Raymer, James, Smith, Peter W.F., Giulietti, Corrado
In this paper, we develop a model that allows us to combine England's annual (incomplete) National Health Service registration data with (auxiliary) decennial census data. The result is a synthetic...
Simulating interventions in graphical chain models for longitudinal data (2008)
Borgoni, Riccardo, Smith, Peter W. F., Berrington, Ann M.
Simulating the outcome of an intervention is a central problem in many fields as this allows decision-makers to quantify the effect of any given strategy and, hence, to evaluate different schemes of...
Berrington, Ann, Hu, Yongjian, Smith, Peter W. F., Sturgis, Patrick
Summary. We use a graphical chain model to investigate the reciprocal relationships between changes in women's labour force participation following entry into parenthood and changes in gender role...
Salgueiro, Maria De Fátima, Smith, Peter W.F., McDonald, John W.
The association structure between manifest variables arising from the single-factor model is investigated using partial correlations. The additional insights to the practitioner provided by partial...
Raymer, James, Abel, Guy, Smith, Peter W. F.
An algorithm is developed to estimate detailed elderly migration flows by combining data from the 2001 Census and National Health Services (NHS) patient register. After showing that the Census and...
Raymer, James, Abel, Guy, Smith, Peter W.F.
A log-linear model is developed to estimate detailed elderly migration flows by combining data from the 2001 UK census and National Health Services patient register. After showing that the census and...
Salgueiro, Maria De Fátima, Smith, Peter W.F., McDonald, John W.
The association structure between manifest variables arising from the single-factor model is investigated using partial correlations. The additional insights to the practitioner provided by partial...
Markov chain Monte Carlo exact inference for analysing social networks data (2007)
McDonald, John W., Smith, Peter W.F., Forster, Jonathan J.
A test of reciprocity is often performed by analysts of social network data. This test corresponds to testing whether a parameter in an exponential family model for the adjacency matrix is zero. The...
An overview of methods for the analysis of panel data (2006)
Berrington, Ann, Smith, Peter W.F., Sturgis, Patrick
The aim of this paper is to provide an introduction to the aims, underlying theory and practical application of change score, graphical chain, fixed/random effects and two different types of...
Salguiero, Maria De Fátima, Smith, Peter W. F., McDonald, John W.
The association structure between manifest variables arising from the single-factor model is investigated using the partial correlation matrix. The additional insights to the practitioner, provided...
Connections between single-factor analysis and graphical Gaussian models (2006)
Salguiero, Maria De Fátima, Smith, Peter W. F., McDonald, John W.
The classical single-factor model is parametrized as a graphical Gaussian model. The relationship between the classical parametrization of the single-factor model and this alternative parametrization...
Lynch, Jeannette, Kendrick, Tony, Moore, Michael, Johnston, Olwyn, Smith, Peter W.F.
Background: Patients have a wide range of explanations for their depression and it is not known how these beliefs influence subsequent behaviour and hence outcome. Research question: What are...
Everitt, Hazel A., Little, Paul S., Smith, Peter W.F.
Objective To assess different management strategies for acute infective conjunctivitis. Design Open, factorial, randomised controlled trial. Setting 30 general practices in southern England....
Meaningful regression and association models for clustered ordinal data (2006)
Jokinen, Jukka, McDonald, John W., Smith, Peter W. F.
Many proposed methods for analyzing clustered ordinal data focus on the regression model and consider the association structure within a cluster as a nuisance. However, often the association...
Contraceptive awareness among men in Bangladesh (2006)
Islam, Mohammad Amirul, Padmadas, Sabu S., Smith, Peter W.F.
Objective: A considerable gap exists between contraceptive awareness and use. Traditional approaches to measuring awareness are inadequate to properly understand the linkages between awareness and...
Power of edge exclusion tests for graphical log-linear models (2006)
Salgueiro, M. Fátima, Smith, Peter W. F., McDonald, John W.
Asymptotic multivariate normal approximations to the joint distributions of edge exclusion test statistics for saturated graphical log-linear models, with all variables binary, are derived....
A latent class model for bivariate binary responses from twins (2006)
Ekholm, Anders, Jokinen, Jukka, McDonald, John W., Smith, Peter W.F.
