A new class of multivariate discrete distributions with binomial and multinomial marginals is studied. This class of distributions is obtained in a natural manner using probabilistic properties of the sampling model considered. Some possible applications in game theory, life testing and exceedance models for order statistics are discussed.

Introduction. We explore predictors of information overload among cancer information seekers who reported having suffered from information overload. These persons were characterized by socio-demographic characteristics, health status, health information and communication environment and behavioural, cognitive, and affective cancer information seeking. Method. A secondary analysis was performed ...

The paper considers the problem of modelling association between two exposure variables in a matched case-control study, where both the exposures may be partially missing. The exposure variables could all be categorical or continuous or could be a mixed set of some categorical and some continuous variables. Association models for the missing exposure variables using the completely observed cova...

A challenge for the efficient operation of power systems and wind farms is the occurrence of wind power ramps, which are sudden large changes in the power output from a wind farm. This paper considers the probabilistic forecasting of a ramp event, defined as exceedance beyond a specified threshold. We directly model the exceedance probability using autoregressive logit models fitted to the chan...

This document presents the proof of Lemma 6(ii) given in the paper [1]: “The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square”. 1 Proof of Lemma 6(ii) We shall prove that V(τ) < τ whenever τ is sufficiently large. Before proceeding, we recall from the main text and [2, Proposition 6.4] that V(τ) := 1 κ E [ Ψ(τZ; b(τ)) ] = 1 κ E [( b(τ)ρ′ ( pr...

Multiple Logistic Regression Just as in OLS regression, logistic models can include more than one predictor. The analysis options are similar to regression. One can choose to select variables, as with a stepwise procedure, or one can enter the predictors simultaneously, or they can be entered in blocks. Variations of the likelihood ratio test can be conducted in which the chi-square test (G) is...

Logistic regression is the most common method used to model binary response data. When the response is binary, it typically takes the form of 1/0, with 1 generally indicating a success and 0 a failure. However, the actual values that 1 and 0 can take vary widely, depending on the purpose of the study. For example, for a study of the odds of failure in a school setting, 1 may have the value of f...

Introduction: The most recent economic recession left many people outside the labour market world-wide, causing widespread poverty and social exclusion. Gävleborg County in East Central Sweden experienced massive layoffs caused by closure of various industries. Objective: The objective of this study was to investigate differences in health-care use according to employment status at the pick of ...

Introduction: A growing body of evidence shows that sexual coercion is widespread among young women. Behavioral, lifestyle, and relationship factors have all been identified as risk factors that increase a women’s vulnerability to sexual coercion victimization. However, it remains unclear which risk factors most strongly increase young women’s vulnerability to sexual coercion victimization. Obj...