Project Director
Gao, Cuilan
Department Examiner
Ledoan, Andrew; Saleh, Ossama
Publisher
University of Tennessee at Chattanooga
Place of Publication
Chattanooga (Tenn.)
Abstract
Resident clinics (RCs) are intended to catalyze the achievement of educational milestones through progressively autonomous patient care. However, few studies quantify their effect on competency-based surgical education, and no previous publications focus on hand surgery RCs. This study aims to use statistical theories and knowledge of descriptive statistics and inference statistics, such as confidence intervals, two sample t-tests, correlation and association tests, as well as statistical model building such as analysis of variance with random effects and mixed linear models. We hypothesize that the higher a resident’s training years, the higher the autonomy score (quality of surgery) will be. We found that the mixed linear regression model with fixed factors: training level and surgery type and one random factor: residents, appears to be the best model to predict the autonomy score. Therefore, we conclude that the progressive autonomy score of a resident on a hand surgery depends on both the training levels of the resident and the type of surgery that the residents conducted. In addition, the performance may also vary from resident to resident given the same training level and surgery type.
Acknowledgments
I would first like to thank Dr. Gao, as she has provided me with endless support, encouragement, and patience. Completion of the thesis would not have been possible without her prompt and constructive feedback. I also want to thank Dr. Ledoan for suggesting that students pursue an undergraduate thesis and for his willingness to serve on my thesis committee. I am also thankful for the additional support from Dr. Saleh. Although I have never been his student, he generously agreed to serve on the thesis committee.
Degree
B. S.; An honors thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Bachelor of Science.
Date
12-2017
Subject
Hand -- Wounds and injuries; Hand -- Surgery; Medical education
Discipline
Mathematics
Document Type
Theses
Extent
29 leaves
DCMI Type
Text
Language
English
Rights
http://rightsstatements.org/vocab/InC/1.0/
License
http://creativecommons.org/licenses/by-nc-nd/3.0/
Recommended Citation
Ross, Zoe Michelle, "Statistical linear mixed models for evaluation of training program in hand surgery chief residents" (2017). Honors Theses.
https://scholar.utc.edu/honors-theses/122
Department
Dept. of Mathematics