81 citations · 100 across the 7 of their papers we have counts for
7 papers
Marginalised Poisson Hurdle Model for Cross-Sectional Count Data with Excess Zeros
Fred Fosu Agyarko, Edward Acheampong, Issah Seidu +1
Count data with excess zeros arise frequently in health economics and epidemiology. The standard Poisson Hurdle Model (PHM) parametrises the underlying Poisson rate directly, so it…
Distribution of the elemental regression weights with t-distributed co-variate measurement errors
I. Seidu, E. Nyarko, S. Iddi +2
In this article, a heuristic approach is used to determined the best approximate distribution of , given that are independent, and each of a…
Modelling COVID-19 Transmission Dynamics in Ghana
Edward Acheampong, Eric Okyere, Samuel Iddi +3
In late 2019, a novel coronavirus, the SARS-CoV-2 outbreak was identified in Wuhan, China and later spread to every corner of the globe. Whilst the number of infection-induced deat…
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young +93
We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared the performance of 92 algorithms from 33 international…
The relative efficiency of time-to-progression and continuous measures of cognition in pre-symptomatic Alzheimer's
Dan Li, Samuel Iddi, Paul S. Aisen +2
Pre-symptomatic (or Preclinical) Alzheimer's Disease is defined by biomarker evidence of fibrillar amyloid beta pathology in the absence of clinical symptoms. Clinical trials in th…
Bayesian latent time joint mixed effect models for multicohort longitudinal data
Dan Li, Samuel Iddi, Wesley K. Thompson +1
Characterization of long-term disease dynamics, from disease-free to end-stage, is integral to understanding the course of neurodegenerative diseases such as Parkinson's and Alzhei…
Statistical model for overdispersed count outcome with many zeros: an approach for direct marginal inference
Samuel Iddi, Kwabena Doku-Amponsah
Marginalized models are in great demand by most researchers in the life sciences particularly in clinical trials, epidemiology, health-economics, surveys and many others since they…