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Mathematics

D-Index
42
Citations
8039
World Ranking
1775
National Ranking
763

Research.com Recognitions

  • 1997 - Fellow of the American Statistical Association (ASA)

Overview

Wesley O. Johnson is affiliated with the University of California, Irvine in the United States. Their research primarily spans the field of Medicine with notable contributions to subfields such as Epidemiology, Statistics and Probability, Rheumatology, Agronomy and Crop Science, and Parasitology.

The main topics of their work include:

  • Pelvic floor disorders treatments
  • Animal Disease Management and Epidemiology
  • Mycobacterium research and diagnosis
  • Leptospirosis research and findings
  • Statistical Methods and Bayesian Inference
  • Bayesian Methods and Mixture Models
  • Statistical Methods and Inference

Wesley O. Johnson has frequently published in the following venues:

  • Obstetrics and Gynecology
  • Preventive Veterinary Medicine
  • SSRN Electronic Journal
  • Departures in Critical Qualitative Research
  • Bayesian Analysis

Recent papers authored or co-authored by Johnson include:

  • Patterns of Sexual Activity and the Development of Sexual Pain Across the Menopausal Transition (2022, Obstetrics and Gynecology)
  • Modelling Variation in Test Sensitivity for Monitoring Leptospirosis in Beef Cattle (2023, Preventive Veterinary Medicine)
  • Modelling Variation in Test Sensitivity for Monitoring Leptospirosis in Beef Cattle (2023, SSRN Electronic Journal)
  • Guest Editor's Introduction (2021, Departures in Critical Qualitative Research)
  • Normal Approximation for Bayesian Mixed Effects Binomial Regression Models (2022, Bayesian Analysis)

The scientist has collaborated frequently with coauthors including:

  • L. Elaine Waetjen
  • Guibo Xing
  • Rachel Hess
  • Nancy E. Avis
  • Barbara D. Reed

Wesley O. Johnson was recognized as a Fellow of the American Statistical Association (ASA) in 1997.

Best Publications

  • Estimation of diagnostic-test sensitivity and specificity through Bayesian modeling.

    A.J. Branscum;I.A. Gardner;W.O. Johnson

  • Estimation of sensitivity and specificity of diagnostic tests and disease prevalence when the true disease state is unknown.

    Claes Enøe;Marios P Georgiadis;Wesley O Johnson

  • A New Perspective on Priors for Generalized Linear Models

    Edward J. Bedrick;Ronald Christensen;Wesley Johnson

  • A Bayesian perspective on the Bonferroni adjustment

    Peter H. Westfall;Wesley O. Johnson;Jessica M. Utts

  • Case-deletion diagnostics for mixed models

    Ronald Christensen;Larry M. Pearson;Wesley Johnson

  • Modeling Regression Error With a Mixture of Polya Trees

    Timothy Hanson;Wesley O Johnson

  • Factors Affecting Menstrual Cycle Characteristics

    Yan Liu;Ellen B. Gold;Bill L. Lasley;Wesley O. Johnson

  • Screening without a “Gold Standard”: The Hui-Walter Paradigm Revisited

    Wesley O. Johnson;Joseph L. Gastwirth;Larry M. Pearson

  • Correlation-adjusted estimation of sensitivity and specificity of two diagnostic tests

    Marios P. Georgiadis;Wesley O. Johnson;Ian A. Gardner;Ramanpreet Singh

  • STARD-BLCM: Standards for the Reporting of Diagnostic accuracy studies that use Bayesian Latent Class Models

    Polychronis Kostoulas;Søren S. Nielsen;Adam J. Branscum;Wesley O. Johnson

  • Comparison of methods for estimation of individual-level prevalence based on pooled samples

    David W. Cowling;Ian A. Gardner;Wesley O. Johnson

  • Bayesian nonparametric nonproportional hazards survival modeling.

    Maria De Iorio;Wesley O. Johnson;Peter Müller;Gary L. Rosner

  • A Predictive View of the Detection and Characterization of Influential Observations in Regression Analysis

    Wesley Johnson;Seymour Geisser

  • Herd-level prevalence of Mycobacterium avium subsp. paratuberculosis infection in United States dairy herds in 2007

    J.E. Lombard;I.A. Gardner;S.R. Jafarzadeh;C.P. Fossler

  • Identifiability of Models for Multiple Diagnostic Testing in the Absence of a Gold Standard

    Geoffrey Jones;Wesley O. Johnson;Timothy E. Hanson;Ronald Christensen

  • Bayesian modeling of animal- and herd-level prevalences.

    A.J. Branscum;I.A. Gardner;W.O. Johnson

  • BAYESIAN BETA REGRESSION: APPLICATIONS TO HOUSEHOLD EXPENDITURE DATA AND GENETIC DISTANCE BETWEEN FOOT‐AND‐MOUTH DISEASE VIRUSES

    Adam J. Branscum;Wesley O. Johnson;Mark C. Thurmond

  • Modelling risk when binary outcomes are subject to error.

    Pat McInturff;Wesley O Johnson;David Cowling;Ian A Gardner

  • Differential Impact of West Nile Virus on California Birds

    Sarah S. Wheeler;Christopher M. Barker;Ying Fang;M. Veronica Armijos

  • The Bayesian two-sample t-test

    Mithat Gönen;Wesley O Johnson;Yonggang Lu;Peter H Westfall

Frequent Co-Authors

Ian A. Gardner
Ian A. Gardner University of Prince Edward Island
Mark C. Thurmond
Mark C. Thurmond University of California, Davis
Ellen B. Gold
Ellen B. Gold University of California, Davis
Joseph L. Gastwirth
Joseph L. Gastwirth George Washington University
Sharon K. Hietala
Sharon K. Hietala University of California, Davis
Claudia A. Muñoz-Zanzi
Claudia A. Muñoz-Zanzi University of Minnesota
Andres M Perez
Andres M Perez University of Minnesota
Tim E. Carpenter
Tim E. Carpenter University of California, Davis
Cord Heuer
Cord Heuer Massey University
Nigel P. French
Nigel P. French Massey University

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