Zobrazeno 1 - 10
of 486
pro vyhledávání: '"Lorman, V."'
Advancing Interpretable Regression Analysis for Binary Data: A Novel Distributed Algorithm Approach.
Autor:
Tong J; Center for Health AI and Synthesis of Evidence (CHASE), Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA., Li L; Center for Health AI and Synthesis of Evidence (CHASE), Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.; The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Reps JM; Janssen Research and Development, Titusville, New Jersey, USA.; Observational Health Data Sciences and Informatics (OHDSI), New York, New York, USA.; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands., Lorman V; Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA., Jing N; Biostatistics and Research Decision Sciences, Merck & Co., Inc, Rahway, New Jersey, USA., Edmondson M; Biostatistics and Research Decision Sciences, Merck & Co., Inc, Rahway, New Jersey, USA., Lou X; Health Outcomes & Biomedical informatics, College of Medicine, University of Florida, Gainesville, Florida, USA., Jhaveri R; Division of Infectious Diseases, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA., Kelleher KJ; Center for Child Health Equity and Outcomes Research, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA., Pajor NM; Divisions of Pulmonary Medicine | Biomedical Informatics | James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, Ohio, USA., Forrest CB; Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA., Bian J; Health Outcomes & Biomedical informatics, College of Medicine, University of Florida, Gainesville, Florida, USA., Chu H; Statistical Research and Data Science Center, Pfizer Inc., New York, New York, USA., Chen Y; Center for Health AI and Synthesis of Evidence (CHASE), Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.; Penn Institute for Biomedical Informatics (IBI), Philadelphia, Pennsylvania, USA.; Leonard Davis Institute of Health Economics, Philadelphia, Pennsylvania, USA.; Penn Medicine Center for Evidence-based Practice (CEP), Philadelphia, Pennsylvania, USA.
Publikováno v:
Statistics in medicine [Stat Med] 2024 Dec 20; Vol. 43 (29), pp. 5573-5582. Date of Electronic Publication: 2024 Nov 03.
Publikováno v:
Phys. Rev. E 93, 052412 (2016)
In the frame of the Landau-Ginzburg formalism we propose a minimal phenomenological model for a morphological transformation in viral capsid shells. The transformation takes place during virus maturation process which renders virus infectious. The th
Externí odkaz:
http://arxiv.org/abs/1508.00528
Publikováno v:
Physics of the Solid State, 2015, Vol. 57, No.4, pp. 810-814
Spherical viral shells with icosahedral symmetry have been considered as quasicrystalline tilings. Similarly to known Caspar-Klug quasi-equivalence theory, the presented approach also minimizes the number of conformations necessary for the protein mo
Externí odkaz:
http://arxiv.org/abs/1501.04071
Changes of external parameters in proximity of critical point can increase thermal fluctuations of tubular lipid membrane (TLM) and result in variation of the membrane shape. The phase transitions in the system are shown to be controlled by a single
Externí odkaz:
http://arxiv.org/abs/1501.00258
A pentagonal order formed by 360 proteins in the bovine papilloma viral capsid and structures of some smaller viral capsids are considered from a unified point of view based on the Landau crystallization theory. To simulate the capsid structures we m
Externí odkaz:
http://arxiv.org/abs/1402.0201
We develop a continuous theory of low-frequency dynamics for nanotubes with truly two-dimensional (2D) walls constituted by single-atom monolayer. In this frame topological bending elasticity of the monolayer is not related to its vanishing macroscop
Externí odkaz:
http://arxiv.org/abs/1307.6297
We propose the theory which unifies the description of quasicrystal assembly thermodynamics and quasicrystal structure formation by combining the Landau theory of crystallization and the cluster approach to quasicrystals. The theory is illustrated on
Externí odkaz:
http://arxiv.org/abs/1209.4292
On the example of exceptional families of viruses we i) show the existence of a completely new type of matter organization in nanoparticles, in which the regions with a chiral pentagonal quasicrystalline order of protein positions are arranged in a s
Externí odkaz:
http://arxiv.org/abs/1105.3337
Autor:
Wu Q; Department of Biostatistics and Health Data Science, University of Pittsburgh, Pittsburgh, PA 15261, USA.; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.; The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA 19104, USA., Pajor NM; Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA., Lu Y; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.; The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA., Wolock CJ; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.; The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA 19104, USA., Tong J; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.; The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA., Lorman V; Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA., Johnson KB; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.; Leonard Davis Institute for Health Economics, University of Pennsylvania, Philadelphia, PA 19104, USA., Moore JH; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA., Forrest CB; Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA., Asch DA; Leonard Davis Institute for Health Economics, University of Pennsylvania, Philadelphia, PA 19104, USA.; Division of General Internal Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA., Chen Y; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.; The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA 19104, USA.; The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA.; Leonard Davis Institute for Health Economics, University of Pennsylvania, Philadelphia, PA 19104, USA.; Penn Medicine Center for Evidence-based Practice (CEP), Philadelphia, PA 19104, USA.; Penn Institute for Biomedical Informatics (IBI), Philadelphia, PA 19104, USA.
