Peter Congdon

15 papers Journal 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Ecological inference for relative risks, with application to infrequent mental health events.
J. Geogr. Syst.
Peter Congdon
2022 J jnl
A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates.
J. Geogr. Syst.
Peter Congdon
2014 J jnl
Estimating life expectancies for US small areas: a regression framework.
J. Geogr. Syst.
Peter Congdon
2013 J jnl
Modelling small-area inequality in premature mortality using years of life lost rates.
J. Geogr. Syst.
Peter Congdon
2010 J jnl
A multiple indicator, multiple cause method for representing social capital with an application to psychological distress.
J. Geogr. Syst.
Peter Congdon
2009 J jnl
Modelling the impact of socioeconomic structure on spatial health outcomes.
Comput. Stat. Data Anal.
Peter Congdon
2009 J jnl
Spatial statistics: Methods, models & computation.
Comput. Stat. Data Anal.
James Paul LeSage, Sudipto Banerjee, Manfred M. Fischer, Peter Congdon
2008 J jnl
A bivariate frailty model for events with a permanent survivor fraction and non-monotonic hazards; with an application to age at first maternity.
Comput. Stat. Data Anal.
Peter Congdon
2008 J jnl
The need for psychiatric care in England: a spatial factor methodology.
J. Geogr. Syst.
Peter Congdon
2007 J jnl
Bayesian modelling strategies for spatially varying regression coefficients: A multivariate perspective for multiple outcomes.
Comput. Stat. Data Anal.
Peter Congdon
2007 J jnl
Mixtures of spatial and unstructured effects for spatially discontinuous health outcomes.
Comput. Stat. Data Anal.
Peter Congdon
2006 J jnl
A model for non-parametric spatially varying regression effects.
Comput. Stat. Data Anal.
Peter Congdon
2006 J jnl
Bayesian model choice based on Monte Carlo estimates of posterior model probabilities.
Comput. Stat. Data Anal.
Peter Congdon
2005 J jnl
Bayesian predictive model comparison via parallel sampling.
Comput. Stat. Data Anal.
Peter Congdon
2003 J jnl
Modelling spatially varying impacts of socioeconomic predictors on mortality outcomes.
J. Geogr. Syst.
Peter Congdon