U nder the intention-to-treat principle, all randomized subjects should be analyzed according to their randomly assigned treatment, regardless of treatment actually received or protocol compliance. Adherence to this principle requires that even subjects with missing outcome data be included in the analysis; in fact, the exclusion of such subjects can have important implications on power and bia...

Extended Abstract. When the comprehensive information about a topic is scattered among two or more data sets, using only one of those data sets would lead to information loss available in other data sets. Hence, it is necessary to integrate scattered information to a comprehensive unique data set. On the other hand, sometimes we are interested in recognition of duplications in a data set. The i...

Security incidents targeting information systems have become more complex and sophisticated, and intruders might evade responsibility due to the lack of evidence to convict them. In this paper, we develop a system for Digital Forensic in Networking, called DigForNet, which is useful to analyze security incidents and explain the steps taken by the attackers. DigForNet combines intrusion response...

This paper examines possibilities offered by relational model when using missing information. The overview is conducted and possibilities which occur in practial use were analyzed. The use of predicates in which missing values occur has also been analyzed. Possible effects on system performance have been indicated.

Donoho and Stark have shown that a precise deterministic recovery of missing information contained in a time interval shorter than the time-frequency uncertainty limit is possible. We analyze this signal recovery mechanism from a physics point of view and show that the well-known Shannon-Nyquist sampling theorem, which is fundamental in signal processing, also uses essentially the same mechanis...

How do you handle missing data? Deletion of those subjects frequently leads to biased outcomes. Mean imputation assumes that non-responders are no different than responders, and can bias variances toward zero. Last observation carried forward methods, while still often used, can cause bias and even induce an apparent treatment effect. Multiple imputation is an improved method to deal with these...