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BME
3996 Biomedical Engineering Data Evaluation Principles
Summer
2003
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INSTRUCTORS:
Richard T. Schoephoerster
OFFICE: EAS 2602
PHONE: 348-3722
EMAIL: Richard.Schoephoerster@fiu.edu
Textbook:
Required
An Introduction to Medical Statistics, Third Edition
Martin Bland
Oxford Medical Publications
Recommended (Very Highly)
Introduction to Statistical Quality Control, Fourth
Edition
Douglas C. Montgomery
John Wiley & Sons, Inc.
Class
Description:
This
is a second course in statistics for students in the
BS program in biomedical engineering. The course covers
application of statistical and data evaluation methods
to the practice of biomedical engineering. The course
topics can be divided into the following three areas:
1.
Basic Probability and Statistics for Medical Sciences
2. Statistical Process Control and Design of Experiments
for Process Optimization
3. Application of Probabilistic and Statistical Methods
to Clinical Data
Course
Objectives:
By the end of this course, students should be able to:
1.
Use the SPSS software package to compute basic statistical
measures and present data in a variety of graphical
outputs.
2. Compute probabilities of events and interpret probability
density functions.
3. Determine confidence intervals for data and perform
statistical hypothesis testing.
4. Compute and interpret linear correlations between
data.
5. Develop and interpret control charts for statistical
process control.
6. Design experiments to optimize a process, and interpret
the resulting data.
7. Appropriately design clinical experimental and observational
studies.
8. Estimate the repeatability, sensitivity, and specificity
of clinical measurements.
9. Determine the appropriate sample size and resulting
statistical power for a given study design.
10. Choose the appropriate statistical method for a
given problem and data set.
POINTS DISTRIBUTION:
Assignments 10%
Exam I 20%
Exam II 20%
Project and Presentation 15%
Final Exam 35%
TENTATIVE
COURSE OUTLINE
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Session Topic Reference
Note: Chapter #'s in italics are from Montgomery
Basic Probability and Statistics for Medical Sciences
1 Introduction and scope of the class Chapter 1
2 Summarizing and presenting data Chapters 4,5
3 Probability - Binomial and normal distributions Chapters
6,7
4 Estimation - confidence intervals Chapter 8
5 Significance tests Chapter 9
6 Comparing means of small samples - the t-test Chapter
10
7 Comparing means of small samples - ANOVA Chapter 10
8 Regression and Correlation Chapter 11
9 Review
10 EXAM I
Statistical Process Control and Design of Experiments
for Process Optimization
11 Guest Lecture
12 Introduction to Statistical Process Control Chapter
4
13 Control Charts for variables Chapter 5
14 Control Charts for attributes Chapter 6
15 Factorial experiments for process design and improvement
Chapter 12
16 Process optimization with designed experiments Chapter
13
17 Review
18 EXAM II
Application of Statistical and Probabilistic Methods
to Clinical Data
19 Guest Lecture
20 Design of clinical experimental studies Chapter 2
21 Design of clinical observational studies Chapter
3
22 Clinical measurement - repeatability, sensitivity,
specificity Chapter 15
23 Determination of sample size Chapter 18
24 Choosing the statistical method Chapter 14
25 Project Presentation - Dec. 3
FINAL EXAM
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