4 papers · 1 filter
A unified framework for estimating direct causal effect under spatial confounding and interference, with the R package spaci
Isqeel Ogunsola, Olatunji Johnson
Estimating causal effects is challenging with observational data due to the lack of exchangeability, and is further complicated with spatial data. In real-life applications such as…
A Novel Three-Parameter Extended Weibull Distribution for Health Data Modelling
Isqeel Ogunsola, Nurudeen Ajadi, Gboyega Adepoju
Weibull distribution is widely used in modelling health data. However, its lack of sufficient tail flexibility often results in poor fit in extreme events. We proposed another thre…
Transmuted logistic-exponential distribution - some new properties, estimation methods and application with infectious disease mortality data
Isqeel Ogunsola, Abosede Akintunde, Kehinde Yusuff +2
Lately, a New Transmuted Logistic-exponential (NTLE) distribution was introduced and studied as an extension of the Logistic-Exponential Distribution (LED) with wider applicability…
Disentangling spatial interference and spatial confounding biases in causal inference
Isqeel Ogunsola, Olatunji Johnson
Spatial interference and spatial confounding are two major issues inhibiting precise causal estimates when dealing with observational spatial data. Moreover, the definition and int…