logistic regression models are frequently used in clinicalresearch and particularly for modeling disease status and patientsurvival. in practice, clinical studies have several limitationsfor instance, in the study of rare diseases or due ethical considerations, we can only have small sample sizes. in addition, the lack of suitable andadvanced measuring instruments lead to non-precise observatio...

The aim of this paper is to describe an innovative Logistic Game® developed by the authors. It creates a competition between different teams in terms of strategic decisions in logistic and production problems in a real production system. The game is innovative in three ways. The first is the type of game. It is a game representing a production and logistic system, with the dynamic problems of a...

This paper describes an approach to learning concept definitions which operates on fully parsed text. A subcorpus of the Dutch version of Wikipedia was searched for sentences which have the syntactic properties of definitions. Next, we experimented with various text classification techniques to distinguish actual definitions from other sentences. A maximum entropy classifier which incorporates ...

In this paper we describe our approach to the CoNLL 2010 shared task on detecting speculative language in biomedical text. We treat the detection of sentences containing uncertain information (Task1) as a token classification task since the existence or absence of cues determines the sentence label. We distinguish words that have speculative and non-speculative meaning by employing syntactic fe...

The Lexical-Mapping Theory (LMT) in Lexical-Functional Grammar (LFG) predicts syntactic representations by mapping from the lexical predicate argument structure of the verbs (Bresnan and Kanerva 1989). Yet the widely followed account of control still is Bresnan's (1982) functional control based on grammatical functions and structural terms. In this paper, we try to propose a theory of control i...

The binary logistic regression model is used to analyze the school examination results (scores) of 1002 students. The analysis is performed on the basis of the independent variables viz. gender, medium of instruction, type of schools, category of schools, board of examinations and location of schools, where scores or marks are assumed to be dependent variables. The odds ratio analysis compares ...

TO THE RIEMANN MAP Zheng-Xu He and Oded Schramm Abstract. Let $ C be a simply connected domain. The Rodin-SullivanTheorem states that a sequence of disk packings in the unit disk U converges, in a well de ned sense, to a conformal map from to U . Moreover, it is known that the rst and second derivatives converge as well. Here, it is proven that for hexagonal disk packings the convergence is C1 ...

1. In Great Britain the distribution of the riverine damselfly Calopteryx splendens is predominantly southern. However, the last decade has seen records of the species in previously unoccupied areas in the northeast of England, prompting speculation regarding northward range expansion. The current study is the first to quantify the physical features of the habitat that influence the presence of...

We exploit a natural experiment associated with a large merger in the Swedish market for analgesics (painkillers). We confront the predictions from a merger simulation study, as conducted during the investigation, with the actual merger e¤ects over a two-year comparison window. The merger simulation model is based on a constant expenditures speci…cation for the aggregate nested logit model (as ...

We propose an efficient nonparametric strategy for learning a message operator in expectation propagation (EP), which takes as input the set of incoming messages to a factor node, and produces an outgoing message as output. This learned operator replaces the multivariate integral required in classical EP, which may not have an analytic expression. We use kernel-based regression, which is traine...