Blood pressure and the risk of chronic kidney disease progression using multistate marginal structural models in the CRIC Study

Author:

Stephens-Shields Alisa J.1ORCID,Spieker Andrew J.1,Anderson Amanda1,Drawz Paul2,Fischer Michael3,Sozio Stephen M.4,Feldman Harold1,Joffe Marshall1,Yang Wei1,Greene Tom5,

Affiliation:

1. Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine; University of Pennsylvania; Philadelphia U.S.A.

2. Department of Medicine; University of Minnesota; Minneapolis U.S.A.

3. Department of Medicine; University of Illinois College of Medicine; Chicago U.S.A.

4. Department of Medicine; Johns Hopkins University School of Medicine; Baltimore U.S.A.

5. Department of Population Health Sciences; University of Utah School of Medicine; Salt Lake City U.S.A.

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

Health Resources & Services Adminstration

Perelman School of Medicine at the University of Pennsylvania Clinical and Translational Science Award NIH/NCATS

Johns Hopkins University

University of Maryland GCRC

Clinical and Translational Science Collaborative of Cleveland

National Center for Advancing Translational Sciences

Michigan Institute for Clinical and Health Research

University of Illinois at Chicago CTSA

Tulane University Translational Research in Hypertension and Renal Biology

Kaiser Permanente NIH/NCRR UCSF-CTSI

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

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