ISN YNC Curriculum: Basics of Statistics for a Successful Start in Clinical Research
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The ISN Young Nephrologist Committee Curriculum "Basics of Statistics to Get Started in Clinical Research" is composed of 6 recordings to help researchers use statistics to put together a clinical research proposal and also analyze and interpret data from clinical trials and studies. Statistics allows researchers to draw meaningful conclusions and make informed decisions about the effectiveness and safety of medical treatments and interventions.
- "Basic concepts of study design in clinical research: Observational vs. Interventional" - This chapter delves into the fundamental aspects of study design in clinical research, exploring the key differences between observational studies (such as descriptive, cohort, and case-control studies) and interventional studies (encompassing various types of clinical trials). Learn how each design contributes to advancing medical knowledge and understanding care processes and patient outcomes.
- "Basic concepts of epidemiological studies: measures of disease occurrence and measures of disease effects" - In this section, we unravel the fundamental principles of epidemiological studies. From examining measures of disease occurrence, including incidence and prevalence, to exploring measures of disease effects like relative and absolute risk, this chapter provides essential insights into understanding the impact of health conditions within populations.
- "Calculating sample size in clinical studies" - Understanding the significance of sample size is vital in clinical research. This chapter elucidates the methods for calculating sample size, enabling researchers to design studies that yield statistically robust and meaningful results. Learn how to ensure your research has the power to detect meaningful effects and make valid conclusions.
- "Addressing multiple variables in a clinical research study: effect modifiers vs. confounders" - Investigating the role of multiple variables in clinical research requires a nuanced approach. This chapter differentiates between effect modifiers and confounders, two critical factors that can influence research outcomes. Master the art of identifying and accounting for these variables to obtain more accurate and reliable conclusions.
- "Applications of big data and machine learning use in clinical research" - Explore the transformative potential of big data and machine learning in clinical research. This chapter showcases real-world applications of these cutting-edge technologies, from predicting patient outcomes to identifying patterns in large datasets, ultimately leading to more informed medical decisions.
- "Establishing Collaborative Networks for Clinical Research and Accessing Big Data: Strengthening Research Capabilities" - Collaborative networks and access to vast datasets, and evolving code books and algorithms are paramount in modern clinical research. This chapter outlines strategies for building collaborative networks, fostering partnerships, and obtaining access to valuable big data sources. Unlock the full potential of collective research efforts to drive advancements in medical knowledge and patient care.
Lama Ghazi
USA
Lama Ghazi is an Assistant Professor of Epidemiology at the University of Alabama at Birmingham. She obtained her MD from the American University of Beirut Lebanon and her PhD in Epidemiology with a minor in population studies from the University of Minnesota. She then completed a postdoctoral fellowship at the Clinical and Translational Accelerator at Yale University. Her research interests lie at the intersection of chronic disease prevention, specifically hypertension and chronic kidney disease, health disparities, and digital health by leveraging real world data and using implementation science methods to transform chronic disease prevention and management.
Amelie Bernier-Jean
Canada
Amélie Bernier-Jean is a nephrologist and early career clinician-scientist at the Hôpital Sacré-Coeur affiliated with the University of Montreal. She has completed a Masters degree in clinical epidemiology and a PhD with the Sydney School of Public Health. Her research focuses on lifestyle changes, including diet and physical activity, for people with chronic kidney disease. She is the 2021-2023 ISN-KI Clinical Editorial Fellow.
Eric Au
Australia
Ashutosh Tamhane
USA
Jin Chen
USA
Etienne Macedo
USA
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