University of Calgary

Analyze this: Centre provides analytical support for Libin research

UToday HomeMarch 6, 2013

By Judy Siu

The LIAC team, from left:  Dr. Hude Quan, Guanmin Chen PhD, Dr. Brenda Hemmelgarn. Photo by Lynda SeaThe LIAC team, from left: Dr. Hude Quan, Guanmin Chen PhD, Dr. Brenda Hemmelgarn. Photo by Lynda SeaThe Libin Cardiovascular Institute of Alberta had a challenge on its hands.

While the institute’s strategic research plan was being developed, it became clear the institute needed a shared resource to manage health data, to provide epidemiological and statistical consultation, and to translate information into knowledge for action.

As a result, Heart Health Services emerged as one of the Institute’s top priorities for the next three years. To address this new priority, the institute has established a shared resource centre that aims to improve and enhance the quality of research conducted within Libin.

The Libin Institute Analysis Centre (LIAC) is a new resource now available to all Libin Institute members, faculty, staff and students. The centre provides statistical consultation and expertise in the development of research questions, study design, statistical analyses and interpretation, and preparing statistical materials for grants and publications. The centre also provides training and mentoring to graduate students, residents and fellows.

LIAC is led by Dr. Hude Quan, professor in the Faculty of Medicine, and Dr. Brenda Hemmelgarn, associate professor in the departments of Medicine and Community Health Sciences. The LIAC staff has expertise in epidemiology, health services research, biostatistics, and data analysis software and methods. Guanmin Chen, the centre’s research manager biostatistician, received his PhD in China in 1997 and has more than 10 years of experience with health services research methodology using administrative data and statistical counseling. The centre’s services range from simple consultation to complex project data analyses.

“Some clinicians have data, but they don’t know how to synthesize it,” says Quan. “The LIAC will provide analytical and statistical support for translating information and data into knowledge.”

The LIAC does not collect data, but rather, manages health information. It helps researchers based on need, whether that need is helping to identify the appropriate statistical method used for a research project, to produce and interpret statistical reports, or to create tables and figures that best represent their analyses.

The LIAC is still in its infancy but the centre is already receiving requests for their services.

“I am expecting that demands of the LIAC will grow and its contribution to grant development and publications will be significant,” says Quan. “Sustaining the LIAC will be fundamental in the long term.”

 

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