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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

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Estimating an NBA players impact on his teams chances of winning

Published in Journal of Quantitative Analysis in Sport, 2016

An version of Adjusted Plus/Minus that automatically accounts for the context in which players perform.

Recommended citation:
Deshpande, S.K. and Jensen, S.T., (2016). "Estimating an NBA players impact on his teams chances of winning " Journal of Quantitative Analysis in Sport . 12(2): 51 - 72

Association of playing high school football with cognition and mental health later in life

Published in JAMA Neurology, 2017

An observational study about the effects of playing high school football on later-life cognition and mental health among men who attended high school in Wisconsin in the mid-1950s

Recommended citation:
Deshpande, S.K., Hasegawa, R.B., Rabinowitz, A.R., Whyte, J., Roan, C.L., Tabatabaei, A., Baiocchi, M., Karlawish, J.H., Master, C.L., and Small, D.S. (2017). " Association of playing high school football with cognition and mental health later in life " JAMA Neurology . 74(8): 909 - 918.

A hierarchical Bayesian model of pitch framing

Published in Journal of Quantitative Analysis in Sports, 2017

We estimate and quantify the uncertainty about how much value a catcher adds by " turning balls into strikes "

Recommended citation:
Deshpande, S.K. and Wyner, A. (2017). "A hierarchical Bayesian model of pitch framing." Journal of Quantitative Analysis in Sports. 13(3): 95 - 112.

Simultaneous variable and covariance selection with the multivariate spike-and-slab LASSO

Published in Journal of Computational and Graphical Statistics, 2019

We develop an ECM algorithm for MAP estimation in sparse multi-output linear regression with spike-and-slab priors.

Recommended citation:
Deshpande, S.K., Rockova, V., and George, E.I. (2019). "Simultaneous variable and covariance selection with the multivariate spike-and-slab LASSO." Journal of Computational and Graphical Statistics.

Expected hypothetical completion probability

Accepted at Journal of Quantitative Analysis in Sports, 2019

Our entry to 2019 NFL Big Data Bowl contest for estimating the probability a wide receiver catches a pass at all points along his route

Recommended citation:
Deshpande, S.K. and Evans, K.E. (2019). "Expected hypothetical completion probability." Journal of Quantitative Analysis in Sports.

Causal inference with two versions of treatment

Accepted at Journal of Educational and Behavioral Statistics, 2020

Abstract : Causal effects are commonly defined as comparisons of the potential outcomes under treatment and control, but this definition is threatened by the possibility that either the treatment or the control condition is not well defined, existing instead in more than one version. This is often a real possibility in nonexperimental or observational studies of treatments because these treatments occur in the natural or social world without the laboratory control needed to ensure identically the same treatment or control condition occurs in every instance. We consider the simplest case: Either the treatment condition or the control condition exists in two versions that are easily recognized in the data but are of uncertain, perhaps doubtful, relevance, for example, branded Advil versus generic ibuprofen. Common practice does not address versions of treatment: Typically, the issue is either ignored or explicitly stated but assumed to be absent. Common practice is reluctant to address two versions of treatment because the obvious solution entails dividing the data into two parts with two analyses, thereby (a) reducing power to detect versions of treatment in each part, (b) creating problems of multiple inference in coordinating the two analyses, and (c) failing to report a single primary analysis that uses everyone.

Recommended citation:
Hasegawa, R.B., Deshpande, S.K., Small, D.S., Rosenbaum, P.R. (2020). "Causal inference with two versions of treatment." Journal of Educational and Behavioral Statistics .

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