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Mathematics

D-Index
56
Citations
116504
World Ranking
712
National Ranking
353

Overview

David W. Hosmer is affiliated with the University of Massachusetts Amherst in the United States. Their research primarily focuses on the field of Medicine, with significant contributions to Emergency Medicine, Public Health, Environmental and Occupational Health, Surgery, Statistics and Probability, and Economics and Econometrics.

The scientist's main research topics include:

  • Trauma and Emergency Care Studies
  • Emergency and Acute Care Studies
  • Healthcare Policy and Management
  • Injury Epidemiology and Prevention
  • Abdominal Trauma and Injuries
  • Statistical Methods and Bayesian Inference
  • Statistical Methods in Clinical Trials

Several recent publications illustrate the focus of their work. These include:

  • Current patterns of trauma center proliferation have not led to proportionate improvements in access to care or mortality after injury: An ecologic study, 2023, The Journal of Trauma: Injury, Infection, and Critical Care
  • Geographic Coverage and Verification of Trauma Centers in a Rural State: Highlighting the Utility of Location Allocation for Trauma System Planning, 2020, Journal of the American College of Surgeons
  • Frequency and Predictors of Trauma Transfer Futility to a Rural Level I Trauma Center, 2022, Journal of Surgical Research
  • Characterising attrition from childhood to adulthood in a 20-year cohort: which baseline factors are influential, and can bias be corrected?, 2020, Longitudinal and Life Course Studies
  • Refinements on the exact method to solve the numerical difficulties in fitting the log binomial regression model for estimating relative risk, 2023, Communication in Statistics- Theory and Methods

Their publications appear repeatedly in key venues such as:

  • Journal of the American College of Surgeons
  • The Journal of Trauma: Injury, Infection, and Critical Care
  • Journal of Surgical Research
  • Communication in Statistics- Theory and Methods
  • Longitudinal and Life Course Studies

Frequent collaborators of David W. Hosmer include:

  • Turner Osler
  • Stas Amato
  • Jamie Benson
  • Ajai K. Malhotra
  • Gary An

David W. Hosmer's work is interdisciplinary, bridging clinical trauma research with methodological advances in statistics. Their contributions span empirical studies on trauma system performance, rural healthcare accessibility, trauma transfer efficacy, and statistical modeling techniques relevant to clinical research.

Best Publications

  • Applied Logistic Regression

    David W. Hosmer;Stanley Lemeshow

  • Applied Logistic Regression: Hosmer/Applied Logistic Regression

    Unknown

  • Applied Survival Analysis: Regression Modeling of Time-to-Event Data

    David W. Hosmer;Stanley Lemeshow;Susanne May

  • Purposeful selection of variables in logistic regression

    Zoran Bursac;C Heath Gauss;David Keith Williams;David W Hosmer

  • Goodness of fit tests for the multiple logistic regression model

    David W. Hosmer;Stanley Lemesbow

  • A REVIEW OF GOODNESS OF FIT STATISTICS FOR USE IN THE DEVELOPMENT OF LOGISTIC REGRESSION MODELS

    Stanley Lemeshow;David W. Hosmer

  • A comparison of goodness-of-fit tests for the logistic regression model.

    D. W. Hosmer;T. Hosmer;S. Le Cessie;S. Lemeshow

  • Applied Survival Analysis: Regression Modeling of Time to Event Data

    Unknown

  • Confidence interval estimation of interaction.

    David W. Hosmer;Stanley Lemeshow

  • Applied Logistic Regression.

    Steven L. Gortmaker;David W. Hosmer;Stanley Lemeshow

  • Best subsets logistic regression

    David W. Hosmer;Borko Jovanovic;Stanley Lemeshow

  • Model‐Building Strategies and Methods for Logistic Regression

    David W. Hosmer;Stanley Lemeshow

  • The importance of assessing the fit of logistic regression models: a case study.

    D W Hosmer;S Taber;S Lemeshow

  • Adequacy of Sample Size in Health Studies.

    S. A. Ogston;S. Lemeshow;D. W. Hosmer;J. Klar

  • Assessing the Fit of the Model

    David W. Hosmer;Stanley Lemeshow;Rodney X. Sturdivant

  • Simplified estimates of the probability of death after burn injuries: extending and updating the baux score.

    Turner Osler;Laurent G. Glance;David W. Hosmer

  • Increasing the efficacy of physician-delivered smoking interventions. A randomized clinical trial

    Judith K. Ockene;Jean L. Kristeller;Robert J. Goldberg;Terrence L. Amick

  • Relationship of weight, height, and body mass index with fracture risk at different sites in postmenopausal women: the Global Longitudinal study of Osteoporosis in Women (GLOW).

    Juliet E. Compston;Julie M. Flahive;David W. Hosmer Jr.;Nelson B. Watts

  • Goodness-of-fit tests for logistic regression models when data are collected using a complex sampling design

    Kellie J. Archer;Stanley Lemeshow;David W. Hosmer

  • Confidence intervals for measures of interaction.

    Susan F. Assmann;David W. Hosmer;Stanley Lemeshow;Kenneth A. Mundt

  • Smoking cessation and severity of disease: the Coronary Artery Smoking Intervention Study

    Judith K. Ockene;Jean L. Kristeller;Robert J. Goldberg;Ira S. Ockene

  • Introduction to the Logistic Regression Model

    David W. Hosmer;Stanley Lemeshow;Rodney X. Sturdivant

  • Applied Logistic Regression.

    A. J. Scott;D. W. Hosmer;S. Lemeshow

Frequent Co-Authors

Robert J. Goldberg
Robert J. Goldberg University of Massachusetts Chan Medical School
Judith K. Ockene
Judith K. Ockene University of Massachusetts Chan Medical School
Frederick A. Anderson
Frederick A. Anderson University of Massachusetts Chan Medical School
Cyrus Cooper
Cyrus Cooper University of Southampton
Andrea Z. LaCroix
Andrea Z. LaCroix University of California, San Diego
Adolfo Diez-Perez
Adolfo Diez-Perez Autonomous University of Barcelona
Kenneth G. Saag
Kenneth G. Saag University of Alabama at Birmingham
James E. Dalen
James E. Dalen University of Arizona
Ira S. Ockene
Ira S. Ockene University of Massachusetts Chan Medical School
Roland Chapurlat
Roland Chapurlat Claude Bernard University Lyon 1

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