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Risk-evaluation in clinical diagnostic studies
- Date Issued:
- 2011
- Summary:
- The efforts addressed in this thesis refer to applying nonlinear risk predictive techniques based on logistic regression to medical diagnostic test data. This study is motivated and pursued to address the following: 1. To extend logistic regression model of biostatistics to medical informatics 2. Computational preemptive and predictive testing to determine the probability of occurrence (p) of an event by fitting a data set to a (logit function) logistic curve: Finding upper and lower bounds on p based on stochastical considerations 3. Using the model developed on available (clinical) data to illustrate the bounds-limited performance of the prediction. Relevant analytical methods, computational efforts and simulated results are presented. Using the results compiled, the risk evaluation in medical diagnostics is discussed with real-world examples. Conclusions are enumerated and inferences are made with directions for future studies.
Title: | Risk-evaluation in clinical diagnostic studies: ascertaining statistical bounds via logistic regression of medical informatics data. |
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48 downloads |
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Name(s): |
Dupont, Alice Norm. College of Engineering and Computer Science Department of Computer and Electrical Engineering and Computer Science |
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Type of Resource: | text | |
Genre: | Electronic Thesis Or Dissertation | |
Date Issued: | 2011 | |
Publisher: | Florida Atlantic University | |
Physical Form: | electronic | |
Extent: | xi, 84 p. : ill. (some col.) | |
Language(s): | English | |
Summary: | The efforts addressed in this thesis refer to applying nonlinear risk predictive techniques based on logistic regression to medical diagnostic test data. This study is motivated and pursued to address the following: 1. To extend logistic regression model of biostatistics to medical informatics 2. Computational preemptive and predictive testing to determine the probability of occurrence (p) of an event by fitting a data set to a (logit function) logistic curve: Finding upper and lower bounds on p based on stochastical considerations 3. Using the model developed on available (clinical) data to illustrate the bounds-limited performance of the prediction. Relevant analytical methods, computational efforts and simulated results are presented. Using the results compiled, the risk evaluation in medical diagnostics is discussed with real-world examples. Conclusions are enumerated and inferences are made with directions for future studies. | |
Identifier: | 773279148 (oclc), 3332187 (digitool), FADT3332187 (IID), fau:3771 (fedora) | |
Note(s): |
by Alice Horn Dupont. Thesis (M.S.C.S.)--Florida Atlantic University, 2011. Includes bibliography. Electronic reproduction. Boca Raton, Fla., 2011. Mode of access: World Wide Web. |
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Subject(s): |
Medical informatics Clinical medicine -- Decision making -- Data processing Medical protocols Medicine -- Research -- Statistical methods |
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Persistent Link to This Record: | http://purl.flvc.org/FAU/3332187 | |
Use and Reproduction: | http://rightsstatements.org/vocab/InC/1.0/ | |
Host Institution: | FAU |