The Tackling Men's Health Evaluation Study

Tackling Men’s Health is an intervention developed out of a partnership between the Department of Health, Leeds Rhinos Rugby League Club and Leeds Metropolitan University. The intervention was designed to target men attending Headingley Carnegie Stadium, with the aim of promoting engagement with health services and therefore promoting improved health and wellbeing. The primary aim of the of the Tackling Men’s Health study is to assess engagement in an intervention targeting men attending rugby matches. Secondary aims of the research study are to: To assess the barriers and facilitators associated with implementing a health promotion intervention targeting men attending rugby league games To examine the effect of a multi-component targeted intervention on men’s self reported engagement with health services To examine the effect of a multi-component targeted intervention on men’s awareness of key health issues To examine the effect of multi-component targeted intervention on men’s perceived health status The research study monitored the evolution of the Tackling Men’s Health intervention, which was delivered in sports settings over the course of the 2009 Engage Super league Rugby league season. Seven stakeholders and 20 men who attended Rugby league matches were interviewed to achieve a broad understanding of appropriateness of the processes used in the planning and delivery of the Tackling Men’s Health intervention

Journal Article – Some Uses of Visual Aids in the Army

An article published in the December 1944 issue of the Journal of Educational Sociology, titled Some Uses of Visual Aids in the Army that describes teaching methods of the Special Training Unit Program.https://scholarworks.moreheadstate.edu/stu_1210th_fort_ontario/1062/thumbnail.jp

Bayesian Structural Causal Inference with Probabilistic Programming

Reasoning about causal relationships is central to the human experience. This evokes a natural question in our pursuit of human-like artificial intelligence: how might we imbue intelligent systems with similar causal reasoning capabilities? Better yet, how might we imbue intelligent systems with the ability to learn cause and effect relationships from observation and experimentation? Unfortunately, reasoning about cause and effect requires more than just data: it also requires partial knowledge about data generating mechanisms. Given this need, our task then as computational scientists is to design data structures for representing partial causal knowledge, and algorithms for updating that knowledge in light of observations and experiments. In this dissertation, I explore the Bayesian structural approach to causal inference in which probability distributions over structural causal models are one such data structure, and probabilistic inference in multi-world transformations of those models as the corresponding algorithmic task. Specifically, I demonstrate that this approach has two distinct advantages over the dominant computational paradigm of causal graphical models: (i) it expands the breadth of compatible assumptions; and (ii) it seamlessly integrates with modern Bayesian modeling and inference technologies to facilitate quantification of uncertainty about causal structure and the effects of interventions. Specifically, doing so allows the emerging and powerful technology of probabilistic programming to be brought to bear on a large and diverse set of causal inference problems. In Chapter 3, I present an example-driven pedagogical introduction to the Bayesian structural approach to causal inference, demonstrating how priors over structural causal models induce joint distributions over observed and latent counterfactual random variables, and how the resulting posterior distributions capture common motifs in causal inference. In particular, I show how various assumptions about latent confounding influence our ability to estimate causal effects from data and I provide examples of common observational and quasi-experimental designs expressed as probabilistic programs. In Chapter 4, I present an advanced application of the Bayesian structural approach for modeling hierarchical relational dependencies with latent confounders, and how to combine such assumptions with flexible Gaussian process models. In Chapter 5, I present a prototype software implementation for causal inference using probabilistic programming, accommodating a broad class of multi-source observational and experimental data. Finally, in Chapter 6, I present Simulation-Based Identifiability, a gradient-based optimization method for determining if any differentiable and bounded prior over structural causal models converges to a unique causal conclusion asymptotically

Journal Article -The Conquest of Illiteracy

An article published in the October 1945 issue of The Education Digest, titled The Conquest of Illiteracy that offers an overview of the Special Training Unit Program.https://scholarworks.moreheadstate.edu/stu_1210th_fort_ontario/1071/thumbnail.jp

Journal Article - The Conquest of Illiteracy

An article published on July 7, 1945 in School and Society on the origin of the Special Training Unit Program.https://scholarworks.moreheadstate.edu/stu_1210th_fort_ontario/1068/thumbnail.jp

Journal Article - What the War has Taught us about Adult Education

An article published in the July 1945 issue of The Journal of Negro Education, titled What the War has Taught us about Adult Education that evaluates the Special Training Program of the United States Army.https://scholarworks.moreheadstate.edu/stu_1210th_fort_ontario/1072/thumbnail.jp

Journal Article - Teaching the Three R\u27s in the Army

An article published in the March 1945 issue of The English Journal, titled Teaching the Three R\u27s in the Army that described the instruction of non-English speakers in the Special Training Unit Program.https://scholarworks.moreheadstate.edu/stu_1210th_fort_ontario/1069/thumbnail.jp

Engaging men with penile cancer in qualitative research: reflections from an interview-based study.

To explore the challenges of engaging men with penile cancer in qualitative interview research

Journal Article – The Use of Visual Aids in Special Training Units in the Army

An article published in the February 1944 issue of The Journal of Educational Psychology, titled The Use of Visual Aids in Special Training Units in the Army that discusses the Special Training Unit Program.https://scholarworks.moreheadstate.edu/stu_1210th_fort_ontario/1058/thumbnail.jp

The self-care for people initiative: the outcome evaluation.

To determine the effects of a community-based training programme in self-care on the lay population