Measuring Morbidity: Disease Counts, Binary Variables, and Statistical Power

Statistical Models for Infectious Disease Surveillance Counts

Models for infectious disease surveillance counts have to take into account the specific characteristics of this type of data. While showing a regular, often seasonal, pattern over long time periods, there are occasional irregularities or outbreaks. A model which is a compromise between mechanistic models and empirical models is proposed. A key idea is to distinguish between an endemic and an e...

Statistical and Linear Independence of Binary Random Variables

Linear cryptanalysis makes use of statistical models that consider linear approximations over block cipher and random permutation as binary random variables. In this note we develop conditions under which linear independence of binary random variables and statistical independence of their correlations are equivalent properties. As an application we obtain that the correlations of linear combina...

Measuring Schistosomiasis Morbidity

In order to make headway in the control of morbidity we must try to answer the following questions: what do we define as schistosomiasis related morbidity, how do we measure it, what is the impact of the detected morbidity on the health of affected communities, what other factors might influence the level of morbidity in an endemic setting, and how can we measure the impact of treatment or inte...

Binary Variables and Mechanistic Codes

In response to the transition by the United States Nuclear Regulatory Commission (NRC) to a risk-informed, performance-based fire protection rulemaking standard, Fire Probabilistic Risk Assessment (PRA) methods have been improved, particularly in the areas of advanced fire modeling and computational methods. As the methods for the quantification of fire risk are improved, the methods for the qu...

Set and Binary Relation Variables