BME 3710 Biomedical Engineering Data Evaluation Principles

Fall 2005

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INSTRUCTORS:         Hamid Shahrestani

OFFICE:                      EC 2677

OFFICE HOURS:       MWF 17:45-19:00

PHONE:                      954-937-6479

EMAIL:                       shahresh@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 Outcomes:

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

FINAL EXAM

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