Sue Duval

Datos Biográficos

ID5485570
NOMBRESue Duval
NOMBRESSue
APELLIDODuval
FIRMADÜVAL S
AFILIACIONESUniversity of Minnesota
ORCID0000-0003-1025-8665
VERIFICADOSí
TOTAL DE OBRAS10
TOTAL DE CITAS0
TOTAL COMO AUTOR10
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2000
AÑO MÁS RECIENTE DE PUBLICACIÓN2020
ÍNDICE H0

  • Aspirin Use and Awareness for Cardiovascular Disease Prevention Among Hispanics

    Open AccessJeffrey R Misialek, Jeremy R Van’t Hof et al.ARTICLEJournal of Community Health2020

  • Use of online promotion to encourage patient awareness of aspirin use to prevent heart attack and stroke

    Brian G Southwell, Milton Eder et al.ARTICLEJournal of Epidemiology and…2018Referencias: 9

    BACKGROUND: Literature on health promotion evaluation and public understanding of health suggests the importance of investigating behaviour over time in conjunction with information environment trends as a way of understanding programme impact. We analysed population response to online promotion of an educational tool built by the Ask About Aspirin campaign in the USA to inform people about aspirin as a preventive aid. METHODS: We collected 156 w…

  • Trends in Smoking Among Adults From 1980 to 2009

    Kristian B Filion, Lyn M Steffen et al.ARTICLEAmerican Journal of Public Health2012Referencias: 22

    Objectives. We examined population-based smoking trends in Minnesota between 1980 and 2009. Methods. The Minnesota Heart Survey (MHS) is a population-based, serial, cross-sectional study of cardiovascular risk factor trends among Minneapolis–Saint Paul metropolitan residents. The MHS recently completed its sixth survey (1980–1982 [n = 3799], 1985–1987 [n = 4641], 1990–1992 [n = 5159], 1995–1997 [n = 6690], 2000–2002 [n = 3281], and 2007–2009 [n =…

  • Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials

    Open AccessJonathan Sterne, J A C Sterne et al.ARTICLEBMJ2011

    Funnel plots, and tests for funnel plot asymmetry, have been widely used to examine bias in the results of meta-analyses. Funnel plot asymmetry should not be equated with publication bias, because it has a number of other possible causes. This article describes how to interpret funnel plot asymmetry, recommends appropriate tests, and explains the implications for choice of meta-analysis model

  • Parent and Emergency Physician Comfort with a System of On-Line Emergency-Focused Medical Summaries for Infants with Significant Cardiac Disease

    Open AccessLee A Pyles, Margaret Scheid et al.ARTICLEMaternal and Child Health Journal2010

  • Predicting nursing home admission in the U.S

    Open AccessJoseph E Gaugler, Sue Duval et al.ARTICLEBMC Geriatrics2007

  • The Association of Registered Nurse Staffing Levels and Patient Outcomes

    Robert L Kane, Tatyana A Shamliyan et al.ARTICLEMedical Care2007Referencias: 84

    OBJECTIVE: To examine the association between registered nurse (RN) staffing and patient outcomes in acute care hospitals. STUDY SELECTION: Twenty-eight studies reported adjusted odds ratios of patient outcomes in categories of RN-to-patient ratio, and met inclusion criteria. Information was abstracted using a standardized protocol. DATA SYNTHESIS: Random effects models assessed heterogeneity and pooled data from individual studies. Increased RN …

  • Correlates of Breast-feeding in a Rural Population

    Michelle B Hanson, Wendy L Hellerstedt et al.ARTICLEAmerican Journal of Health Behavior2003

    Rural women with less than college educations and who work full-time may need the most support for initiating and maintaining breast-feeding

  • A Nonparametric “Trim and Fill” Method of Accounting for Publication Bias in Meta-Analysis

    Sue Duval, Richard Tweedie et al.ARTICLEJournal of the American…2000

    Meta-analysis collects and synthesizes results from individual studies to estimate an overall effect size. If published studies are chosen, say through a literature review, then an inherent selection bias may arise, because, for example, studies may tend to be published more readily if they are statistically significant, or deemed to be more “interesting” in terms of the impact of their outcomes. We develop a simple rank-based data augmentation t…

  • Trim and Fill

    Open AccessSue Duval, Richard Tweedie et al.ARTICLEBiometrics2000

    We study recently developed nonparametric methods for estimating the number of missing studies that might exist in a meta‐analysis and the effect that these studies might have had on its outcome. These are simple rank‐based data augmentation techniques, which formalize the use of funnel plots. We show that they provide effective and relatively powerful tests for evaluating the existence of such publication bias. After adjusting for missing studie…