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Anushka Palipana

Biostatistician III
School of Nursing

Overview


Dr. Anushka Palipana is a Biostatistician in the Health Statistics and Data Science division at the Duke University School of Nursing. She earned her Ph.D. in Statistics from the University of Cincinnati and her B.Sc. in Statistics from the University of Peradeniya, Sri Lanka. Her research interests encompass longitudinal modeling, survival analysis, and the joint modeling of longitudinal and survival data, with a focus on their applications in health science.

Prior to joining Duke University School of Nursing, Dr. Palipana was a postdoctoral research fellow at Cincinnati Children's Hospital Medical Center (CCHMC). At CCHMC, her research involved designing and analyzing medical monitoring investigations and integrating geo- and bio-markers to enhance the prediction and early detection of disease progression in conditions such as lymphangioleiomyomatosis and cystic fibrosis.

Dr. Palipana has authored numerous peer-reviewed journal articles published in methodological and clinical journals, including CHESTBiometricsPediatric PulmonologyPLoS One, and the Journal of Cystic Fibrosis, among others.

Current Duke Appointments & Affiliations


Biostatistician III School of Nursing

Recent News Items


Published January 28, 2025
Ending Mercury’s Long Hold on Gold Mining

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Recent Scholarly Works


Expanding Technology-Enabled, Nurse-Delivered Chronic Disease Care : A Pragmatic, Randomized, Effectiveness-Implementation Trial.

Journal article Ann Intern Med · June 23, 2026 BACKGROUND: Comprehensive telehealth is used effectively for treatment-resistant chronic diseases in certain integrated health systems but has seldom been implemented in systems that provide mainly fee-for-service (FFS) care. OBJECTIVE: To examine the effe ... Full text Open Access Link to item Cite

Acute exposure to fine ambient particulate matter and pulmonary exacerbations in cystic fibrosis: A case-crossover study.

Journal article Atmospheric Environment: X · January 2026 In cystic fibrosis (CF) lung disease, increased exposure to PM2.5 (particulate matter <2.5 μm in diameter) has been linked to more frequent pulmonary exacerbations, yet the timing of exposure that presents the greatest exacerbation risk remains ... Full text Cite

Real-world association between ivacaftor initiation and lung function variability: A registry study.

Journal article Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · September 2025 BackgroundIncreased variability in forced expiratory volume in 1 s of % predicted (FEV1pp) has been associated with accelerated lung function decline in individuals with cystic fibrosis (CF). Lung function variability is a leading predi ... Full text Cite
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Recent Grants


A Risk Stratification Model for Health and Academic Outcomes in Children with Concussion Based on Novel Symptom Trajectory Typologies

ResearchStatistician · Awarded by National Institute of Neurological Disorders and Stroke · 2023 - 2028

EXpanding Technology-Enabled, Nurse-Delivered Chronic Disease Care (EXTEND)

ResearchStatistician · Awarded by National Institute of Nursing Research · 2021 - 2026

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