Publikováno v:
Patterns (New York, N.Y.) [Patterns (N Y)] 2024 Oct 24; Vol. 5 (11), pp. 101079. Date of Electronic Publication: 2024 Oct 24 (Print Publication: 2024).
Autor:
Zhou T; The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia.; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia., Zhang B; The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia.; The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia., Zhang D; The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia.; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia., Wu Q; The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia.; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia.; Department of Biostatistics and Health Data Science, University of Pittsburgh, Pittsburgh, Pennsylvania., Chen J; The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia.; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia., Li L; The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia.; The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia., Lu Y; The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia.; The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia., Becich MJ; Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania., Blecker S; Department of Population Health, New York University Grossman School of Medicine, New York., Chilukuri N; Department of Pediatrics, Stanford University School of Medicine, Stanford, California., Chrischilles EA; Department of Epidemiology, College of Public Health, The University of Iowa, Iowa City., Chu H; Division of Biostatistics, University of Minnesota School of Public Health, Minneapolis.; Statistical Research and Innovation, Global Biometrics and Data Management, Pfizer Inc, New York, New York., Corsino L; Department of Medicine, Duke University School of Medicine, Durham, North Carolina., Geary CR; Department of Pathology, Microbiology, and Immunology, University of Nebraska Medical Center, Omaha., Hornig M; RECOVER Patient, Caregiver, or Community Advocate Representative, New York, New York.; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York., Hornig-Rohan MM; RECOVER Patient, Caregiver, or Community Advocate Representative, New York, New York., Kim S; Department of Pediatrics, Division of Rheumatology, University of California San Francisco Benioff Children's Hospital, San Francisco., Liebovitz DM; Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois., Lorman V; Applied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania., Luo C; Division of Public Health Sciences, Washington University School of Medicine in St Louis, St Louis, Missouri., Morizono H; Center for Genetic Medicine Research, Children's Research Institute, Children's National Hospital, Washington DC., Mosa ASM; Department of Biomedical Informatics, Biostatistics, and Medical Epidemiology, University of Missouri School of Medicine, Columbia., Pajor NM; Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio., Rao S; Department of Pediatrics, University of Colorado School of Medicine, Aurora., Razzaghi H; Applied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania., Suresh S; Divisions of Health Informatics & Emergency Medicine, Department of Pediatrics, University of Pittsburgh, Pittsburgh, Pennsylvania.; UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania., Tedla YG; Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee., Utset LV; Division of Primary Care Pediatrics, Nationwide Children's Hospital, Columbus, Ohio., Wang Y; Global Health Institute, Xi'an Jiaotong University, Xi'an, China., Williams DA; Department of Anesthesiology, University of Michigan, Ann Arbor., Witvliet MG; RECOVER Patient, Caregiver, or Community Advocate Representative, New York, New York.; Department of Sociology, Social Work and Criminal Justice, Lamar University, Beaumont, Texas., Mangarelli C; Division of Advanced General Pediatrics and Primary Care, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois., Jhaveri R; Division of Pediatric Infectious Diseases, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois., Forrest CB; Applied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania., Chen Y; The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia.; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia.; The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia.; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia.; Penn Medicine Center for Evidence-Based Practice (CEP), University of Pennsylvania, Philadelphia.; Penn Institute for Biomedical Informatics (IBI), University of Pennsylvania, Philadelphia.
Publikováno v:
JAMA network open [JAMA Netw Open] 2024 Oct 01; Vol. 7 (10), pp. e2441970. Date of Electronic Publication: 2024 Oct 01.