Sternglass's Assumptions

Sensitivity analysis: distributional assumptions and confounding assumptions.

In a presentation of various methods for assessing the sensitivity of regression results to unmeasured confounding, Lin, Psaty, and Kronmal (1998, Biometrics54, 948-963) use a conditional independence assumption to derive algebraic relationships between the true exposure effect and the apparent exposure effect in a reduced model that does not control for the unmeasured confounding variable. How...

Philosophical Assumptions

The historical development of concepts of causality in philosophy is described. Since the Enlightenment and the growth of science, exponents of the two most important concepts, determinism and teleology, have been in conflict. At the inception of psychoanalysis at the end of the nineteenth century this conflict was particularly intense. It was the cause of the first major schism in psychoanalys...

Temporal Assumptions 1 Running head: TEMPORAL ASSUMPTIONS How Temporal Assumptions Influence Causal Judgments

Causal learning typically faces the problem of being confronted with a large number of potentially relevant statistical relations. One type of constraint that may guide the choice of appropriate statistical indicators of causality are assumptions about temporal delays between causes and effects. A few previous studies have investigated the role of temporal relations between learning events that...

Constitutional Assumptions

ANCOVA and Assumptions of using this analysis in medical research.

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