Causal Modeling

precompute demo-compute Task method data data flow VSP — Trauma Demo data flow — N + 1 subjects w/Injuries Statistical Modeling Databasing data(1..N) KF+FE precompute Create data statistical matrices Middleware Visualization 1..N+1 ISR expts expt data UM Integrator display results Executive 1..N+1 ISR baseline exams P-Tag data KF image & data(N+1) UW/UM JSim HIPP Causal Modeling 1 HIPP model UW create model

precompute demo-compute Task method data dataflow VSP — Human Demo data flow — N + 1 simulated subject ± Injuries Create data Statistical Modeling Databasing human scans sim data(1..N) KF+FE precompute statistical matrices Middleware Visualization GEsegment scans sim data UM Integrator display results Executive P-Tag data label mapH KF image & sim data(N+1) tissue props UW/UM JSim SU biomech integration sim data(1..N+1) HIPH-Inj heart geom - prop model Causal Modeling (1..N+1) UW amend HIPH model UW create model HIPH model MRC model generation SU infer Injuries SU propagate Injuries wound modelH Injury list

Causal Modeling

Causal Modeling

Presentation Transcript

STARMAP: Project 2 Causal Modeling for Aquatic Resources

CFA – SEM: Modeling Causal Processes

Dynamic Causal Modeling (DCM ) A Practical Perspective

Longitudinal studies: Cornerstone for causal modeling of dynamic relationships

Causal Models for Regression Modeling Strategies

THE MATHEMATICS OF CAUSAL MODELING

How to use the Mediation Macro for Causal Modeling

Evidence for Probabilistic Hypotheses : With Applications to Causal Modeling

Causal Modeling of FMRI Data

Causal Inference

Causal Reasoning

Temporal Causal Modeling with Graphical Granger Methods

CAUSAL MODELING AND THE LOGIC OF SCIENCE

Correlational Designs Causal Modeling Quasi-Experimental Designs

Causal Modeling for Anomaly Detection

Causal Modeling for Anomaly Detection

Software Measurement: Uncertainty and Causal Modeling

Causal Inference

Causal Modeling with TETRAD

Causal Inference