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.

Filter by type: