Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 63, No. 1 (2001), pp. 3-17 (15 pages) We present a Bayesian analysis of a piecewise linear model constructed using ...

This is a preview. Log in through your library . Abstract Simultaneous procedures for variable selection in multiple linear regression have recently been given by Aitkin. One of these procedures, ...

Overcoming acquired osimertinib-resistance in EGFR-mutant advanced non-small lung cancer mediated by activating BRAF V600E mutation. This is an ASCO Meeting Abstract from the 2019 ASCO Annual Meeting ...

A previous study demonstrated that power against the (unobserved) true effect for the primary end point (PEP) of most phase III oncology trials is low, suggesting an increased risk of false-negative ...

Background: Regression analysis is an important statistical method for the analysis of medical data. It enables the identification and characterization of relationships among multiple factors. It also ...

This paper considers the problem of jointly decomposing a set of time series variables into cyclical and trend components, subject to sets of stochastic linear restrictions among these cyclical and ...

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...