Five minute chats with experts from all corners of science about statistics that can be applied to a single person. All scientists and non-scientists are welcomed! This podcast is hosted by Stats-of-1 (statsof1.org), a blog on a mission to improve personalized health through digital individualized statistical designs or methods.
This episode explores how statistics for n-of-1 designs can help practitioners make day-to-day decisions in applied behavior analysis (ABA). Mark Ramos describes how a personal concern about his daughter’s early intervention led him to ask a simple but important question: when does observed performance (for example, 4 of 5 vs. 8 of 10 correct trials) justify concluding a child has truly mastered a skill?
Using Bayesian ideas, he shows how increasing trial counts changes the posterior probability that latent mastery meets a chosen threshold, and how that can be integrated into routine ABA records. He also describes a prototype app to give practitioners updated, individualized probabilities and emphasizes choosing statistical tools to fit the context.
29 Sept 2025
Beyond Test Results in Chronic Illness
In this episode of N of 5 Minutes, we talk with Dr Nita Jain about why health care needs to look past lab numbers and averages to understand individual patients. She explains how treating a “low” result with a supplement can miss the deeper causes, and why single-patient studies are especially valuable for complex illnesses like long COVID. Dr Jain highlights how sex differences, personal baselines, and genomics could make care safer and more precise. She also shares an ecological view of microbes, showing how context shapes whether organisms are partners in health or sources of disease.
13 May 2025
Personalized Learning in Schools
In this episode, we chat with Garrett Hall, a Florida State University school psychology professor, about individualized education intervention models. Garrett explains how single-case designs are crucial for addressing academic challenges, especially in math and reading. He highlights the importance of early intervention and its long-term benefits for students and schools. We explore how these tailored approaches can effectively measure and improve individual student outcomes.
20 Feb 2025
Decoding Walking Patterns
Dr. Harezlak, a biostatistician from Indiana University, delves into the nuanced world of human walking. Dr. Harezlak highlights how walking patterns can reveal significant insights into individual health, such as aging and physical performance. The discussion extends to the realm of competitive sports, exploring how analyzing head impacts in American college football players can lead to more personalized concussion research. This episode invites listeners to rethink how individualized data can revolutionize scientific understanding and health interventions.
9 Dec 2024
Navigating Longevity One Person at a Time
Dr. Lutz Kraushar, a longevity researcher, empowers individuals to create personalized health plans through N-of-1 methods, focusing on vascular function and data-driven lifestyle interventions.
29 Jul 2024
Mental Health, Wearable Devices, and Individualized Care
How can we bring people with mental health conditions closer to their doctors and improve their care?
Linda Valeri is an expert biostatistician specializing in causal inference with a focus on biostatistical methodology and statistical learning. She received her doctorate degree in biostatistics from Harvard University and is currently an assistant professor of Biostatistics at Columbia University's Mailman School of Public Health.
Her research encompasses causal mediation analysis, measurement error, missing data, and the integration of data from multiple sources such as smartphones and wearable devices, life course cohort studies, and electronic medical records, all in diverse populations.
13 Aug 2023
How can we identify treatment you want to do?
How can we monitor your health in a way that is personally meaningful?
Diogo Branco is a PhD student in Computer Science at the University of Lisbon. His research focuses on human computer interaction, particularly in pervasive health care. Over the past five years, he has dedicated his research to designing, developing, and evaluating applications and platforms in various health care fields including Parkinson's disease.
Throughout his PhD, Diogo's primary objective is to utilize personalized tracking mechanisms to improve treatment adherence among individuals with Parkinson's and increased data availability for clinicians. In this episode, he talks to us about some of his work with patients with Parkinson's disease, with a focus on how we can make health monitoring easy and engaging so patients and clinicians can both benefit.
25 Jul 2023
Please be quiet!
How can we support people that have an intense reaction to certain sounds?
Dr. Kibby McMahon (http://www.kibby-mcmahon.com/) is a clinical psychologist, yoga teacher, and the co-host of ‘A Little Help for our Friends’ (https://www.alittlehelpforourfriends.com/)podcast. Kibby completed her undergraduate degree at Columbia University, her PhD at Duke University in the Clinical Psychology program and her pre-doctoral internship at Cornell and New York Presbyterian Hospital.
She recently completed a postdoctoral fellowship at Duke University Medical Center, where she investigated novel treatments for misophonia in which people are intensely bothered by specific sounds (for more description of condition check out this website (https://psychiatry.duke.edu/duke-center-misophonia-and-emotion-regulation)). Having been trained in several forms of evidence-based psychotherapies, Kibby treats adults with a range of mental health struggles, particularly depression, anxiety, personality disorders, trauma, and general relationship problems. Her passion lies in helping people connect more deeply to themselves and to others.
24 May 2023
Exercise, energy and fatigue: what works for you?
