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.    Center for Targeted Learning, Berkeley: https://ctml.berkeley.edu/   A causal roadmap: https://pubmed.ncbi.nlm.nih.gov/37900353/    Short course on causal learning: https://ctml.berkeley.edu/introduction-causal-inference    Handbook on the TLverse (Targeted Learning in R):  https://ctml.berkeley.edu/publications/targeted-learning-handbook-causal-machine-learning-and-inference-tlverse-r-software   Mark on twitter: @mark_vdlaan  Follow along on Twitter:   The American Journal of Epidemiology: @AmJEpi   Ellie: @EpiEllie   Lucy: @LucyStats   🎶 Our intro/outro music is courtesy of Joseph McDadeEdited by Cameron Bopp

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

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:   The American Journal of Epidemiology: @AmJEpi   Ellie: @EpiEllie   Lucy: @LucyStats   🎶 Our intro/outro music is courtesy of Joseph McDadeEdited by Cameron Bopp

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

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. 

Remembering Ralph B. D'Agostino, Sr.

Ellie and Lucy chat with Dr. Cat Hicks, VP of Research Insights and Director of Developer Success Lab at Pluralsight Flow, about evidence science.    Follow along on Twitter:  Cat: @grimalkina The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats  🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com

Evidence Science with Cat Hicks | Season 4 Episode 11

Lucy D'Agostino McGowan and Ellie Murray chat about a "Causal Quartet" and spend some extra time on M-Bias!    Lucy, Travis, & Malcom's Causal Quartet Paper Lucy's quartets R package Follow along on Twitter:  The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats  🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com

M-Bias: Much Ado About Nothing? | Season 4 Episode 10

Lucy D'Agostino McGowan and Ellie Murray chat about ENAR 2023 and Targeted Learning! Targeted Learning in R Handbook Follow along on Twitter:  The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats  🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com

Thinking about Targeted Learning | Season 4 Episode 9

Lucy D'Agostino McGowan and Ellie Murray chat with #EpiCookieChallenge winner, Viktoria Gastens! Follow along on Twitter:  The American Journal of Epidemiology: @AmJEpi Viktoria: @VikiGastens Viktoria's Lab: @PopHealthLabCH Ellie: @EpiEllie Lucy: @LucyStats  🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com

Prevention Strategies via the #Epicookiechallenge | Season 4 Episode 8

Lucy D'Agostino McGowan and Ellie Murray chat about confounding!  ✍️ Lucy's new paper: Sensitivity Analyses for Unmeasured Confounders Follow along on Twitter:  The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats  🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com

Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7

Lucy D'Agostino McGowan and Ellie Murray chat about randomized controlled trials, thinking about efficacy vs effectiveness and saftey vs safetiness. ✍️ Frank Harrell's blog post "Randomized Clinical Trials Do Not Mimic Clinical Practice, Thank Goodness" Follow along on Twitter:  The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats  🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com

Randomized Controlled Trials: Efficacy versus Effectiveness, Safety vs Safetiness | Season 4 Episode 6

Lucy D'Agostino McGowan and Ellie Murray chat with Maria Glymour, Professor of Epidemiology & Biostatstics at UCSF and incoming chair of the Department of Epidemiology at Boston University. Maria successfully convinces Ellie and Lucy that instrumental variables can be very useful in epidemiology.  Follow up: ✍️ Andrew Heiss's blog post on marginal and conditional effects for GLMMs Follow along on Twitter:  Maria Glymour: @MariaGlymour The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats  🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com

The Value of Instrumental Variables with Maria Glymour | Season 4 Episode 5

Lucy D'Agostino McGowan and Ellie Murray chat about critiquing methods research, average treatment effects, and positivity violations! Follow along on Twitter:  The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats  🎶 Our intro/outro music is courtesy of Joseph McDade

Methods chat about personalized medicine and positivity in causal inference | Season 4 Episode 4

Lucy D'Agostino McGowan and Ellie Murray chat with Travis Gerke, Director of Data Science at The Prostate Cancer Clinical Trials Consortium (PCCTC). This episode has lots of hot takes and lots of love for logistic regression! Follow along on Twitter:  Travis Gerke: @travisgerke The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats  🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com

Hot takes and logistic regression love with Travis Gerke | Season 4 Episode 3

Lucy D'Agostino McGowan and Ellie Murray chat about counterfactuals! Follow along on Twitter:  The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats  🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com

Counterfactual Thinking: Biomarkers, Napster, and Ice-T | Season 4 Episode 2

In this episode Ellie Murray and Lucy D'Agostino McGowan chat with Enrique Schisterman, Perelman Professor and Chair of the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania, about the future of epidemiology. Follow along on Twitter:  Enrique: @eschisterman1 The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats  🎶 Our intro/outro music is courtesy of Joseph McDade

Population and Biomedical Data Science with Enrique Schisterman | Season 4 Episode 1

In this episode we play the audio from a recent panel discussion co-sponsored by UNC TraCS, Duke University and Wake Forest U CTSA Biostatistics, Epidemiology and Research Design (BERD) Cores. The panelists were Charles Poole (Associate Professor of Epidemiology, UNC) Lucy D'Agostino McGowan, and Charles Scales (Associate Professor of Surgery, Duke University) and it was facilitated by Marcella Boynton (Assistant Professor, General Internal Medicine, UNC/NC TraCS). 🎥 The video of the panel can be found here 🎞 Lucy's slides 📃 The ASA Statement on p-values 📃 The American Statistician issue on p-values following the SSI conference Follow along on Twitter:  The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats  🎶 Our intro/outro music is courtesy of Joseph McDade

What is the value of a p-value with Charlie Poole and Chuck Scales | Season 3 Episode 13

In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Sander Greenland, Emeritus Professor of Epidemiology and Statistics at UCLA. Follow along on Twitter:  The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats  🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose:  aspiringrobot.com

It Depends with Sander Greenland | Season 3 Episode 12

In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Toyya Pujol, Operations Researcher at RAND Corporation. Follow along on Twitter:  Toyya: @toyyapujol The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats   

The Intersection of Industrial Engineering and Causal Inference with Toyya Pujol | Season 3 Episode 11

In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Maggie Makar, Presidential postdoctoral fellow and assistant professor in Computer Science and Engineering at the University of Michigan. Follow along on Twitter:  Maggie: @Maggiemakar The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats  Slide link: https://bit.ly/3DnQai5 🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose:  aspiringrobot.com

The Intersection of Machine Learning and Causal Inference with Maggie Makar | Season 3 Episode 10

In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Judea Pearl, Chancellor professor of computer science and statistics at the University of California, Los Angeles. 📄 Judea's recent papers 📖 Book of Why Follow along on Twitter:  Judea: @yudapearl The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats  Slide link: https://bit.ly/3DnQai5 🎶 Our intro/outro music is courtesy of Joseph McDade  

Artificial Intelligence, Personalized Medicine, and Causal Bounds with Judea Pearl | Season 3 Episode 9

In this episode Lucy D'Agostino McGowan and Ellie Murray chat with #EpiCookieChallenge winner, Chris Schaich about the epidemiologist John Snow. Dr. Schaich is an assistant professor at Wake Forest School of Medicine in the Hypertension and Vascular Research Center. Follow along on Twitter:  Chris: @Chris_Schaich The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats  Slide link: https://bit.ly/3DnQai5 🎶 Our intro/outro music is courtesy of Joseph McDade  

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