140 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Institutes of HealthUS33 papers
- Jožef Stefan InstituteSI13 papers
- University of LjubljanaSI13 papers
- Center for Information TechnologyUS3 papers
- Texas A&M UniversityUS3 papers
- University of California, Santa BarbaraUS3 papers
- Center for Devices and Radiological HealthUS2 papers
- Forschungszentrum JülichDE2 papers
- Fraunhofer Institute for Intelligent Analysis and Information SystemsDE2 papers
- Helmholtz MunichDE2 papers
- Institute of PhysicsPL2 papers
- Kavli Institute for Theoretical PhysicsUS2 papers
7 papers · 1 filter
Analyzing Highly Correlated Chemical Toxicants Associated with Time to Pregnancy Using Discrete Survival Frailty Modeling Via Elastic Net
Abhisek Saha, Rajeshwari Sundaram
Understanding the association between mixtures of environmental toxicants and time-to-pregnancy (TTP) is an important scientific question as sufficient evidence has emerged about t…
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…
The use of covariates and random effects in evaluating predictive biomarkers under a potential outcome framework
Zhiwei Zhang, Lei Nie, Guoxing Soon +1
Predictive or treatment selection biomarkers are usually evaluated in a subgroup or regression analysis with focus on the treatment-by-marker interaction. Under a potential outcome…
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…
A combined efficient design for biomarker data subject to a limit of detection due to measuring instrument sensitivity
Enrique F. Schisterman, Albert Vexler, Aijun Ye +1
Pooling specimens, a well-accepted sampling strategy in biomedical research, can be applied to reduce the cost of studying biomarkers. Even if the cost of a single assay is not a m…
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…