Deriving relative risks from aggregate data. 1. Theory.

Deriving relative risks from aggregate data. 1. Theory.

Sociological macro analyses of the association between risk factors and mortality can be seen as a valuable supplement to epidemiological micro studies. However, sociologists and epidemiologists typically employ different measures of association and this hampers strict comparisons of findings. This study presents a synthetic approach relying on both micro and macro data. In Part 1, the mathemat...

Deriving relative risks from aggregate data. 2. An application to the relationship between unemployment and suicide.

In Part 1 of this study, the mathematical relations between micro and macro measures of effect were derived. The formulas thus obtained can be used for cross level comparisons of findings concerning the effect of some specific risk factor on, eg, mortality. The approach is illustrated by means of an empirical example relating to the association between unemployment and suicide. This relationshi...

Deriving Category Theory from Type Theory

This work expounds the notion that (structured) categories are syntax free presentations of type theories, and shows some of the ideas involved in deriving categorical semantics for given type theories. It is intended for someone who has some knowledge of category theory and type theory, but who does not fully understand some of the intimate connections between the two topics. We begin by showi...

Deriving Meaning From the Data

Deriving the Standard Model from Superstring Theory *

I outline a program to derive the Standard Model directly from superstring theory. I present a class of three generation superstring standard–like models in the free fermionic formulation. I discuss some phenomenological properties of these models. In particular these models suggest an explanation for the top quark mass hierarchy. A numerical estimate yielded mt ∼ 175−180 GeV . The general text...