94 citations · 158 across the 24 of their papers we have counts for
11 papers · 1 filter
The role of discretization scales in causal inference with continuous-time treatment
Jinghao Sun, Forrest W. Crawford
There are well-established methods for identifying the causal effect of a time-varying treatment applied at discrete time points. However, in the real world, many treatments are co…
A sample size heuristic for network scale-up studies
Nathaniel Josephs, Dennis M. Feehan, Forrest W. Crawford
The network scale-up method (NSUM) is a survey-based method for estimating the number of individuals in a hidden or hard-to-reach subgroup of a general population. In NSUM surveys,…
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…
Dependence-robust confidence intervals for capture-recapture surveys
Jinghao Sun, Luk Van Baelen, Els Plettinckx +1
Capture-recapture (CRC) surveys are used to estimate the size of a population whose members cannot be enumerated directly. CRC surveys have been used to estimate the number of Covi…
Efficient and minimal length parametric conformal prediction regions
Daniel J. Eck, Forrest W. Crawford
Conformal prediction methods construct prediction regions for iid data that are valid in finite samples. We provide two parametric conformal prediction regions that are applicable…
Risk ratios for contagious outcomes
Olga Morozova, Ted Cohen, Forrest W. Crawford
The risk ratio is a popular tool for summarizing the relationship between a binary covariate and outcome, even when outcomes may be dependent. Investigations of infectious disease…
Hidden population size estimation from respondent-driven sampling: a network approach
Forrest W. Crawford, Jiacheng Wu, Robert Heimer
Estimating the size of stigmatized, hidden, or hard-to-reach populations is a major problem in epidemiology, demography, and public health research. Capture-recapture and multiplie…
Nonparametric Identification for Respondent-Driven Sampling
Peter M. Aronow, Forrest W. Crawford
Respondent-driven sampling is a survey method for hidden or hard-to-reach populations in which sampled individuals recruit others in the study population via their social links. Th…
The graphical structure of respondent-driven sampling
Forrest W. Crawford
Respondent-driven sampling (RDS) is a chain-referral method for sampling members of a hidden or hard-to-reach population such as sex workers, homeless people, or drug users via the…
Markov counting models for correlated binary responses
Forrest W. Crawford, Daniel Zelterman
We propose a class of continuous-time Markov counting processes for analyzing correlated binary data and establish a correspondence between these models and sums of exchangeable Be…
Birth-death processes
Forrest W. Crawford, Marc A. Suchard
Many important stochastic counting models can be written as general birth-death processes (BDPs). BDPs are continuous-time Markov chains on the non-negative integers and can be use…