47 citations · 79 across the 5 of their papers we have counts for
6 papers · 1 filter
Is Group Testing Ready for Prime-time in Disease Identification?
Gregory Haber, Yaakov Malinovsky, Paul S. Albert
Large scale disease screening is a complicated process in which high costs must be balanced against pressing public health needs. When the goal is screening for infectious disease,…
Statistical approaches using longitudinal biomarkers for disease early detection: A comparison of methodologies
Yongli Han, Paul S. Albert, Christine D. Berg +3
Early detection of clinical outcomes such as cancer may be predicted based on longitudinal biomarker measurements. Tracking longitudinal biomarkers as a way to identify early disea…
A two-state mixed hidden Markov model for risky teenage driving behavior
John C. Jackson, Paul S. Albert, Zhiwei Zhang
This paper proposes a joint model for longitudinal binary and count outcomes. We apply the model to a unique longitudinal study of teen driving where risky driving behavior and the…
Mixed model and estimating equation approaches for zero inflation in clustered binary response data with application to a dating violence study
Kara A. Fulton, Danping Liu, Denise L. Haynie +1
The NEXT Generation Health study investigates the dating violence of adolescents using a survey questionnaire. Each student is asked to affirm or deny multiple instances of violenc…
Marginal analysis of longitudinal count data in long sequences: Methods and applications to a driving study
Zhiwei Zhang, Paul S. Albert, Bruce Simons-Morton
Most of the available methods for longitudinal data analysis are designed and validated for the situation where the number of subjects is large and the number of observations per s…
An approach for jointly modeling multivariate longitudinal measurements and discrete time-to-event data
Paul S. Albert, Joanna H. Shih
In many medical studies, patients are followed longitudinally and interest is on assessing the relationship between longitudinal measurements and time to an event. Recently, variou…