Abstract
To make meaningful inferences based on our regression models, we must ensure that
we have met the necessary assumptions of these tests. In this commentary, we review
these assumptions and those for the t-test and analysis of variance, and introduce a variety of methods, formal and informal,
numeric and visual, for assessing conformity with the assumptions.
Keywords
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References
- Investigators' corner: assumptions of statistical tests: what lies beneath.J Foot Ankle Surg. 2017; 56: 910-913
- Investigators' corner: snug as a bug: goodness of fit and quality of models.J Foot Ankle Surg. 2017; 56: 1357-1360
- Investigators' corner: mind your p values.J Foot Ankle Surg. 2013; 52: 138-139
- Investigators' corner: turning a negative into a positive.J Foot Ankle Surg. 2013; 52: 556-557
- Investigators' corner: multiple choice answers: what to do when you have too many questions.J Foot Ankle Surg. 2015; 54: 285-286
Article info
Footnotes
Financial Disclosure: None reported.
Conflict of Interest: None reported.
Identification
Copyright
© 2018 by the American College of Foot and Ankle Surgeons. All rights reserved.
