31 citations · 57 across the 8 of their papers we have counts for
8 papers
Modeling Homophily in Dynamic Networks with Application to HIV Molecular Surveillance
V. DeGruttola, M. Nakazawa, J. Liu +3
This paper describes a novel approach to modeling homphily, i.e. the tendency of nodes that share (or differ in) certain attributes to be linked; we consider dynamic networks in wh…
Novel Methods for the Analysis of Stepped Wedge Cluster Randomized Trials
Lee Kennedy-Shaffer, Victor De Gruttola, Marc Lipsitch
Stepped wedge cluster randomized trials (SW-CRTs) have become increasingly popular and are used for a variety of interventions and outcomes, often chosen for their feasibility adva…
Bayesian method for inferring the impact of geographical distance on intensity of communication
Fei Li, Jukka-Pekka Onnela, Victor DeGruttola
Both theoretical models and empirical findings suggest that the intensity of communication among groups of people declines with their degree of geographical separation. There is so…
Bayesian reconstruction of HIV transmission trees from viral sequences and uncertain infection times
Hesam Montazeri, Susan Little, Niko Beerenwinkel +1
Genetic sequence data of pathogens are increasingly used to investigate transmission dynamics in both endemic diseases and disease outbreaks; such research can aid in development o…
Leveraging contact network structure in the design of cluster randomized trials
Guy Harling, Rui Wang, Jukka-Pekka Onnela +1
Background: In settings where proof-of-principle trials have succeeded but the effectiveness of different forms of implementation remains uncertain, trials that not only generate i…
Leveraging Contact Network Information in Clustered Randomized Studies of Contagion Processes
Maxwell H Wang, Patrick Staples, Mélanie Prague +2
In a randomized study, leveraging covariates related to the outcome (e.g. disease status) may produce less variable estimates of the effect of exposure. For contagion processes ope…
Accounting for interactions and complex inter-subject dependency in estimating treatment effect in cluster randomized trials with missing outcomes
Melanie Prague, Rui Wang, Alisa Stephens +2
Semi-parametric methods are often used for the estimation of intervention effects on correlated outcomes in cluster-randomized trials (CRTs). When outcomes are missing at random (M…
Flexible covariate-adjusted exact tests of randomized treatment effects with application to a trial of HIV education
Alisa J. Stephens, Eric J. Tchetgen Tchetgen, Victor De Gruttola
The primary goal of randomized trials is to compare the effects of different interventions on some outcome of interest. In addition to the treatment assignment and outcome, data on…