This is a preview. Log in through your library . Abstract Analysing secondary outcomes is a common practice for case–control studies. Traditional secondary analysis employs either completely ...

Quantile regression provides an attractive tool to the analysis of censored responses, because the conditional quantile functions are often of direct interest in regression analysis, and moreover, the ...

Immunotherapy has been approved to treat many tumor types. However, one characteristic of this therapeutic class is that survival benefit is due to late immune response, which leads to a delayed ...

In this paper we propose a semi-parametric, parsimonious value-at-risk forecasting model based on quantile regression and readily available market prices of option contracts from the over-the-counter ...

Bitcoin researcher Smithson With has presented a new approach to predicting the crypto's cycle top price using a quantile regression model. This model, according to the researcher, suggests that ...

One of the more difficult challenges for modeling is deciding how (or if) to deal with extreme data points. It’s a common problem in economic and financial numbers. Fat tailed distributions are ...