scispace - formally typeset
S

Samuel Iddi

Researcher at University of Ghana

Publications -  54
Citations -  566

Samuel Iddi is an academic researcher from University of Ghana. The author has contributed to research in topics: Overdispersion & Medicine. The author has an hindex of 12, co-authored 44 publications receiving 358 citations. Previous affiliations of Samuel Iddi include Katholieke Universiteit Leuven & University of Southern California.

Papers
More filters
Journal ArticleDOI

Effectiveness of community facilitator training in improving knowledge, attitudes, and confidence in relation to depression and suicidal behavior: results of the OSPI-Europe intervention in four European countries.

TL;DR: In this article, a standardized training program was provided to 1276 facilitators in Germany, Hungary, Ireland, and Portugal to improve attitudes toward depression, knowledge on suicide, and confidence to detect suicidal behavior in four European countries and to identify specific training needs across regions and CF groups.
Journal ArticleDOI

Bayesian latent time joint mixed effect models for multicohort longitudinal data.

TL;DR: A latent time joint mixed effects model is proposed to characterize long-term disease dynamics using data from the Alzheimer's Disease Neuroimaging Initiative and Markov chain Monte Carlo methods are proposed for estimation, model selection, and inference.
Journal ArticleDOI

Predicting the course of Alzheimer's progression.

TL;DR: A two-stage approach to modeling and predicting measures of cognition, function, brain imaging, fluid biomarkers, and diagnosis of individuals using multiple domains simultaneously, using a single joint mixed-effects model for all continuous outcomes yields better diagnostic classification accuracy.
Journal ArticleDOI

The Nairobi Urban Health and Demographic Surveillance of slum dwellers, 2002–2019: Value, processes, and challenges

TL;DR: The Nairobi Urban Health and Demographic Surveillance System (NUHDSS) has been in existence since 2002 and has been a vital platform for providing a more nuanced understanding of changes in the health and socioeconomic status of urban slum dwellers, and allows the elucidation of intra-urban and intra-slum differences.