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Casual Inference - Pros and Cons of Randomized Controlled Trials | Season 5 Episode 1

Pros and Cons of Randomized Controlled Trials | Season 5 Episode 1

02/21/24 • 17 min

Casual Inference

Ellie and Lucy kick off the season and introduce our new executive buzzer, Melita! Melita is a masters student in statistics at Wake Forest University and will be helping out with the podcast (and keeping Lucy and Ellie from using too much jargon!)

Pros & Cons of RCT paper:

  • Fernainy, P., Cohen, A.A., Murray, E. et al. Rethinking the pros and cons of randomized controlled trials and observational studies in the era of big data and advanced methods: a panel discussion. BMC Proc 18 (Suppl 2), 1 (2024). https://doi.org/10.1186/s12919-023-00285-8

Follow along on Twitter:

🎶 Our intro/outro music is courtesy of Joseph McDadeEdited by Cameron Bopp

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Ellie and Lucy kick off the season and introduce our new executive buzzer, Melita! Melita is a masters student in statistics at Wake Forest University and will be helping out with the podcast (and keeping Lucy and Ellie from using too much jargon!)

Pros & Cons of RCT paper:

  • Fernainy, P., Cohen, A.A., Murray, E. et al. Rethinking the pros and cons of randomized controlled trials and observational studies in the era of big data and advanced methods: a panel discussion. BMC Proc 18 (Suppl 2), 1 (2024). https://doi.org/10.1186/s12919-023-00285-8

Follow along on Twitter:

🎶 Our intro/outro music is courtesy of Joseph McDadeEdited by Cameron Bopp

Previous Episode

undefined - Remembering Ralph B. D'Agostino, Sr.

Remembering Ralph B. D'Agostino, Sr.

We are re-releasing an episode from 2021 in remembrance of Ralph D'Agostino, Sr.

Ellie Murray and Lucy D’Agostino McGowan chat with Ralph D’Agostino Sr. and Ralph D’Agostino Jr. about their careers in statistics, looking back at how things have developed and forward at where they see the world of statistics and epidemiology going.

Ralph D’Agostino Sr. was a professor of Mathematics/Statistics, Biostatistics, and Epidemiology at Boston University. He was the lead biostatistician for the Framingham Heart Study, a biostatistical consultant to The New England Journal of Medicine, an editor of Statistics in Medicine and lead editor of their Tutorials, and a member and consultant on FDA committees. His major fields of research were clinical trials, prognostic models, longitudinal analysis, multivariate analysis, robustness, and outcomes/effectiveness research.

Ralph D’Agostino Jr. is a professor in the Department of Biostatistics and Data Science at Wake Forest University where he is the Director of the Biostatistics Core of the Comprehensive Cancer Center. Methodologically his research includes developing statistical techniques for evaluating data from observational settings, handling missing data in applied problems, and developing predictive functions to identify prospectively patients at elevated risk for future negative outcomes. Some of his recent work includes the development of methods using propensity score models to identify safety signals in large retrospective databases.

Next Episode

undefined - Targeted Learning with Mar van der Laan | Season 5 Episode 2

Targeted Learning with Mar van der Laan | Season 5 Episode 2

Mark van der Laan is a professor of statistics at the University of California, Berkeley. His research focuses on developing statistical methods to estimate causal and non-causal parameters of interest, based on potentially complex and high dimensional data from randomized clinical trials or observational longitudinal studies, or from cross-sectional studies.

Follow along on Twitter:

🎶 Our intro/outro music is courtesy of Joseph McDadeEdited by Cameron Bopp

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