The ability to accurately model and interpret complex data sets is paramount. This technical exploration delves into three sophisticated modelling techniques: Polynomial Models, Fractional Polynomials, and Spline Models. Each of these models serves as a fundamental tool in the statistical toolkit, enabling us to capture and understand the intricacies of linear and non-linear relationships inherent in real-world data.
Jan 19, 2024
Developed framework for temporal and genomic analysis of additive and dominance genetic variance
Feb 10, 2022
Development of an appropriate parametric state-space formulation for the marginal distribution of standard menstrual cycles for female athletes
Aug 20, 2021
We show our model generates high accurate forecasts up to seven days ahead for COVID-19 reported cases.
Apr 6, 2021
We focused to investigate the host non preference and suitability for xylem-sap feeding among plum genotypes that differ in bacterial leaf scald intensity in the field.
Aug 17, 2020
Quantitative genetics is a field of biology studying the effect of genetic and environmental factors on quantitative traits.
Jan 10, 2020
Evaluate the effects of global warming and straw removal on gas emissions
Jul 16, 2019
Developed statistical frameworks for sports analytics
Apr 10, 2019
Adapt and validate an in vitro acquisition system for X. fastidiosa by sharpshooters.
Nov 10, 2018
We proposed a longitudinal concordance correlation (LCC) to estimate agreement over time among methods
Mar 22, 2018