Ali Boolani is a multidisciplinary scientist whose work is focused on identifying feelings of mental and physical energy and fatigue and prescribing inter and intra individual interventions. His work is trying to identify intra individual differences in interventions to modify fatigue led to his interest in learning more about stats of one. He's currently the PI of the Mental Performance Lab at the Gatorade Sports Science Institute, and is interested in using these methods to improve his work.
14 May 2023
Adaptive Computing for Diabetes
How can we create personalized support for people with Diabetes using mobile devices?
In this episode, Dr Simon Harper talks about his work creating computer algorithms that monitor and adapt to people's behavior to provide them with personalized support to manage their Type I Diabetes. Dr Harper is a Professor in Computer Science at the University of Manchester. His work is centered on understanding, predicting and influencing a user's behavior in the real-world and through interfaces and information, while taking into account cognitive, behavioral, perceptual and technological factors. His contributions lie in the development of adaptive user models of extreme users and/or extreme environments.
17 Mar 2023
Optimizing Therapy for Individuals
How can we help people get the most out of therapy?
In this episode, Dr Julianne Wilner Tirpak talks about her work exploring personalized therapy approaches for adolescents that engage in high risk behavior. Dr Wilner Tirpak is a clinical psychologist at McLean Hospital in Boston where she researches treatments for adolescents with Borderline Personality Disorder, self-harm behaviors, and anxiety.
25 Feb 2023
Stories from an N-of-1 trials and SCED pioneer
What is it like to teach, research, and consult on N-of-1 trials and SCED?
In this episode, we talk to Dr. Patrick Onghena. Dr. Onghena is a professor of educational and behavioral statistics and methodology at KU Leuven, University of Leuven, Belgium. Since the 1990s, he has been working as a researcher, teacher, and consultant using methods and techniques for N-of-1 trials and Single Case Experimental Designs. Currently, he is involved in multiple research projects that support varied therapeutic areas. His research interests include single-case experimental designs, distribution-free statistical inference, meta-analysis, systematic reviews, mixed methods research, and research on statistics education and probabilistic reasoning. In this episode he shared his thoughtful views on how SCED can be used to improve treatments and advance research.
Small is beautiful {once more}. The third international N=1 Symposium, April 2023 (https://ppw.kuleuven.be/ogp/smallisbeautifuloncemore2023)
15 Jan 2023
Tailored to Our Emotions
How can we find personalized treatments to help people manager their emotions?
In this episode we talk to Dr. Clair Robbins. Dr. Robbins is a Clinical Psychologist and Stats-of-1 2023 Lead Editor. She currently works as a clinical psychologist as Triangle Area Psychology Clinic in Durham, NC. She is licensed clinical psychologist who specializes in providing evidence-based treatments to patients who find that strong emotions are interfering in their daily lives. She co-authored the second edition of the Unified Protocol for Transdiagnostic Treatment of Emotional Disorders (UP), which is a treatment for common mental health problems such as depression and anxiety.
29 Oct 2022
A Quick Intro to N-of-1 Studies Part 2
What types of N-of-1 exist? In what other fields could N-of-1 studies be useful? What is the main difference between single case and N-of-1 studies? This is Part 2 of a 5 minute introduction into the world of N-of-1.
In this episode we talk to Dr. Eric J. Daza. Dr Daza is a bio-statistician and health data scientist at Evidation, a digital health company. He has worked for 20 years in both industry and academia, in pharma clinical trials, survey sampling, nutrition, maternal/child health, global/international health, health promotion & disease prevention, health tech, digital health, and behavioral medicine. For more from Dr. Daza, find him on Twitter (https://twitter.com/ericjdaza).
9 Oct 2022
A Quick Intro to N-of-1 Studies
What are N-of-1 studies? How are they different from randomized control trials? How are they useful? A 5 minute introduction into the world of N-of-1.
In this episode we talk to Dr. Eric J. Daza. Dr Daza is a biostatistician and health data scientist at Evidation, a digital health company. He has worked for 20 years in both industry and academia, in pharma clinical trials, survey sampling, nutrition, maternal/child health, global/international health, health promotion & disease prevention, healthtech, digital health, and behavioral medicine. For more from Dr. Daza, find him on Twitter (https://twitter.com/ericjdaza).
8 Oct 2022
A population of you!
Wearable data, small datasets, and practical casual Inference! In this episode we talk to Dr. Eric J. Daza.
Dr Daza is a biostatistician and health data scientist at Evidation, a digital health company. He has worked for 20 years in both industry and academia, in pharma clinical trials, survey sampling, nutrition, maternal/child health, global/international health, health promotion & disease prevention, healthtech, digital health, and behavioral medicine. For more from Dr. Daza, find him on Twitter (https://twitter.com/ericjdaza).
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