Curriculum Vitae
Susan Elizabeth Telke
7124 Mark Terrace Drive
Edina, MN 55439
(612) 590.2697
Education:
M.S. Biostatistics, University of Minnesota, Twin Cities, 1998
Thesis Title: Analysis of Repeated Events Data in the CPCRA Women’s Fungal Study
Thesis Advisors: Tom Louis, Li Chen
B.S. Art, University of Wisconsin, Madison, 1991
Summa cum laude - 1991
Professional Experience:
July 2005 - Present: Instructor, Division of Biostatistics, School of Public Health, University of Minnesota
- Twin Cities
Aug 1998 - Jan 2003: Community Faculty, Metropolitan State University St. Paul, Minnesota
Aug 2000 - Jan 2003: Research Fellow, Coordinating Centers for Biometric Research, Division of
Biostatistics, University of Minnesota - Twin Cities
Sept 1996 - July 1998: Graduate Research Assistant, Coordinating Centers for Biometric Research,
Division of Biostatistics, University of Minnesota - Twin Cities
Honors:
Letter of Commendation from the University of Minnesota School of Public Health Dean and Educational
Policy Committee for excellence in core course teaching, received every semester since its onset in fall
2008
Charles N. Hewitt Creative Teaching Award School of Public Health, University of Minnesota, 2009
National Institute of Health Traineeship - 1998
Courses taught at University of Minnesota:
Teaching evaluations summarized below are based on the following questions: Q1: “How would you rate
the instructor’s overall teaching ability?” Q2: “The instructor treated me with respect.” Q3: “I have a
deeper understanding of the subject matter as a result of this course.” Q1 was answered on the scale
1=very poor, 2=poor, 3=satisfactory, 4=very good, 5=excellent, 6=exceptional. Q2 and Q3 were answered
on the scale of 1=strongly disagree to 6=strongly agree.
•
PubH 6414 Biostatistical Methods I (3 semester credits), an MPH core course. Course content:
Descriptive statistics. Gaussian probability models, point/interval estimation for
means/proportions. Hypothesis testing, including t, chi-square, and nonparametric tests. Simple
regression/correlation. ANOVA. Analysis and interpretation of health science applications using
output from statistical packages. Content delivery: Lectures, group project conducting a clinical
study using a virtual population with presentation, case studies with application and
interpretation of statistical methods, audience response systems, computer lab case studies
with statistical software R Commander. Student evaluation: Homework, class project with
presentation and exams. Student audience: MPH/MS/PhD students in the allied health
sciences, academic clinical researchers. Semesters taught: 8. Teaching evaluations: Q1 median
5.5 , Q2 median 6, Q3 median 6. Medians based on 279 student evaluations.
•
PubH 6415 Biostatistical Methods II (3 semester credits). Course content: ANOVA, Linear and
logistic regression. Survival analysis. Power and sample size. Analysis and interpretation of
health science applications using output from statistical packages. Content delivery: Lectures,
case studies with application and interpretation of statistical methods, audience response
systems (in person only), computer lab case studies with statistical software R. Student
evaluation: Homework, class project with presentation and exams. Student audience:
MPH/MS/PhD students in the allied health sciences, academic clinical researchers. Semesters
taught: 4 in-person, 12 online (includes summers). Teaching evaluations: Q1 median 5, Q2
median 6, Q3 median 5.5. Medians based on 190 student evaluations.
•
PubH 6450 Biostatistics I (4 semester credits), an MPH core course. Course content: Descriptive
statistics. Gaussian probability models, point/interval estimation for means/proportions.
Hypothesis testing, including t, chi-square, and nonparametric tests. Simple
regression/correlation. ANOVA. Analysis and interpretation of health science applications using
output from statistical packages. Content delivery: Lectures, case studies with application and
interpretation of statistical methods, audience response systems, computer lab case studies
with statistical software SAS. Student evaluation: Homeworks and exams. Student audience:
MPH/MS/PhD students in the allied health sciences, academic clinical researchers. Semesters
taught: 6 Teaching evaluations: Q1 median 5, Q2 median 6, Q3 median 5.5. Medians based on
185 student evaluations.
•
PubH 7415 Introduction to Clinical Trials (3 semester credits). Course content: Hypotheses and
endpoints, choice of intervention and control, ethical considerations, blinding and
randomization, data collection and monitoring, sample size, analysis strategies, and writing of
the protocol. Content delivery: Online. Motivating examples from published research, audio
lecture presentation, readings in texts and research literature, interactive discussion boards,
video delivered by experts, and optional enrichment materials. Student evaluation:
Homeworks, exams, postings to discussion boards, group development of a clinical trial protocol
including peer evaluation of participation. Student audience: MPH/MS/PhD students in the
allied health sciences, academic clinical researchers. Semesters taught: 6 Teaching evaluations:
Q1 median 5, Q2 median 6 Q3 median 6. Medians based on 40 student evaluations.
