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7 results on '"Frank de Wolf"'

1. O1‐05‐01: TRENDS IN INCIDENCE OF DEMENTIA AND ALZHEIMER'S DISEASE: RESULTS OF THE ALZHEIMER COHORTS CONSORTIUM

Author

Christophe Tzourio, Vilmundur Gudnason, Mei Mei Wong, Eric Boerwinkle, Carol Brayne, Kendra Davis-Plourde, Joshua C. Bis, Leslie Grasset, Sudha Seshadri, Oscar L. Lopez, Kevin McRae-McKee, M. Arfan Ikram, Myriam Fornage, Lori B. Chibnik, Osorio Meirelles, Gerrit Jan Weverling, Daniel Bos, Christoforos Hadjichrysanthou, Jaap Goudsmit, Blossom C. M. Stephan, Frank J. Wolters, Alexa S. Beiser, Stephanie Evans, Reem Waziry, Claudine Berr, Catherine Helmer, Kristoffer Bäckman, Sirwan K.L. Darweesh, Claudia L. Satizabal, Alison Ower, Albert Hofman, Anna Zettergren, Roy M. Anderson, Stéphanie Debette, Lewis H. Kuller, Silke Kern, Ingmar Skoog, Jean-François Dartigues, Fiona E. Matthews, Bruce M. Psaty, Matthew P. Pase, Frank de Wolf, Thomas H. Mosley, Lenore J. Launer, Kamran Ikram, and Carole Dufouil

Subjects
Pediatrics, medicine.medical_specialty, Epidemiology, business.industry, Health Policy, Incidence (epidemiology), Disease, medicine.disease, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Medicine, Dementia, Neurology (clinical), Geriatrics and Gerontology, business
Published
2018
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2. P3‐082: COMBINING HIPPOCAMPAL VOLUME AND RATES OF HIPPOCAMPAL ATROPHY TO BETTER UNDERSTAND ALZHEIMER'S DISEASE PROGRESSION

Author

Kevin McRae-McKee, Frank de Wolf, Christoforos Hadjichrysanthou, Stephanie Evans, Mei Mei Wong, and Roy M. Anderson

Subjects
Epidemiology, business.industry, Health Policy, Disease progression, Hippocampal atrophy, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Hippocampal volume, Medicine, Neurology (clinical), Geriatrics and Gerontology, business, Neuroscience
Published
2018
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3. [P1–252]: NONLINEAR RELATIONSHIP BETWEEN BETA‐AMYLOID (1–42) AND TOTAL‐TAU: DO THEY DEFINE PROGRESSION?

Author

Frank de Wolf, Roy M. Anderson, Chris Hadjichrysanthou, and Alison Ower

Subjects
medicine.medical_specialty, Amyloid, Epidemiology, Chemistry, Health Policy, Total tau, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Endocrinology, Developmental Neuroscience, Internal medicine, medicine, Neurology (clinical), Geriatrics and Gerontology, Beta (finance)
Published
2017
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4. [P1–265]: RATES OF PROGRESSION BETWEEN DIAGNOSTIC GROUPS TOWARDS ALZHEIMER's DISEASE: COMPARISON BETWEEN COHORT STUDIES

Author

Roy M. Anderson, Mei Mei Wong, Kevin McRae-McKee, Frank de Wolf, Christoforos Hadjichrysanthou, Alison Ower, and Stephanie Evans

Subjects
medicine.medical_specialty, Epidemiology, business.industry, Health Policy, Disease, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Internal medicine, medicine, Neurology (clinical), Geriatrics and Gerontology, business, Cohort study
Published
2017
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5. P3-446: A NEW BAYESIAN GROWTH CURVE MODEL FOR AD COMPOSITE SCORE (ADCOMS)

Author

Kevin McRae-McKee, Christoforos Hadjichrysanthou, Roy M. Anderson, Frank de Wolf, Sumali Bajaj, and Emily McNaughton

Subjects
Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Composite score, Epidemiology, Health Policy, Bayesian probability, Statistics, Neurology (clinical), Geriatrics and Gerontology, Growth curve (statistics), Mathematics
Published
2019
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6. O2-03-04: DEFINING AMYLOID PET POSITIVITY: WHAT IF THE COIN HAD MORE THAN TWO SIDES?

Author

Kevin McRae-McKee, David Scott, Emily McNaughton, Celeste A. de Jager, Chinedu T. Udeh-Momoh, Luc Bracoud, Roy M. Anderson, Sumali Bajaj, Sara Ahmadi-Abhari, Frank de Wolf, Lefkos T. Middleton, and Christoforos Hadjichrysanthou

Subjects
Psychiatry and Mental health, Cellular and Molecular Neuroscience, Pathology, medicine.medical_specialty, Developmental Neuroscience, Epidemiology, business.industry, Health Policy, Medicine, Amyloid pet, Neurology (clinical), Geriatrics and Gerontology, business
Published
2019
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7. Semi-parametric accelerated failure time regression analysis with application to interval-censored HIV/AIDS data

Author

Benjamin J. Cowling, Frank de Wolf, Hongqi Xue, and Kwok Fai Lam

Subjects
Statistics and Probability, Statistics::Theory, Epidemiology, HIV Infections, Interval (mathematics), Accelerated failure time model, Models, Biological, law.invention, Sieve, law, Statistics, Humans, Computer Simulation, Netherlands, Mathematics, Likelihood Functions, Statistics::Applications, HIV, Estimator, Regression analysis, Viral Load, Regression, Semiparametric model, Variable (computer science), Anti-Retroviral Agents, Regression Analysis
Abstract

This paper demonstrates a way to investigate a potentially non-linear relationship between an interval-censored response variable and a continuously distributed explanatory variable. A potentially non-linear effect of a continuous explanatory variable on the response is incorporated into an accelerated failure time model, forming a partial linear model. A sieve maximum likelihood estimator (MLE) is suggested to simultaneously estimate all the parameters. The sieve MLE is shown to be asymptotically efficient and normally distributed. Simulation studies show that the proposed estimators for the scale and regression parameters are robust and efficient, and the estimator for the non-linear function is able to capture the shape of a variety of smooth non-linear functions. The model is applied to observational HIV data, where the response variable is the time to suppression of HIV viral load after initiation of antiretroviral therapy, and baseline viral load is investigated as a potentially non-linear effect.

Published
2006
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