Karl Peace

Professor, Georgia Cancer Coalition Distinguished Cancer Scholar, Jiann-Ping College of Public Health Georgia Southern University

  • Statesboro GA

Karl Peace researches biostatistics, clinical trials and drug research and development.

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Online with an upside. Find out how Georgia Southern is making education accessible from anywhere – in a field with societal benefits

Beginning in Fall 2020 Georgia Southern University will offer its first fully online Master of Public Health (MPH) degree with a concentration in applied public health.  “For those who do not have the ability to enroll in one of our on-campus MPH concentrations, the online applied public health option would be ideal for anyone passionate about improving health and making a difference in their community,” stated Interim Dean Stuart Tedders, Ph.D. Students will complete a broad-based program of study with a focus on public health education, information and advocacy, and with the flexibility to tailor their elective options. Students will apply their skills and knowledge to become front-line public health practitioners or public health leaders.  Academic advisors and technical support will be provided to all students enrolled in the online master’s program. Additionally, the online program includes a field experience located within reach of the student’s location. Are you a journalist looking to cover this topic or learn more about Georgia Southern University and the programs it offers? Simply contact Melanie Simón at 912.344.2904 to arrange an interview or contact Karl Peace via his icon directly.

Karl Peace

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Biography

Dr. Peace began a career in biostatistics in the pharmaceutical industry in 1978. After rising from an entry-level biostatistician position at Burroughs-Wellcome to vice president of worldwide technical operations at Parke-Davis/Warner Lambert, he started Biopharmaceutical Research Consultants Inc. in 1989. Dozens of international biotech and pharmaceutical companies relied on his expertise and he played a key role in the development and regulatory approval of dozens of medicines, including drugs used to treat Alzheimer’s disease, hypertension, arthritis, anxiety, depression and panic attacks, and gastrointestinal ulcers. At the same time, Peace kept one foot in the classroom, serving as an adjunct faculty member at Duke University, the MCV, the University of Michigan, The University of North Carolina, Temple University, and Virginia Commonwealth University. Peace approached Georgia Southern University officials in 1998 with a plan to establish a biostatistics center at the university, a corresponding program of study in biostatistics at the graduate level, and a school of public health. He returned to the Statesboro, Georgia, campus in the fall of 2000, when Georgia Southern began to offer the masters of public health degree in biostatistics that he and Charles Hardy developed. In 2004, his endowment to honor his late wife led to the creation of the Jiann-Ping Hsu College of Public Health (JPHCOPH), the first college or school of public health in the University System of Georgia (USG). In creating the JPHCOPH, the board of regents also named the center for biostatistics the Karl E. Peace Center for Biostatistics. He is author, co-author or editor of 15 books, 22 book chapters and over 100 articles in the scientific, medical or biostatistical literature; and is the recipient of over 50 prestigious awards. He has donated much of his time, talent and treasure to create opportunities for others, particularly our youth, to improve their lots and selves.

Areas of Expertise

Clinical Trials
Pharmaceutical Research
Health & Disease
Health Sciences
Biostatistics
Clinical Development

Accomplishments

Commendation from the Virginia General Assembly

2014
For “a prolific biostatistician and devoted educator, [who] has contributed immensely to his field and inspired countless students at the Medical College of Virginia and other universities to achieve greatness in science and medicine.

GPHA Sellers-McCroan Award Recipient

2014
For Improving Public Health through academic and laboratory advancement

Special Presidential Award for Service: International Chinese Statistical Association

2012

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Education

Medical College of Virginia

Ph.D.

Biostatistics

1976

Clemson University

M.S.

Mathematics

1964

Georgia Southern University

B.S.

Chemistry

1963

Articles

Number Needed to Treat in Multiple Sclerosis Clinical Trials

Neurol Ther.

Okuokenye M, Zhang A, Pace, A, Peace KE

2017

Clinicians are expected to select a therapy based on their appraisal of evidence on benefit-to-risk profiles of therapies. In the management of relapsing-remitting multiple sclerosis (RRMS), evidence is typically expressed in terms of risk (proportion) of event, risk reduction, relative and hazard rate reduction, or relative reduction in the mean number of magnetic resonance imaging lesions. Interpreting treatment effect using these measures from a RRMS clinical trial is fairly reliable; however, this might not be the case when treatment effect is expressed in terms of the number needed to treat (NNT).

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A Serious Flaw in Nutrition Epidemiology: A Meta-Analysis Study.

American Journal of Nutrition

Peace KE, Yin JJ, Roschani H, Pandeya S, Young SSY

2017

Many researchers have studied the relationship between diet and health. Specifically, there are papers showing an association between the consumption of sugar sweetened beverages and Type 2 diabetes. Many meta-analyses use individual studies that do not attempt to adjust for multiple testing or multiple modeling. Hence the claims reported in a meta-analysis paper may be unreliable as the base papers do not ensure unbiased statistics.

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A comparison of size and power of tests of hypotheses on parameters based on two generalized Lindley distributions

Communications for Statistical Applications and Methods

M Okwuokenye, KE Peace

2016

This study compares two generalized Lindley distributions and assesses consistency between theoretical and analytical results. Data (complete and censored) assumed to follow the Lindley distribution are generated and analyzed using two generalized Lindley distributions, and maximum likelihood estimates of parameters from the generalized distributions are obtained. Size and power of tests of hypotheses on the parameters are assessed drawing on asymptotic properties of the maximum likelihood estimates. Results suggest that whereas size of some of the tests of hypotheses based on the considered generalized distributions are essentially α-level, some are possibly not; power of tests of hypotheses on the Lindley distribution parameter from the two distributions differs.

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