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- John B. Copas, Jian Qing Shi
- Statistical methods in medical research
- 2001

There is no simple method of correcting for publication bias in systematic reviews. We suggest a sensitivity analysis in which different patterns of selection bias can be tested against the fit to the funnel plot. Publication bias leads to lower values, and greater uncertainty, in treatment effect estimates. Two examples are discussed. An appendix lists the… (More)

- Jian Qing Shi, Roderick Murray-Smith, D. M. Titterington
- Statistics and Computing
- 2005

As a result of their good performance in practice and their desirable analytical properties, Gaussian process regression models are becoming increasingly of interest in statistics, engineering and other fields. However, two major problems arise when the model is applied to a large data-set with repeated measurements. One stems from the systematic… (More)

- Sik-Yum Lee, Jian Qing Shi
- Biometrics
- 2001

Two-level data with hierarchical structure and mixed continuous and polytomous data are very common in biomedical research. In this article, we propose a maximum likelihood approach for analyzing a latent variable model with these data. The maximum likelihood estimates are obtained by a Monte Carlo EM algorithm that involves the Gibbs sampler for… (More)

- Jian Qing Shi
- 2002

For a large data-set with groups of repeated measurements, a mixture model of Gaussian process priors is proposed for modelling the heterogeneity among the different replications. A hybrid Markov chain Monte Carlo (MCMC) algorithm is developed for the implementation of the model for regression and classification. The regression model and its implementation… (More)

- John B. Copas, Jian Qing Shi
- BMJ
- 2000

OBJECTIVE
To assess the epidemiological evidence for an increase in the risk of lung cancer resulting from exposure to environmental tobacco smoke.
DESIGN
Reanalysis of 37 published epidemiological studies previously included in a meta-analysis allowing for the possibility of publication bias.
MAIN OUTCOME MEASURE
Relative risk of lung cancer among… (More)

- John B. Copas, Jian Qing Shi
- Biostatistics
- 2000

Publication bias is a major problem, perhaps the major problem, in meta-analysis (or systematic reviews). Small studies are more likely to be published if their results are 'significant' than if their results are negative or inconclusive, and so the studies available for review are biased in favour of those with positive outcomes. Correcting for this bias… (More)

- Jian Qing Shi, John B. Copas
- Statistics in medicine
- 2004

Grouped dose measures, heterogeneity and publication bias are three major problems for meta-analysis in trend estimation. In this paper, we propose a model that allows for arbitrarily aggregated dose levels, and show that the resulting estimates and standard errors can be quite different from those given by the usual assigned value method. Based on fitting… (More)

- Jian Qing Shi, Belinda Wang, Roderick Murray-Smith, D. M. Titterington
- Biometrics
- 2007

A Gaussian process functional regression model is proposed for the analysis of batch data. Covariance structure and mean structure are considered simultaneously, with the covariance structure modeled by a Gaussian process regression model and the mean structure modeled by a functional regression model. The model allows the inclusion of covariates in both… (More)

This paper presents analysis of the standing–up manoeuvre in paraplegia considering the body supportive forces as a potential feedback source in FES-assisted standing–up. The analysis investigates the significance of particular feedback signals to the human body centreof-mass (COM) trajectory reconstruction. Two nonlinear empirical modeling methods are… (More)

- Jian Qing Shi
- 2002

Mixture models have very wide application. However, the problem of determining the number of components, K say, is one of the challenging problems in this area. There are several approaches in the literature for testing K for di erent values. A recent alternative approach is to treat K as unknown, and to model K and the mixture component parameters jointly;… (More)