activity
20142026
most citedA new measure of treatment effect for random-effects meta-analysis of comparative binary outcome data

2 citations · 7 across the 15 of their papers we have counts for

collaborators

16 papers

stat.ME2026

Psychometric Tests: Quantifying the Consequences of Low Reliability and Improving Reliability Estimation

Rose Baker

We introduce a set of consequence-based measures that quantify the misclassification arising from imperfect reliability in multi-item psychometric scales. Particular attention is g…

stat.OT2022★ 1 cited

Mathematical models of confirmation bias

Rose D Baker

Confirmation bias is a cognitive bias that adversely affects management decisions, and mathematical modelling is an aid to its detailed understanding. Bias in opinion update about…

math.ST2022

A useful family of fat-tailed distributions

Rose D Baker

It is argued that there is a need for fat-tailed distributions that become thin in the extreme tail. A 3-parameter distribution is introduced that visually resembles the t-distribu…

stat.CO2021

Estimating accurate covariance matrices on fitted model parameters

Rose Baker

The accurate computation of the covariance matrix of fitted model parameters is a somewhat neglected task in Statistics. Algorithms are given for computing accurate covariance matr…

stat.AP2020★ 1 cited

Discrete distributions from a Markov chain

Rose Baker

A discrete-time stochastic process derived from a model of basketball is used to generalize any discrete distribution. The generalized distributions can have one or two more parame…

stat.AP2019

Outliers in meta-analysis: an asymmetric trimmed-mean approach

Rose Baker

The adaptive asymmetric trimmed mean is a known way of estimating central location, usually in conjunction with the bootstrap. It is here modified and applied to meta-analysis, as…