3 citations · 4 across the 6 of their papers we have counts for
11 papers
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…
Causal identification for continuous-time stochastic processes
Jinghao Sun, Forrest W. Crawford
Many real-world processes are trajectories that may be regarded as continuous-time "functional data". Examples include patients' biomarker concentrations, environmental pollutant l…
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…
Identification of causal intervention effects under contagion
Xiaoxuan Cai, Wen Wei Loh, Forrest W. Crawford
Defining and identifying causal intervention effects for transmissible infectious disease outcomes is challenging because a treatment -- such as a vaccine -- given to one individua…
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…
Interpretation of the individual effect under treatment spillover
Forrest W. Crawford, Olga Morozova, Ashley L. Buchanan +1
Some interventions may include important spillover or dissemination effects between study participants. For example, vaccines, cash transfers, and education programs may exert a ca…