Julian Wolfson

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BACKGROUND The sieve analysis for the Step trial found evidence that breakthrough HIV-1 sequences for MRKAd5/HIV-1 Gag/Pol/Nef vaccine recipients were more divergent from the vaccine insert than placebo sequences in regions with predicted epitopes. We linked the viral sequence data with immune response and acute viral load data to explore mechanisms for and(More)
  • Christopher J. Miller, Jason V. Baker, Alison M. Bormann, Kristine M. Erlandson, Katherine Huppler Hullsiek, Amy C. Justice +7 others
  • 2014
BACKGROUND Non-AIDS conditions such as cardiovascular disease and non-AIDS defining cancers dominate causes of morbidity and mortality among persons with HIV on suppressive combination antiretroviral therapy. Accurate estimates of disease incidence and of risk factors for these conditions are important in planning preventative efforts. METHODS With use of(More)
  • Simone A French, Nathan R Mitchell, Julian Wolfson, Graham Finlayson, John E Blundell, Robert W Jeffery
  • 2014
PURPOSE The present research compared a self-report measure of usual eating behaviors with two laboratory-based behavioral measures of food reward and food preference. METHODS Eating behaviors were measured among 233 working adults. A self-report measure was the Three Factor Eating Questionnaire (TFEQ) Restraint, Disinhibition and Hunger subscales.(More)
Given a randomized treatment Z, a clinical outcome Y, and a biomarker S measured some fixed time after Z is administered, we may be interested in addressing the surrogate endpoint problem by evaluating whether S can be used to reliably predict the effect of Z on Y. Several recent proposals for the statistical evaluation of surrogate value have been based on(More)
Models for predicting the risk of cardiovascular (CV) events based on individual patient characteristics are important tools for managing patient care. Most current and commonly used risk prediction models have been built from carefully selected epidemiological cohorts. However, the homogeneity and limited size of such cohorts restrict the predictive power(More)
OBJECTIVE Examine the effect of weekday exposure over 6 months to different lunch sizes on energy intake and body weight in a free-living sample of working adults. METHODS Adults (n = 233) were randomly assigned to one of three lunch size groups (400 kcal, 800 kcal, and 1,600 kcal) or to a no-free lunch control group for 6 months. Weight and energy intake(More)
OBJECTIVES We propose a new claims-computable measure of the primary care treatability of emergency department (ED) visits and validate it using a nationally representative sample of Medicare data. STUDY DESIGN AND SETTING This is a validation study using 2011-2012 Medicare claims data for a nationally representative 5% sample of fee-for-service(More)
Models for predicting the probability of experiencing various health outcomes or adverse events over a certain time frame (e.g., having a heart attack in the next 5years) based on individual patient characteristics are important tools for managing patient care. Electronic health data (EHD) are appealing sources of training data because they provide access(More)
  • Meghan M. JaKa, Jacob L. Haapala, Julian Wolfson, Simone A. French
  • 2015
Objective. Physical inactivity is a major health risk for working adults, yet the interplay between physical activity levels in work and non-work settings is not well understood. The association between occupational physical activity (OPA) and non-occupational physical activity (non-OPA), and associations by sex, were examined in a group of 233 working(More)