My main research area is Statistics, ranging from theory to applications with the latter primarily in ecological and biostatistical applications. My current work is focused primarily on measurement error in time series and longitudinal data, with particular interest in population dynamics, and methods associated with misclassification (in in collaboration with colleagues at the University of Oslo Medical School). Other areas of continuing interest include estimating distributions in the presence of measurement error, estimation in two-stage models (including random coefficents and meta-analysis and regression/synchrony in spatial-temporal settings.
No subject area
A prospective cohort study of modifiable risk factors for gestational diabetes among Hispanic women: design and baseline characteristics (with Lisa Chasen-Taber, R. T. Fortner, A. Gollenberg, N. Dole, and G. Markenson), Journal of Women's Health (2010)
OBJECTIVES: Women diagnosed with gestational diabetes mellitus (GDM) are at high risk for future diabetes,...
Statistical methods to correct for observation error in a density-independent population model (with J. Staudenmayer), Ecological Monographs (2009)
The problem of observation error in assessing the dynamics of populations over time has received...
Regression analysis with categorized regression calibrated exposure: some interesting findings (with Ingvild Dalen, Petter Laake, Anette Hjartaker, and Magne Thorese), Emerging Themes in Epidemiology (2006)
Background: Regression calibration as a method for handling measurement error is becoming increasingly well-known and...