anaemia in India – A Secondary data analysis on NFHS data.
• Bayesian Network Model for the prediction of Binary Outcome in Clinical Research.
• Association of Prevalence of undernourishment with social, economic, environmental and sanitary factors – A Panel data modeling approach for cross-country aggregate longitudinal data.
• Comparison of different data imputation methods for dealing with the missing data in clinical research.
• Modeling the interrelationship between Atmospheric pollutants and Respiratory deaths: A Multivariate time-series analysis.
• Spatial modeling of self-reported Thyroid Disorder among women in India – A secondary data analysis on NFHS-5 data.