Publications

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Submitted

  • Luke S. Benz, Michael J. Lopez. “Estimating the change in soccer’s home advantage during the Covid-19 pandemic using bivariate Poisson regression,” 2020. (preprint)

  • Liangyuan Hu, Jungang Zou, Chenyang Gu, Jiayi Ji, Michael J. Lopez, Minal Kale. “A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome,” 2021. (preprint)

  • Michael J. Lopez, Christina Mack, Thompson Bliss, Erin B. Wasserman, Emily Myers, Gary Solomon, John Lynch, Anthony Casolaro, Michael Osterholm, Dan Hanfling, Thom Mayer, Allen K. Sills. “Observed versus expected COVID-19 infections among National Football League players during the 2020 season,” 2021.

In press

  • Michael J Lopez, “Bigger data, better questions, and a return to fourth down behavior: an introduction to a special issue on tracking data in the National football League”, Journal of Quantitative Analysis in Sports, 2019. (link, preprint)

  • Michael J. Lopez, Gregory J. Matthews, and Benjamin S. Baumer. “How often does the best team win? A unified approach to understanding randomness in North American sport,” Annals of Applied Statistics, 2018. (link, preprint)

  • Liangyuan Hu, Chenyang Gu, Michael J Lopez, Jiayi Ji, Juan Wisnivesky, “Estimation of Causal Effects of Multiple Treatments in Observational Studies with a Binary Outcome”, Statistical Methods in Medical Research, 2019. (link, preprint)

  • Derrick Yam, Michael J. Lopez, “What was lost? A causal estimate of fourth down behavior in the National Football League”, Journal of Sports Analytics, 2019. (link)

  • Jessica Sullivan, Corrine Moss-Racusin, Michael J. Lopez, Katherine Williams, “Backlash against gender stereotype-violating preschool children”, PLOS ONE, 2018. (link)

  • Michael J. Lopez, Brian Mills, “Opportunistic shirking during unpaid overtime”, Applied Economics Letters, 2019. (link, preprint)

  • Michael J. Lopez, Roee Gutman, “Estimation of causal effects with multiple treatments: a review and new ideas,” Statistical Science, 2017 (link), preprint)

  • Michael J. Lopez, Michael Schuckers, “Predicting coin flips: using resampling and hierarchical modeling to untangle the NHL’s shootout.” Journal of Sports Sciences, 2016 (link)

  • Qi Ge, Michael J. Lopez, “Labor disputes and worker productivity: evidence from the National Hockey League,” Journal of Sports Economics, 2016 (link)

  • Michael J. Lopez, “Persuaded under pressure: evidence from the National Football League.” Economic Inquiry, 2015 (link)

  • Michael J. Lopez, “Inefficiencies in the National Hockey League’s Points System and the Teams that Take Advantage,” Journal of Sports Economics, 2015, 16-4 (link)

  • Kevin Snyder, Michael J. Lopez, “Players, passivity, and penalties; a study of aggression in the NFL,” Journal of Quantitative Analysis in Sports, 2015 (link)

  • Zachary Drapkin, Kristen Lindgren, Michael J. Lopez, Maureen Estevez, “Development and assessment of a new 3D neuroanatomy teaching tool for MRI training,” Anatomical Sciences Education, 2015 (link)

  • Michael J. Lopez, Gregory Matthews, “Building an NCAA men’s basketball predictive model and quantifying its success,” Journal of Quantitative Analysis in Sports, 2015, 11-1 (link)

  • Michael J. Lopez, Roee Gutman, “Estimating the causal effects of nutritional label use using subclassification with regression adjustment,” Statistical Methods in Medical Research, 2014 (link)

  • Jeffrey Guenette, Michael J. Lopez, Eunhee Kim, Damian Dupuy, “Correlation of Imaging-Features with Pain Palliation Following Radiofrequency Ablation of Solitary Painful Osseous Metastases,” Radiology, 2013, 268-3. (link)

  • Michael J. Lopez, Kevin Snyder, “Biased Impartiality Among National Hockey League Referees,” International Journal of Sport Finance, 2013, 8-3. (link)

  • Susanna E Winston, Brian T Montague, Michael J. Lopez, Allison Delong, Chloe Le Marchand, Armando Bedoya, Fizza Gillani and Curt G Beckwith, “Evaluation of longitudinal clinical outcomes and adherence to care among HIV-infected refugees,” Journal of the International Association of Physicians in AIDS Care, 2012, 12-3. (link)

  • Michael J. Lopez, Book review for the American Statistician: “Data Analysis for the Life Sciences with R” by R. Irizarry, 2017.

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