255 citations · 615 across the 15 of their papers we have counts for
17 papers
Variable Selection for Infectious Disease Transmission via Penalized Pairwise Accelerated Failure Time Models
Jeongjin Lee, Patrick M. Schnell, Grzegorz A. Rempala +1
In infectious disease transmission, regression and variable selection for time-to-event outcomes are complicated by transmission-induced dependence that violates standard independe…
Simultaneous confidence bands for cumulative hazard via exchangeable bootstrap and box calibration
Min Lin, Grzegorz Rempala, Eben Kenah +1
Resampling-based simultaneous confidence bands for cumulative hazard functions often undercover in finite samples with right censoring. We study two aspects of the construction tha…
Rothman diagrams: the geometry of causal inference in epidemiology
Eben Kenah
Here, we explain and illustrate a geometric perspective on causal inference in cohort studies that can help epidemiologists understand the role of standardization in causal inferen…
Dynamic Survival Analysis for non-Markovian Epidemic Models
Francesco Di Lauro, Wasiur R. KhudaBukhsh, Istvan Z. Kiss +3
We present a new method for analyzing stochastic epidemic models under minimal assumptions. The method, dubbed DSA, is based on a simple yet powerful observation, namely that popul…
Causal identification of infectious disease intervention effects in a clustered population
Xiaoxuan Cai, Eben Kenah, Forrest W. Crawford
Causal identification of treatment effects for infectious disease outcomes in interconnected populations is challenging because infection outcomes may be transmissible to others, a…
A potential outcomes approach to selection bias
Eben Kenah
We propose a novel definition of selection bias in analytic epidemiology using potential outcomes. This definition captures selection bias under both the structural approach (where…
Incorporating age and delay into models for biophysical systems
Wasiur R. KhudaBukhsh, Hye-Won Kang, Eben Kenah +1
In many biological systems, chemical reactions or changes in a physical state are assumed to occur instantaneously. For describing the dynamics of those systems, Markov models that…
Survival Dynamical Systems for the Population-level Analysis of Epidemics
Wasiur R. KhudaBukhsh, Boseung Choi, Eben Kenah +1
Motivated by the classical Susceptible-Infected-Recovered (SIR) epidemic models proposed by Kermack and Mckendrick, we consider a class of stochastic compartmental dynamical system…
Pairwise accelerated failure time regression models for infectious disease transmission in close-contact groups with external sources of infection
Yushuf Sharker, Zaynab Diallo, Wasiur R. KhudaBukhsh +1
Many important questions in infectious disease epidemiology involve the effects of covariates (e.g., age or vaccination status) on infectiousness and susceptibility, which can be m…
Estimating and interpreting secondary attack risk: Binomial considered harmful
Yushuf Sharker, Eben Kenah
The household secondary attack risk (SAR), often called the secondary attack rate or secondary infection risk, is the probability of infectious contact from an infectious household…
Molecular Infectious Disease Epidemiology: Survival Analysis and Algorithms Linking Phylogenies to Transmission Trees
Eben Kenah, Tom Britton, M. Elizabeth Halloran +1
Recent work has attempted to use whole-genome sequence data from pathogens to reconstruct the transmission trees linking infectors and infectees in outbreaks. However, transmission…
Semiparametric Relative-risk Regression for Infectious Disease Data
Eben Kenah
This paper introduces semiparametric relative-risk regression models for infectious disease data based on contact intervals, where the contact interval from person i to person j is…
Nonparametric survival analysis of epidemic data
Eben Kenah
This paper develops nonparametric methods for the survival analysis of epidemic data based on contact intervals. The contact interval from person i to person j is the time between…
Contact intervals, survival analysis of epidemic data, and estimation of R_0
Eben Kenah
We argue that the time from the onset of infectiousness to infectious contact, which we call the contact interval, is a better basis for inference in epidemic data than the generat…
Generation interval contraction and epidemic data analysis
Eben Kenah, Marc Lipsitch, James M. Robins
The generation interval is the time between the infection time of an infected person and the infection time of his or her infector. Probability density functions for generation int…
Network-based analysis of stochastic SIR epidemic models with random and proportionate mixing
Eben Kenah, James M. Robins
In this paper, we outline the theory of epidemic percolation networks and their use in the analysis of stochastic SIR epidemic models on undirected contact networks. We then show h…
Second look at the spread of epidemics on networks
Eben Kenah, James M. Robins
In an important paper, M.E.J. Newman claimed that a general network-based stochastic Susceptible-Infectious-Removed (SIR) epidemic model is isomorphic to a bond percolation model,…