activity
20162021
collaborators

6 papers

q-bio.GN2021

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…

stat.ME2019

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…

stat.AP2018

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…

q-bio.QM2018

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…

q-bio.QM2016

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…

stat.AP2016

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…