Dynamic predictive probabilities to monitor rapid cystic fibrosis disease progression-Reference-Cited by-同舟云学术

Dynamic predictive probabilities to monitor rapid cystic fibrosis disease progression

Published:2019-12-09 Issue:6 Volume:39 Page:740-756
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Szczesniak Rhonda D.¹^ORCID,Su Weiji²,Brokamp Cole¹,Keogh Ruth H.³^ORCID,Pestian John P.⁴,Seid Michael⁵,Diggle Peter J.⁶,Clancy John P.⁷⁸

Affiliation:

1. Division of Biostatistics & EpidemiologyCincinnati Children's Hospital Medical Center and Department of Pediatrics, University of Cincinnati Cincinnati Ohio

2. Department of Mathematical SciencesUniversity of Cincinnati Cincinnati Ohio

3. Department of Medical StatisticsLondon School of Hygiene and Tropical Medicine London UK

4. Division of Biomedical InformaticsCincinnati Children's Hospital Medical Center, and Department of Pediatrics, University of Cincinnati Cincinnati Ohio

5. James M. Anderson Center for Health Systems Excellence and Department of PediatricsUniversity of Cincinnati Cincinnati Ohio

6. CHICASLancaster Medical School Lancaster University Lancaster, UK and Health Data Research UK London UK

7. Division of Pulmonary MedicineCincinnati Children's Hospital Medical Center and Department of Pediatrics, University of Cincinnati Cincinnati Ohio

8. Cystic Fibrosis Foundation Bethesda Maryland

Funder

National Heart, Lung, and Blood Institute

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8443