Find a Research Lab

Enter a research interest, principal investigator or keyword

Displaying 1 to 3 of 3 results for longitudinal data

Show: 10 · 20 · 50

  1. 1
  • Michael Klag Lab

    The Michael Klag Lab focuses on the epidemiology and prevention of kidney disease, cardiovascular disease and hypertension. Our research determined that the U.S. was experiencing an epidemic of end-stage kidney disease, pinpointed the incidence of kidney disease and published scholarship on risk factors for kidney disease such as race, diabetes and socioeconomic status. Our Precursors Study has shown that serum cholesterol measured at age 22 years is a predictor for midlife cardiovascular disease, a finding that has influenced policy about cholesterol screening in young adults. We also research health behaviors that lead to hypertension and study how differences in these behaviors affect urban and non-urban populations.

    Research Areas: longitudinal data, kidney diseases, health behaviors, hypertension, cardiovascular diseases, cholesterol

    Principal Investigator

    Michael Klag, M.D., M.P.H.

    Department

    Medicine

  • Nae-Yuh Wang Lab

    The Nae-Yuh Wang Lab concentrates on a wide range of multicenter studies and randomized controlled trials. Recent studies have focused on pediatric cochlear implantation and longitudinal data analysis. One recent study found that partnering with primary care providers to deliver weight loss programs may promote greater participant satisfaction and weight loss. Another active study is assessing the effectiveness of promising interventions to reduce race disparities in live donor kidney transplantation.

    Research Areas: epidemiology, longitudinal data, kidney transplants, cochlear implant, biostatistics, weight loss

    Principal Investigator

    Nae-Yuh Wang, M.S., Ph.D.

    Department

    Medicine

  • Qian-Li Xue Lab

    The primary area of statistical expertise in the Qian-Li Xue Lab is the development and application of statistical methods for: (1) handling the truncation of information on underlying or unobservable outcomes (e.g., disability) as a result of screening, (2) missing data, including outcome (e.g., frailty) censoring by a competing risk (e.g., mortality) and (3) trajectory analysis of multivariate outcomes. Other areas of methodologic research interests include multivariate, latent variable models. In Women's Health and Aging Studies, we have closely collaborated with scientific investigators on the design and analysis of longitudinal data relating biomarkers of inflammation, hormonal dysregulation and micronutrient deficiencies to the development and progression of frailty and disability, as well as characterizing the natural history of change in cognitive and physical function over time.

    Research Areas: epidemiology, disabilities, longitudinal data, hormonal dysregulation, women's health, inflammation, frailty, biostatistics, gerontology, latent variables

    Principal Investigator

    Qian-Li Xue, Ph.D.

    Department

    Medicine

  1. 1