Binary cause-and-effect model

Cause-selecting Charts based on Proportional Hazards and Binary Frailty Models (Quality Engineering Conference Paper)

Monitoring the reliability of products in both the manufacturing and service processes is of main concern in today’s competitive market. To this end, statistical process control has been widely used to control the reliability-related quality variables. The so-far surveillance schemes have addressed processes with independent quality characteristics. In multistage processes, however, the cascade...

Establishing Cause and Effect

Estimating Causal Power between Binary Cause and Continuous Outcome

Previous studies of causal learning heavily focused on binary outcomes; little is known about causal learning with continuous outcomes. The present paper proposes a qualitative extension of the causal power theory to the situation where a binary cause influences a continuous effect, and induces causal power under various ceiling situations with the continuous outcomes. To test the predictions, ...

Reasoning with Cause and Effect

This paper summarizes concepts, principles, and tools that were found useful in applications involving causal modeling. The principles are based on structural-model semantics, in which functional (or counterfactual) relationships, representing autonomous physical processes are the fundamental building blocks. The paper presents the formal basis of this semantics, illustrates its application in ...

Cause and effect in biology.