Statistical methods for building better biomarkers of chronic kidney disease-Reference-Cited by-同舟云学术

Statistical methods for building better biomarkers of chronic kidney disease

Published:2019-01-21 Issue:11 Volume:38 Page:1903-1917
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Pencina Michael J.¹^ORCID,Parikh Chirag R.²,Kimmel Paul L.³,Cook Nancy R.⁴^ORCID,Coresh Josef⁵,Feldman Harold I.⁶⁷,Foulkes Andrea⁸^ORCID,Gimotty Phyllis A.⁶⁷,Hsu Chi‐yuan⁹,Lemley Kevin¹⁰,Song Peter¹¹,Wilkins Kenneth¹²¹³,Gossett Daniel R.³,Xie Yining³,Star Robert A.³

Affiliation:

1. Duke Clinical Research Institute, Department of Biostatistics and BioinformaticsDuke University School of Medicine Durham North Carolina

2. Division of Nephrology, Department of MedicineJohns Hopkins University School of Medicine Baltimore Maryland

3. Division of Kidney, Urologic and Hematologic DiseasesNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health Bethesda Maryland

4. Division of Preventive MedicineBrigham and Women's Hospital, Harvard Medical School Boston Massachusetts

5. Departments of Epidemiology, Medicine and BiostatisticsJohns Hopkins University Baltimore Maryland

6. Center for Clinical Epidemiology and BiostatisticsPerelman School of Medicine, University of Pennsylvania Philadelphia Pennsylvania

7. Department of Biostatistics, Epidemiology, and InformaticsPerelman School of Medicine, University of Pennsylvania Philadelphia Pennsylvania

8. Department of Mathematics and StatisticsMount Holyoke College South Hadley Massachusetts

9. Division of NephrologyUniversity of California, San Francisco San Francisco California

10. Division of Nephrology, Children's Hospital Los Angeles, Department of PediatricsKeck School of Medicine, University of Southern California Los Angeles California

11. Department of Biostatistics, School of Public HealthUniversity of Michigan Ann Arbor Michigan

12. Biostatistics Program National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health Bethesda Maryland

13. Department of Preventive Medicine and BiostatisticsF. Edward Hébert School of MedicineUniformed Services University of the Health Sciences Bethesda Maryland

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8091

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