Secular and modulator-specific drifts in the predictive performance of a rapid lung function decline algorithm: a cystic fibrosis patient registry study
Publication
, Journal Article
Wang, Z; Zhou, G; Palipana, A; Gecili, E; Dexheimer, JW; Siracusa, C; Szczesniak, R
Published in: Discover Data
September 24, 2024
Duke Scholars
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Published In
Discover Data
DOI
EISSN
2731-6955
Publication Date
September 24, 2024
Volume
2
Issue
1
Publisher
Springer Science and Business Media LLC
Citation
APA
Chicago
ICMJE
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Wang, Z., Zhou, G., Palipana, A., Gecili, E., Dexheimer, J. W., Siracusa, C., & Szczesniak, R. (2024). Secular and modulator-specific drifts in the predictive performance of a rapid lung function decline algorithm: a cystic fibrosis patient registry study. Discover Data, 2(1). https://doi.org/10.1007/s44248-024-00014-2
Wang, Ziyun, Grace Zhou, Anushka Palipana, Emrah Gecili, Judith W. Dexheimer, Christopher Siracusa, and Rhonda Szczesniak. “Secular and modulator-specific drifts in the predictive performance of a rapid lung function decline algorithm: a cystic fibrosis patient registry study.” Discover Data 2, no. 1 (September 24, 2024). https://doi.org/10.1007/s44248-024-00014-2.
Wang Z, Zhou G, Palipana A, Gecili E, Dexheimer JW, Siracusa C, et al. Secular and modulator-specific drifts in the predictive performance of a rapid lung function decline algorithm: a cystic fibrosis patient registry study. Discover Data. 2024 Sep 24;2(1).
Wang, Ziyun, et al. “Secular and modulator-specific drifts in the predictive performance of a rapid lung function decline algorithm: a cystic fibrosis patient registry study.” Discover Data, vol. 2, no. 1, Springer Science and Business Media LLC, Sept. 2024. Crossref, doi:10.1007/s44248-024-00014-2.
Wang Z, Zhou G, Palipana A, Gecili E, Dexheimer JW, Siracusa C, Szczesniak R. Secular and modulator-specific drifts in the predictive performance of a rapid lung function decline algorithm: a cystic fibrosis patient registry study. Discover Data. Springer Science and Business Media LLC; 2024 Sep 24;2(1).
Published In
Discover Data
DOI
EISSN
2731-6955
Publication Date
September 24, 2024
Volume
2
Issue
1
Publisher
Springer Science and Business Media LLC