Validating the win-rate of heroes in Dota 2 using instrumental variable estimation

Bachelor thesis (2022)

Authors

D.W. van der Maas Electrical Engineering, Mathematics and Computer Science

Contributors

J.H. Krijthe Pattern Recognition and Bioinformatics - EEMCS (mentor)
R.K.A. Karlsson Pattern Recognition and Bioinformatics - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2022 David van der Maas
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Published Date

24-06-2022

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

This research provides additional insights in to when instrumental variable estimation is a proper method to use when investigating or removing causal effects in randomized experiments. this is done by using instrumental variables on the game Dota 2, in which win-rates of a couple heroes are validated and reviewed to test the effectiveness and usefulness of instrumental variables. The results show mixed signs, for such a complex statistical game with many confounding factors, getting a good variable to work is hard. In the end it is concluded that Dota 2 with its randomized game-mode of single draft is still a too complex experiment to retrieve unbiased results from the instrumental variable estimation method. Therefore it is not advised to use this method in a setting where the environment is is too complex.

Files

Research_paper.pdf
(.pdf | 0.227 Mb)