Courses developed at University of Minnesota:
•
PubH 6415 Biostatistical Methods II. Responsible (100%) for transitioning course content of the
classroom 6415 to the WebCT online environment (2007). Responsible (100%) for transitioning
the online course from WebCT to Moodle (2010).
•
PubH 7415 Introduction to Clinical Trials. Responsible (100%) for the vision, development, and
implementation of this brand new course in the Moodle online environment (2010-2011).
•
PubH 6414-6415 Biostatistical Methods I and II. Responsible (50%) for the re-design of this twosemester sequence to a single semester course to be offered both in classroom and online
(2012-present).
Courses taught at Metropolitan State University:
Stat201 (3 semester credits), Course content: Descriptive statistics. Gaussian probability models,
point/interval estimation for means/proportions. Hypothesis testing, including t, chi-square, and
nonparametric tests. Content delivery: Lectures, case studies with application and interpretation of
statistical methods. Student evaluation: Homework and exams. Student audience: Nontraditional
undergraduate students.
Graduate student mentoring:
I also serve on the M.S. faculty committees for students outside biostatistics, in the School of Public
Health (two to three per year).
Publications:
Telke SE and Eberly LE (2011). Statistical hypothesis testing: associating patient characteristics with an
incident condition - Kaplan-Meier curves, hazard ratios, and Cox proportional hazards regression.
JWOCN 38(6):621-626
Telke SE and Eberly LE (2011). Statistical hypothesis testing: associating patient characteristics with a
prevalent or incident condition - relative risk, odds ratio and logistic regression. JWOCN 38(5):496-500
Telke SE and Eberly LE (2011). Statistical hypothesis testing: determining agreement between tests and
testers when measuring clinical conditions. JWOCN 38(4): 351-354
Telke SE and Eberly LE (2011). Statistical hypothesis testing: correlating two numeric patient
characteristics. JWOCN 38(3): 1-6.
Eberly LE and Telke SE (2011). Statistical hypothesis testing: comparison of means across multiple
patient groups. JWOCN, 38(2): 128-131
Eberly LE and Telke SE (2011). Statistical hypothesis testing: motivation and methods for the comparison
of means between two patient samples. JWOCN, 38(1):18-20
The ESPRIT Research Group (2007). Predictors of CD4 count change over 8 months of follow up in HIV-1infected patients with a CD4 count≥300 cells/μL who were assigned to 7.5 MIU interleukin-2. HIV
Medicine 8(2):112-123
Han C, Pulling CC , Telke SE, Hullsiek KH (2002). Assessing the utility of five domains in SF-12 health
status questionnaire in an AIDS clinical trial, AIDS 16(3) 431-439
Professional Service:
School of Public Health Technology Enhanced Learning: Policy and Procedures Committee -2011
Curriculum committee, Division of Biostatistics -2011 to present
Service Courses Teaching Development Group, Division of Biostatistics- 2011 to present
School of Public Health Mercy Learning Lab Development Team - 2010
Grant support (past 3 years):
NIH 1 T15 HL117414-01 (J. Neaton)
3/1/13-2/29/16
Minnesota Summer Institute for Training in Biostatistics
$247,910
There is a national shortage of qualified biostatisticians. This 6-week summer training program
addresses this shortage by stimulating undergraduate students to pursue careers in biostatistics. The
training will be provided by a group of faculty known for their teaching ability in biostatistics and
epidemiology, and by seminar speakers who lead important heart and lung research projects. As part of
the program, trainees will go on field trips designed to exemplify the breadth of career opportunities for
biostatisticians. Role: Co-Investigator; salary support: calendar months .9(7.5%)
Teaching Seminars Presented:
Digital Learning Group, School of Public Health, University of Minnesota: Using Audience Response
Systems in a Large Classroom Setting, January 2010
Online Courses & Trainings (non-credit) Developed:
Introduction to Biostatistics: Training module for Centers for Public Health Education and Outreach in
the School of Public to gently introduce or review basic topics in biostatistics (2008).
Introduction to Biostatistics 2: Training module extends topics from module above (2009).
Computing Experience
SAS, R Commander, R, WebCT, Moodle, Camtasia, Presenter, VoiceThread