We analyse a 2^4 table reporting the presence or absence of alcohol dependence and depression in both members of 597 pairs of female monozygotic twins. The statistical analysis is based on a latent...
Berrington, Ann, Diamond, Ian, Ingham, Roger, Stevenson, Jim, Borgoni, Riccardo, Cobos Hernández, M. Isabel, ...
This project was one of a programme of nine jointly funded by the Teenage Pregnancy Unit and the Policy Research Programme, Department of Health. The study used data from two large longitudinal...
GP treatment decisions for patients with depression: an observational study (2005)
Kendrick, Tony, King, Fiona, Albertella, Louise, Smith, Peter W.F.
Background: GPs are prescribing more antidepressants than previously, but not in accordance with guidelines. The reasons why they prescribe are not well understood. Aim: To explore associations...
Power of edge exclusion tests for graphical log-linear models (2005)
Salguiero, M. Fatima, Smith, Peter W. F., McDonald, John W.
Asymptotic multivariate normal approximations to the joint distributions of edge exclusion test statistics for saturated graphical log-linear models, with all variables binary, are derived....
GP treatment decisions for patients with depression: an observational study (2005)
Kendrick, Tony, King, Fiona, Albertella, Louise, Smith, Peter W.F.
Background: GPs are prescribing more antidepressants than previously, but not in accordance with guidelines. The reasons why they prescribe are not well understood. Aim: To explore associations...
GP treatment decisions in depression: an observational study (2005)
Kendrick, Tony, King, Fiona, Albertella, Louise, Smith, Peter W.F.
Background: GPs are prescribing more antidepressants than previously, but not in accordance with guidelines. The reasons why they prescribe are not well understood. Aim: To explore associations...
On maximum likelihood estimation for log-linear models with non-ignorable non-response (2005)
Clarke, Paul S., Smith, Peter W.F.
Non-response boundary solutions occur in log-linear models with non-ignorable non-response. We prove existence and uniqueness of maximum likelihood estimates under weak conditions, and their...
Power of edge exclusion tests in graphical Gaussian models (2005)
Salgueiro, M. Fátima, Smith, Peter W.F., McDonald, John W.
Asymptotic multivariate normal approximations to the joint distributions of edge exclusion test statistics for saturated graphical Gaussian models are derived. Non-signed and signed square-root...
Power of edge exclusion tests in graphical Gaussian models (2005)
Salgueiro, M. Fátima, Smith, Peter W. F., McDonald, John W.
Asymptotic multivariate normal approximations to the joint distributions of edge exclusion test statistics for saturated graphical Gaussian models are derived. Non-signed and signed square-root...
Selecting and fitting graphical chain models to longitudinal data (2004)
Borgoni, Riccardo, Berrington, Ann M., Smith, Peter W. F.
The aim of this paper is to demonstrate how graphical chain models can be used as effective tools in life course research focusing in particular on models for longitudinal prospective data. The...
Butler, Janet A., Peveler, Robert C., Roderick, Paul, Smith, Peter W. F., Horne, Robert, Mason, Juan C.
Background. Non-adherence to immunosuppressants is a major cause of renal transplant failure. Interventions to improve adherence need to target modifiable risk factors. Methods. Adherence was...
Butler, Janet A., Peveler, Robert C., Roderick, Paul, Smith, Peter W. F., Horne, Robert, Mason, Juan C.
Background. Non-adherence to immunosuppressants is a major cause of renal transplant failure. Interventions to improve adherence need to target modifiable risk factors. Methods. Adherence was...
Griffiths, Paula L., Brown, James J., Smith, Peter W.F.
We compare two different multilevel modelling approaches to the analysis of repeated measures data to assess the effect of mother level characteristics on women's use of prenatal care services in...
Butler, Janet A., Peveler, Robert C., Roderick, Paul, Smith, Peter W. F., Horne, Robert, Mason, Juan C.
Background. Non-adherence to immunosuppressants is a major cause of renal transplant failure. Interventions to improve adherence need to target modifiable risk factors. Methods. Adherence was...
Butler, Janet A., Peveler, Robert C., Roderick, Paul, Smith, Peter W. F., Horne, Robert, Mason, Juan C.
Background. Non-adherence to immunosuppressants is a major cause of renal transplant failure.Interventions to improve adherence need to target modifiable risk factors. Methods. Adherence was measured...
