S1E05: The Don Hedeker Tapes -- Interview With a Rock Star
Nov 26, 2019
auto_awesome
University of Chicago Professor of Biostatistics, Don Hedeker, talks about nonlinear mixed effects models, variance as an outcome, and ecological momentary assessment. The podcast also covers advice for grad students, getting scooped, midlife crises, The Ramones, and sneaking into hotel rooms.
Understanding lag relationships in data analysis is crucial for accurate inference.
Embracing critique and feedback is essential for refining research methodologies and enhancing resilience.
Learning from academic challenges and setbacks is vital for growth and improvement in scholarly pursuits.
Deep dives
Learning from Mistakes and Misconceptions
Mistakes have often led to profound learning experiences. For example, in a dissertation focusing on developing mixed models for longitudinal data analysis, initial results with drug levels and depressive outcomes perplexed the researcher with a non-significant p-value of 0.06. Upon deeper analysis, it was discovered that the methodology was not effectively modeling the lag relationship between the variables, leading to an inaccurate inference. This experience taught the researcher the importance of understanding the nuances of relationships in data analysis beyond surface-level interpretations.
Lessons in Resilience and Learning from Critique
Recounting a moment of academic vulnerability, the researcher shared an early experience at the Psychometric Society where their analysis was critiqued for not accounting appropriately for missing data in longitudinal studies. The aftermath left the researcher shaken, highlighting the impact of feedback and criticism. However, the encounter served as a pivotal lesson in resilience, emphasizing the necessity of embracing critique to refine and enhance research methodologies.
Navigating Rejection and Growth in Academia
Reflecting on the trajectory of academic growth, the researcher emphasized the inevitability of facing rejection and the valuable insights garnered from such experiences. From early presentations critiqued by peers to research outcomes not meeting anticipated results, each setback provided an opportunity for learning and improvement. The message conveyed underscored the significance of perseverance and learning from academic challenges.
The Intriguing Intersection of Music and Academia
Apart from academic endeavors, the researcher delved into their passion for music, particularly their involvement in a polka band named the Polkaholics. The fusion of rock and polka genres in their music reflected a dynamic blend of influences, showcasing their versatile musical interests. Drawing parallels between music and research, the researcher highlighted the creativity and innovation derived from combining diverse elements to forge new pathways.
Honoring Influential Musical Icons and Personal Epiphanies
Navigating a discussion on musical preferences, the researcher pondered between the Sex Pistols and the Ramones, two iconic bands with profound influences in the punk rock genre. Delving into personal experiences with each band, including opening for the Ramones, the researcher expressed admiration for both groups' revolutionary impact on the music industry. Through personal anecdotes and reflections, the researcher illuminated the enduring significance of music in shaping their experiences and perspectives.
Acknowledging Evolution Through Mistakes and Discoveries
By acknowledging instances of mistaken assumptions and misconceptions in their academic journey, the researcher unveiled a pivotal aspect of scholarly growth. The recognition of previously held misconceptions, leading to deeper insights and refined methodologies, underscored the iterative nature of learning and discovery in academia. Through introspection and resilience, the researcher illuminated the transformative power of embracing and overcoming academic challenges.
In this episode of Quantitude, Patrick and Greg have the pleasure of talking with the always-entertaining and high-energy Don Hedeker, University of Chicago Professor of Biostatistics. They discuss Don's work in nonlinear mixed effects models, the importance of variance as an outcome, and ecological momentary assessment, as well as his advice for graduate students and indeed anyone presenting and writing in our field. Also mentioned in this episode are: getting scooped, day jobs, the Brady bunch, German parents, midlife crises, beer salesmen, putting a nail through a fish, The Ramones, Anarchy in the UC, and sneaking into hotel rooms. Come for the stats, stay for the polka-infused rock and roll!
