Contemporary Perspectives in Data Mining
Edited by
Kenneth D. Lawrence;
Kenneth D. Lawrence
New Jersey Institute of Technology
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Ronald K. Klimberg
Ronald K. Klimberg
Saint Joseph’s University
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Status:
Available
Emerald Publishing Limited
ISBN electronic:
978-1-64113-056-1
Publication date:
2017
Book Chapter
Chapter 6: The Hazards of Subgroup Analysis in Randomized Business Experiments and How to Avoid Them
By
B. D. McCullough
B. D. McCullough
Drexel University
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B. D. McCullough
Drexel University
© 2017 Emerald Publishing Limited
2017
Emerald Publishing Limited
Licensed reuse rights only
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Published:2017
Citation
B. D. McCullough, 2017. "The Hazards of Subgroup Analysis in Randomized Business Experiments and How to Avoid Them", Contemporary Perspectives in Data Mining, Kenneth D. Lawrence, Ronald K. Klimberg
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© 2017 Emerald Publishing Limited
2017
Emerald Publishing Limited
Licensed reuse rights only
Experiments are ever more widely used in business. Frequently the experimental units are represented in databases with available covariates, raising the opportunity for subgroup analysis. There are two types of subgroups analyses: hypothesis generation and hypothesis testing. The former is very easy to do, but the latter is difficult. We offer an example of subgroup analysis that shows the pitfalls, and gives rules for avoiding the pitfalls. We also provide a dataset that can be used for classroom exercises.
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