Quantitative-Data for Decision-Making (Q4D) Lab

We're excited to share our latest article, which highlights the relevance and utility to health sector professionals of our training programs at the Quantitative-Data for Decision-Making (Q4D) Lab. Established by a dedicated team of local and international scientists, Q4D is committed to promoting awareness, enthusiasm, and capacity for conducting quantitative global health research in Liberia. Our new study showcases the strides we're making in empowering Liberians with essential skills in R statistical software, biostatistics and mathematical modeling. With 81% of participants confidently applying their skills in their professional and academic lives, and many attributing career advancements to our program, we're proud of the what Q4D is achieving. Please find the full article here:  https://lnkd.in/eJqSJENp The dataset is also available online for those who would like to practice their R skills and reproduce some of our descriptive findings! 10.6084/m9.figshare.26762368 We will continue to develop studies for evaluating Q4D so we can continue to learn and grow. Collaborations are always welcome! #Q4DLab #EquityInResearch #GlobalHealth #HealthForAll #EvidenceDriven #MathModelingInLiberia Chelsea R. Doe snoyonoh barcon Laura Skrip George Blede Davis

Are you a Public Health Practitioner, Researcher, Statistician, Data Analyst, or Student? This opportunity is for you! Beginner R for Public Health Practitioners and Researchers in Liberia - is a certificate course designed to introduce learners to R Statistical Software and basic coding. No previous experience is required. This initiative by Q4D-Lab aims to stimulate quantitative research and bridge the gaps faced by individuals and organizations embarking on quantitative research and data-driven activities. The next R Course for Beginners starts on September 3, 2024. Schedule: Tuesdays: 2:00 PM to 4:00 PM Saturdays: 12:00 PM to 2:00 PM Registration is ongoing! Visit www.q4dlab.org or contact us at [email protected] for inquiries. #Q4DLab #EquityInResearch #GlobalHealth #HealthForAll #EvidenceDriven #MathModelingInLiberia Chelsea R. Doe snoyonoh barcon Laura Skrip George Blede Davis

At the Quantitative-Data for Decision-Making (Q4D) Lab, we empower Public Health Professionals, Researchers and individuals from various disciplines with essential data analysis skills. Our beginner R course introduces students to the fundamentals of R software, data cleaning, and visualization, providing hands-on experience with real-world data sets. To further advance analytical capabilities, we offer Intermediate and Advanced biostatistics courses, deepening the understanding of complex statistical methods. Head over to our website q4dlab.org or contact us @ [email protected] for inquiries. #Q4dlab #EquityInResearch #GlobalHealth #HealthForAll #EvidenceDriven #MathModelingInLiberia Chelsea R. Doe snoyonoh barcon Laura Skrip George Blede Davis

We Model! Q4D is transforming the Quantitative Research landscape in Liberia. Another group of learners is developing mathematical modeling skills at Quantitative-Data for Decision-Making (Q4D) Lab. Health policymakers armed with evidence from mathematical models can make more informed decisions. Whether it's planning vaccination campaigns or designing policies around case management, evidence-driven choices lead to better outcomes! 🤓📈 The problem has been the lack of modelers in Liberia to provide the results to support decision makers. We’re filling the gap. At Q4D, we provide rigorous training in R and foundational statistics, so that students can progress to more advanced classes, like mathematical modeling, with both skills and confidence. We are excited to share the journey of our latest cohort of public health researchers and practitioners who have gone from installing R and RStudio to writing user-defined functions, coding loops, and evaluating distributional assumptions. They are now working with malaria stakeholders to co-design a compartmental model and start the parameterization process to address a specific programmatic question. Exciting! #Q4DLab #EquityInResearch #GlobalHealth #HealthForAll #EvidenceDriven #MathModelingInLiberia

We Model! Q4D is transforming the Quantitative Research landscape in Liberia. Another group of learners is developing mathematical modeling skills at Quantitative-Data for Decision-Making (Q4D) Lab. Health policymakers armed with evidence from mathematical models can make more informed decisions. Whether it's planning vaccination campaigns or designing policies around case management, evidence-driven choices lead to better outcomes! 🤓📈 The problem has been the lack of modelers in Liberia to provide the results to support decision makers. We’re filling the gap. At Q4D, we provide rigorous training in R and foundational statistics, so that students can progress to more advanced classes, like mathematical modeling, with both skills and confidence. We are excited to share the journey of our latest cohort of public health researchers and practitioners who have gone from installing R and RStudio to writing user-defined functions, coding loops, and evaluating distributional assumptions. They are now working with malaria stakeholders to co-design a compartmental model and start the parameterization process to address a specific programmatic question. Exciting! #Q4DLab #EquityInResearch #GlobalHealth #HealthForAll #EvidenceDriven #MathModelingInLiberia