Clarke, Paul S., Smith, Peter W. F.
It is common that log-linear models for multi-way contingency tables with one variable subject to non-ignorable non-response will yield non-response boundary solutions, where the probability of...
Forster, Jonathan J., McDonald, John W., Smith, Peter W.F.
We develop Metropolis-Hastings algorithms for exact conditional inference, including goodness-of-fit tests, confidence intervals and residual analysis, for binomial and multinomial logistic...
Joint regression and association modeling of longitudinal ordinal data (2003)
Ekholm, Anders, Jokinen, Jukka, McDonald, John W., Smith, Peter W.F.
We propose models for longitudinal, or otherwise clustered, ordinal data. The association between subunit responses is characterized by dependence ratios (Ekholm, Smith, and McDonald, 1995,...
Forster, Jonathan J., McDonald, John W., Smith, Peter W. F.
We develop Metropolis-Hastings algorithms for exact conditional inference, including goodness-of-fit tests, confidence intervals and residual analysis, for binomial and multinomial logistic...
Association models for a multivariate binary response (2000)
Ekholm, Anders, McDonald, John W., Smith, Peter W.F.
Models for a multivariate binary response are parameterized by univariate marginal probabilities and dependence ratios of all orders. The w-order dependence ratio is the joint success probability of...
Lang, Joseph B., McDonald, John W., Smith, Peter W.F.
Generalized log-linear models can be used to describe the association structure and marginal distribution using association-marginal (AM) models, which are specially formulated generalized log-linear...
Exact tests of goodness of fit for log-linear models for rates (1999)
McDonald, John W., Smith, Peter W.F., Forster, Jonathan J.
We propose Metropolis–Hastings sampling methods for estimating the exact conditional p-value for tests of goodness of fit of log-linear models for mortality rates and standardized mortality ratios....
Forster, Jonathan J., Smith, Peter W.F.
We consider non-response models for a single categorical response with categorical covariates whose values are always observed. We present Bayesian methods for ignorable models and a particular...
Monte Carlo exact tests for log-linear and logistic models. (1996)
Forster, Jonathan J., McDonald, John W., Smith, Peter W.F.
The form of the exact conditional distribution of a sufficient statistic for the interest parameters, given a sufficient statistic for the nuisance parameters, is derived for a generalized linear...
Monte Carlo exact methods used for analysing interethnic unions in Great Britain (1996)
Smith, Peter W.F., McDonald, John W., Forster, Jonathan J., Berrington, Ann M.
In the analysis of symmetric intermarriage and social mobility tables, interest is focused on the models of quasi-independence and quasi-symmetry for the off-diagonal cells. Typically, many of the...
Marginal regression analysis of multivariate binary response (1995)
Ekholm, Anders, Smith, Peter W.F., McDonald, John W.
We propose the use of the mean parameter for regression analysis of a multivariate binary response. We model the association using dependence ratios defined in terms of the mean parameter, the...
Smith, Peter W. F., McDonald, John W.
A Monte Carlo exact conditional test of quasi-independence in two-way incomplete contingency tables is proposed. The null distribution of a random table under quasiindependence is derived. This...
Marginal regression analysis of a multivariate binary response (1995)
EKHOLM, ANDERS, SMITH, PETER W. F., MCDONALD, JOHN W.
We propose the use of the mean parameter for regression analysis of a multivariate binary response. We model the association using dependence ratios defined in terms of the mean parameter, the...
Everitt, Hazel A, Little, Paul S, Smith, Peter W F
Objective To assess different management strategies for acute infective conjunctivitis.
Everitt, Hazel A, Little, Paul S, Smith, Peter W F
Objective To assess different management strategies for acute infective conjunctivitis.
On maximum likelihood estimation for log-linear models with non-ignorable non-response
Clarke, Paul S., Smith, Peter W.F.
Non-response boundary solutions occur in log-linear models with non-ignorable non-response. We prove existence and uniqueness of maximum likelihood estimates under weak conditions, and their...
Power of edge exclusion tests for graphical log-linear models
Fátima Salgueiro, M., Smith, Peter W.F., McDonald, John W.
Asymptotic multivariate normal approximations to the joint distributions of edge exclusion test statistics for saturated graphical log-linear models, with all variables binary, are derived....