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Vascular Surgery Research


Instructor: Tim Craven (and others), Department of Biostatistics & Data Science
Office: 2317 Wachovia Center (downtown)
E-mail: tcraven@wakehealth.edu
Office Phone: 716-6109
Meeting Times: Wednesday afternoons (see schedule below)
Meeting Place: Surgery Conference Room 9
Office Hours: by appointment

Downloadable Course Files:

Lectures: Date: Size:
Lecture 7 - Article Review Session 1.ppt  11/19/2008  1437184 
Lecture 6 - Modeling Repeated Measures Data.ppt  11/05/2008  2158080 
Lecture 5 - Categorical and Survival Analyses.ppt  10/14/2008  2382848 
Lecture 4 - Linear Regression Analysis.ppt  10/08/2008  5122048 
Lecture 3 - Descriptive Statistics and Graphical Display of Data.ppt  10/02/2008  1577984 
Lecture 2 - Probability and Inference.ppt  09/17/2008  766976 
Lecture 1 - Study Design.ppt  09/08/2008  959488 

Review Articles: Date: Size:
Moore - Modeling of volume-outocme effect for CEA.pdf  10/24/2008  372564 
Craven - Diet Comparison Study.pdf  10/24/2008  215700 
Davis - Surgeon Volume Rectal Cancer.pdf  10/24/2008  117664 
Keith - Height and Prostate Cancer Risk.pdf  10/24/2008  668499 
Naqvi - Sodium Biccarbonate vs Sodium Chloride in Angiography.pdf  10/24/2008  207002 


Course Description

A seminar course that explores statistical concepts and issues related to study design, data collection and analysis, and interpretation of statistical results in medical literature. 

Course Purpose
To provide Vascular Surgery Fellows instruction on basic techniques in collection and management of research data, general background in study design and techniques of statistical analysis, experience in reviewing and digesting statistical results as reported in the medical literature.  Upon completion of the course, students will:

  • Understand basics of collecting and arraying data in electronic format suitable for statistical analysis
  • Be able to identify various types of study design, epidemiologic measures of association, and techniques of statistical analysis commonly used in medical research
  • Through review of published examples be trained to identify both sound and unsound applications of statistical methods in the medical literature
  • Gain a general knowledge of statistical and epidemiologic methods that will facilitate future interaction with statistics professionals

Textbook
Required: Gehlback SH. Interpreting the Medical Literature (ISBN 0-07-105451-0)
Optional: Dawson B, Trapp RG. Basic and Clinical Biostatistics (ISBN 0-07-141017-1)

 

SCHEDULE

 

Seminar #

Topic

Date

Time

1

Study design and data collection

9/10

1:30 – 3:00

2

Probability and statistical inference

9/17

2:00 – 4:00

3

Data summary measures and graphical display of results

10/1

2:00 – 4:00

4

Survey of statistical analysis techniques (part I)

10/8

2:00 – 4:00

5

Survey of statistical analysis techniques (part II)

10/15

2:00 – 4:00

6

Evidence-based medicine and decision analysis

11/5

2:00 – 4:00

7

Reading and reviewing analyses in medical literature

11/19

2:00 – 4:00

8

Review of student-selected medical publications

12/3

2:00 – 4:00

 

 

 
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