Biography

Annie Piccorelli, PhD, is a biostatistician who focuses on research collaborations related to health sciences as well as the application of statistics to analyze the outcomes important to people with cystic fibrosis (CF). She joined Kaiser Permanente Washington Health Research Institute (KPWHRI) in 2023 as a senior collaborative biostatistician. At KPWHRI, she has joined several projects involving a range of statistical applications. Some highlights:

• Annie is working with KPWHRI’s Center for Accelerating Care Transformation (ACT Center) to predict probability and time to readmission of Kaiser Permanente members.
• With the STOP Falls project, she is analyzing medication discontinuation and dose reduction using a modified Poisson regression model with generalized estimating equations (GEE) and GEE linear regression, respectively.
• With Engaging Staff to Improve COVID-19 Vaccination Response at Long-Term Care Facilities (ENSPIRE) and Back in Action (BiA), Annie has had the opportunity to engage with geographically diverse project teams and be a part of planning and carrying out the baseline analyses.

Annie’s earlier theoretical research centered on joint modeling serial measurements of pulmonary function and survival in CF patients. Using the Case Western Reserve University CF database and simulation studies, Annie demonstrated that left truncation of survival or time to event must be accounted for in joint modeling to avoid bias not only in the time-to-event estimates but also in parameters related to the longitudinal outcome. Her most recent CF research study aimed to describe and predict outcomes important to people with CF to help physicians develop patient-appropriate treatment plans.

Annie’s collaborations have led to multiple publications, including on the following:

• Comparison of 3 response-adaptive urn designs for clinical trials
• Piecewise linear mixed modeling suggesting there is not a difference in lung function decline pre- and post-diagnosis of severe liver disease in people with CF
• Coordinated allied telehealth treatment of Parkinson's disease
• Metacognition to improve students' prediction of understanding during tests
• Parametric and nonparametric modeling prediction of vehicular crashes
• Prediction modeling for several studies, including on postpartum urinary and fecal incontinence in primiparous women, patency after microsurgical vasectomy reversal, and positive repeat biopsy of prostate cancer

Her teaching experience is broad, ranging from teaching basic statistics to undergraduates to teaching survival analysis to senior undergraduate students and graduate students. She has taught the following courses: Regression Analysis, Categorical Data Analysis, Design and Analysis of Experiments, Survival Analysis, Biostatistics and Epidemiology, Basic Statistics, Statistics for Everyday Life, Applied Statistics, Probability and Statistics for Engineers, Statistics for the Life Sciences, and independent studies in clinical trials and mixed modeling.

Annie received her master’s and PhD in epidemiology and biostatistics at Case Western Reserve University.

In her spare time, Annie enjoys hiking with her family, running, rock climbing, ballet dancing, and going to musicals.​​​​​​