Search Results for author: Paul J. Newcombe

Found 3 papers, 1 papers with code

Statistical Methods for cis-Mendelian Randomization with Two-sample Summary-level Data

no code implementations11 Jan 2021 Apostolos Gkatzionis, Stephen Burgess, Paul J. Newcombe

Mendelian randomization is the use of genetic variants to assess the existence of a causal relationship between a risk factor and an outcome of interest.

Variable Selection

A Bayesian framework for case-cohort Cox regression: application to dietary epidemiology

1 code implementation25 Jul 2020 Andrew Yiu, Robert J. B. Goudie, Stephen J. Sharp, Paul J. Newcombe, Brian D. M. Tom

Weighted Cox regression is the most widely used approach for analysing case-cohort data within the Cox model, but is inefficient.

Methodology Applications

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