Add to ORKGThe work presented as part of this dissertation is primarily motivated by a randomized trial for HIV serodiscordant couples. Specifically, the Multisite HIV/STD Prevention Trial for African American Couples is a behavioral modification trial for African American, heterosexual, HIV discordant couples. In this trial, investigators developed and evaluated a couple-based behavioral intervention for reducing risky shared sexual behaviors and collected retrospective outcomes from both partners at baseline and at 3 follow-ups to evaluate the intervention efficacy. As the outcomes refer to the couples\u27 shared sexual behavior, couples\u27 responses are expected to be correlated, and modeling approaches should account for multiple sources of corre...
Bivariate meta‐analysis provides a useful framework for combining information across related studies...
Bivariate meta-analysis provides a useful framework for combining information across related studies...
Bivariate meta-analysis provides a useful framework for combining information across related studies...
The work presented as part of this dissertation is primarily motivated by a randomized trial for HIV...
The work presented as part of this dissertation is primarily motivated by a randomized trial for HIV...
The work presented as part of this dissertation is primarily motivated by a randomized trial for HIV...
A new model for multivariate non-normal longitudinal data is proposed. In a first step, each longitu...
A new model for multivariate non-normal longitudinal data is proposed. In a first step, each longitu...
When two interventions are randomized to multiple sub-clusters within a whole cluster, accounting fo...
Causal inference in psychological research is typically hampered by unobserved confounding. A copula...
We propose a copula-based joint modeling framework for mixed longitudinal responses. Our approach pe...
Causal inference in psychological research is typically hampered by unobserved confounding. A copula...
Causal inference in psychological research is typically hampered by unobserved confounding. A copula...
Causal inference in psychological research is typically hampered by unobserved confounding. A copula...
Causal inference in psychological research is typically hampered by unobserved confounding. A copula...
Bivariate meta‐analysis provides a useful framework for combining information across related studies...
Bivariate meta-analysis provides a useful framework for combining information across related studies...
Bivariate meta-analysis provides a useful framework for combining information across related studies...
The work presented as part of this dissertation is primarily motivated by a randomized trial for HIV...
The work presented as part of this dissertation is primarily motivated by a randomized trial for HIV...
The work presented as part of this dissertation is primarily motivated by a randomized trial for HIV...
A new model for multivariate non-normal longitudinal data is proposed. In a first step, each longitu...
A new model for multivariate non-normal longitudinal data is proposed. In a first step, each longitu...
When two interventions are randomized to multiple sub-clusters within a whole cluster, accounting fo...
Causal inference in psychological research is typically hampered by unobserved confounding. A copula...
We propose a copula-based joint modeling framework for mixed longitudinal responses. Our approach pe...
Causal inference in psychological research is typically hampered by unobserved confounding. A copula...
Causal inference in psychological research is typically hampered by unobserved confounding. A copula...
Causal inference in psychological research is typically hampered by unobserved confounding. A copula...
Causal inference in psychological research is typically hampered by unobserved confounding. A copula...
Bivariate meta‐analysis provides a useful framework for combining information across related studies...
Bivariate meta-analysis provides a useful framework for combining information across related studies...
Bivariate meta-analysis provides a useful framework for combining information across related studies...