P
Peter X.-K. Song
Researcher at University of Michigan
Publications - 225
Citations - 10266
Peter X.-K. Song is an academic researcher from University of Michigan. The author has contributed to research in topics: Estimator & Statistical inference. The author has an hindex of 38, co-authored 203 publications receiving 8619 citations. Previous affiliations of Peter X.-K. Song include Wayne State University & Natural Sciences and Engineering Research Council.
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Journal ArticleDOI
Gaining the PROMIS perspective from children with nephrotic syndrome: a Midwest pediatric nephrology consortium study
Debbie S. Gipson,David T. Selewski,Susan F. Massengill,Larysa Wickman,Kassandra L. Messer,Emily Herreshoff,Corinna Bowers,Maria E. Ferris,John D. Mahan,Laurence Greenbaum,Jackie MacHardy,Gauray Kapur,Deepa H. Chand,Jens Goebel,Gina Marie Barletta,Denis F. Geary,David B. Kershaw,Cynthia G. Pan,Rasheed Gbadegesin,Guillermo Hidalgo,Jerome C. Lane,Jeffrey D. Leiser,Brett Plattner,Peter X.-K. Song,David Thissen,Yang Liu,Heather E. Gross,Darren A. DeWalt +27 more
TL;DR: This study establishes known-group validity and feasibility for PROMIS pediatric measures in children and adolescents with NS and to initiate validity assessments of the short forms and full item banks in pediatric NS.
Journal ArticleDOI
An epidemiological forecast model and software assessing interventions on the COVID-19 epidemic in China
Lili Wang,Yiwang Zhou,Jie He,Bin Zhu,Fei Wang,Lu Tang,Michael Kleinsasser,Daniel Barker,Marisa C. Eisenberg,Peter X.-K. Song +9 more
TL;DR: A health informatics toolbox that enables timely analysis and evaluation of the time-course dynamics of a range of infectious disease epidemics is developed, and the novel coronavirus (COVID-19) epidemic is examined using the publicly available data from the China CDC.
Journal ArticleDOI
Quadratic inference functions in marginal models for longitudinal data.
TL;DR: An introductory review of the quadratic inference function is presented, with a strong emphasis on its applications, and a recently developed SAS MACRO QIF is illustrated in this paper.
Journal ArticleDOI
Clustering categorical data based on distance vectors
TL;DR: Comparisons with two well-known clustering algorithms, K-modes and AutoClass, show that the proposed algorithm substantially outperforms these competitors, with the classification rate or the information gain typically improved by several orders of magnitude.
Journal ArticleDOI
Complete Remission in the Nephrotic Syndrome Study Network
Debbie S. Gipson,Jonathan P. Troost,Richard A. Lafayette,Michelle Hladunewich,Howard Trachtman,Crystal A. Gadegbeku,John R. Sedor,Lawrence B. Holzman,Marva Moxey-Mims,Kalyani Perumal,Frederick J. Kaskel,Peter J. Nelson,Katherine R. Tuttle,Serena M. Bagnasco,Marie C. Hogan,Katherine MacRae Dell,Gerald B. Appel,John C. Lieske,Titilayo O. Ilori,Christine B. Sethna,Fernando C. Fervenza,Susan L. Hogan,Patrick H. Nachman,Avi Z. Rosenberg,Larry A. Greenbaum,Kevin E.C. Meyers,Stephen M. Hewitt,Michael J. Choi,Jeffrey B. Kopp,Olga Zhdanova,Jeffrey B. Hodgin,Duncan B. Johnstone,Sharon G. Adler,Carmen Avila-Casado,Alicia M. Neu,Sangeeta Hingorani,Kevin V. Lemley,Cynthia C. Nast,Tammy M. Brady,Laura Barisoni-Thomas,Alessia Fornoni,J. Charles Jennette,Daniel C. Cattran,Matthew Palmer,Keisha L. Gibson,Heather N. Reich,Michele H. Mokrzycki,Kamalanathan K. Sambandam,Gaston Zilleruelo,Christoph Licht,Matthew G. Sampson,Peter X.-K. Song,Laura H. Mariani,Matthias Kretzler +53 more
TL;DR: In NEPTUNE, the high frequency of other pathology in proteinuric patients affirms the value of the diagnostic kidney biopsy and clinical factors, including level of proteinuria before biopsy, pathology diagnosis, and immunosuppression, are associated with complete remission.