The UAB Cystic Fibrosis Research Center (CFRC) has been awarded a grant through the CF Foundation’s Statistical Expertise Network (CF StatNet) to establish a dedicated statistical support infrastructure for enhanced productivity and scientific rigor of CF studies. CF StatNet-UAB investigators include Elizabeth Baker, PhD (statistical trainee), Lloyd Edwards, PhD (statistical mentor), and Jennifer Guimbellot, MD, PhD (Principal Investigator).

CF StatNet provides the following services to investigators conducting research in cystic fibrosis:

1) One-on-one consultations for clinical research
2) Methodological expertise in study design
3) Data analysis

CF StatNet offers expertise in:

* Population-based data
* CF Foundation Patient Registry data
* Statistical techniques to combine multiple data sources
* Social determinants of health
* Quantitative methodology
* Longitudinal data analysis
* Predictive models for lung function decline
* Linear and generalized linear mixed models
* Generalized estimating equations
* Missing data (multiple imputations and maximum likelihood estimation)

Investigators can submit requests for statistical support to CF StatNet-UAB using the form below and submit (if using a Word version of the form email to jguimbellot@uabmc.edu). Requests will be reviewed by the StatNet-UAB investigators. Priority will be given to CFRC members and investigators applying for grants or preparing manuscripts for publication.

The CFRC, a UAB University-Wide Interdisciplinary Research Center with a membership base of 90 scientists, is funded by the National Institutes of Health (NIH) and is a key partner in the CF Foundation Therapeutics Development Network (TDN). CFRC research spans the translational science spectrum, from pre-clinical studies to clinical efficacy trials, comparative effectiveness and outcomes research, and health services and implementation science. 

UAB-StatNet

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