Robust methods to correct for measurement error when evaluating a surrogate marker-Reference-Cited by-同舟云学术

Robust methods to correct for measurement error when evaluating a surrogate marker

Published:2020-10-16 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Parast Layla¹^ORCID,Garcia Tanya P.²,Prentice Ross L.³,Carroll Raymond J.⁴⁵^ORCID

Affiliation:

1. RAND Corporation Statistics Group Santa Monica California

2. Department of Biostatistics The University of North Carolina at Chapel Hill Chapel Hill North Carolina

3. Public Health Sciences Division Fred Hutchinson Cancer Research Center Seattle Washington

4. Department of Statistics Texas A&M University College Station Texas

5. School of Mathematical and Physical Sciences University of Technology Sydney Broadway NSW Australia

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

National Cancer Institute

National Institute of Neurological Disorders and Stroke

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13386

Reference44 articles.

1. Herpes Simplex Virus Shedding Rate: Surrogate Outcome for Genital Herpes Recurrence Frequency and Lesion Rates, and Phase 2 Clinical Trials End Point for Evaluating Efficacy of Antivirals

2. Methods for confidence interval estimation of a ratio parameter with application to location quotients

3. Asymptotics for the SIMEX Estimator in Nonlinear Measurement Error Models

4. Measurement Error in Nonlinear Models

5. Surrogacy assessment using principal stratification when surrogate and outcome measures are multivariate normal

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