Author name: AM

binomial logistic regression

Workforce Outcomes

A client from the U.S. Army was interested in understanding how different leadership styles impacted key workforce outcomes, such as subordinate motivation, job satisfaction, and perceived efficiency. They faced challenges in maintaining consistent performance and morale, which led to the need to evaluate the effectiveness of various leadership approaches. To address this issue, we conducted […]

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Paired-Samples T-Test

Chemical Exposure Risks

The EPA and the SC Johnson manufacturer faced a critical challenge: assessing the efficacy and safety of insect repellent products containing Picaridin and PMD (p-Menthane-3,8-diol) for consumer use. They needed reliable data to determine how well these products protected users from mosquito bites and evaluate the potential chemical exposure risks associated with repeated topical application.

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Two-Way ANCOVA

Chemical Exposures

The EPA approached us with a critical concern: workers in industrial and janitorial settings could face significant health risks from exposure to antimicrobial solutions used during immersion, dip, and soak (IDS) tasks. These chemicals, essential for maintaining hygiene in high-risk environments, posed unknown risks when workers were exposed to them regularly. The client needed a

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One-Way ANCOVA

Wildland Fire Research

We reviewed a project that evaluated the health impacts of wildfires on vulnerable populations. Led by the EPA, the project aimed to assess the spatial distribution of health effects and to develop targeted interventions for those at risk of cardiovascular and respiratory issues, especially following severe wildfire seasons. This review provided high-level interdisciplinary guidance. This

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Cox Regression

Cox Regression

Cox Regression Cox regression, also known as the Cox proportional hazards model, is a statistical technique used to explore the relationship between the survival time of subjects and one or more predictor variables. It is used in medical research, particularly for time-to-event data, where the goal is to investigate how certain factors influence the time

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