S R Seaman

Summary

Affiliation: University of Cambridge
Country: UK

Publications

  1. ncbi A Bayesian partition model for case-control studies on highly polymorphic candidate genes
    S R Seaman
    MRC Biostatistics Unit, Institute of Public Health, Cambridge, England
    Genet Epidemiol 22:356-68. 2002
  2. ncbi Multiple imputation of missing covariates with non-linear effects and interactions: an evaluation of statistical methods
    Shaun R Seaman
    MRC Biostatistics Unit, Institute of Public Health, Cambridge CB2 0SR, UK
    BMC Med Res Methodol 12:46. 2012
  3. ncbi Combining multiple imputation and inverse-probability weighting
    Shaun R Seaman
    MRC Biostatistics Unit, Cambridge, UK
    Biometrics 68:129-37. 2012
  4. ncbi Doubly robust generalized estimating equations for longitudinal data
    Shaun Seaman
    Institute of Public Health, Robinson Way, Cambridge CB2 0SR, UK
    Stat Med 28:937-55. 2009
  5. ncbi Mortality from overdose among injecting drug users recently released from prison: database linkage study
    S R Seaman
    Medical Research Council Biostatistics Unit, Institute of Public Health, Cambridge
    BMJ 316:426-8. 1998
  6. ncbi Rapid simulation of P values for product methods and multiple-testing adjustment in association studies
    S R Seaman
    Max Planck Institute of Psychiatry, Munich, Germany
    Am J Hum Genet 76:399-408. 2005
  7. ncbi Multiple Sclerosis Severity Score: using disability and disease duration to rate disease severity
    R H S R Roxburgh
    Neurology Department, Cambridge University, UK
    Neurology 64:1144-51. 2005
  8. ncbi Effect of genotyping error on type-I error rate of affected sib pair studies with genotyped parents
    S R Seaman
    Max Planck Institute of Psychiatry, Munich, Germany
    Hum Hered 59:157-64. 2005
  9. ncbi Familial effects on the clinical course of multiple sclerosis
    A E Hensiek
    Department of Clinical Neuroscience, University of Cambridge Clinical School, Addenbrooke s Hospital, Box 165, Cambridge CB2 2QQ, UK
    Neurology 68:376-83. 2007

Collaborators

Detail Information

Publications9

  1. ncbi A Bayesian partition model for case-control studies on highly polymorphic candidate genes
    S R Seaman
    MRC Biostatistics Unit, Institute of Public Health, Cambridge, England
    Genet Epidemiol 22:356-68. 2002
    ..The partition model enables genotype risks to be estimated more accurately and the alleles to be ranked according to risk...
  2. ncbi Multiple imputation of missing covariates with non-linear effects and interactions: an evaluation of statistical methods
    Shaun R Seaman
    MRC Biostatistics Unit, Institute of Public Health, Cambridge CB2 0SR, UK
    BMC Med Res Methodol 12:46. 2012
    ..In 'passive imputation' a value X* is imputed for X and then X2 is imputed as (X*)2. A recent proposal is to treat X2 as 'just another variable' (JAV) and impute X and X2 under multivariate normality...
  3. ncbi Combining multiple imputation and inverse-probability weighting
    Shaun R Seaman
    MRC Biostatistics Unit, Cambridge, UK
    Biometrics 68:129-37. 2012
    ..IPW/MI is applied to data from the National Child Development Study...
  4. ncbi Doubly robust generalized estimating equations for longitudinal data
    Shaun Seaman
    Institute of Public Health, Robinson Way, Cambridge CB2 0SR, UK
    Stat Med 28:937-55. 2009
    ..We describe DR GEE, and illustrate their use on simulated data. We also analyse the INITIO randomized clinical trial of HIV therapy allowing for MAR dropout...
  5. ncbi Mortality from overdose among injecting drug users recently released from prison: database linkage study
    S R Seaman
    Medical Research Council Biostatistics Unit, Institute of Public Health, Cambridge
    BMJ 316:426-8. 1998
    ..5 (1.7 to 11.7) for death from overdose. After temporal matching these risks became 1.8 (0.4 to 9.2). CONCLUSION: Prisons should evaluate interventions to reduce the risk of death from overdose after release...
  6. ncbi Rapid simulation of P values for product methods and multiple-testing adjustment in association studies
    S R Seaman
    Max Planck Institute of Psychiatry, Munich, Germany
    Am J Hum Genet 76:399-408. 2005
    ..We demonstrate the accuracy of the DSA on real and simulated data and illustrate how it might be used in the analysis of a whole-genome association study...
  7. ncbi Multiple Sclerosis Severity Score: using disability and disease duration to rate disease severity
    R H S R Roxburgh
    Neurology Department, Cambridge University, UK
    Neurology 64:1144-51. 2005
    ..There is no consensus method for determining progression of disability in patients with multiple sclerosis (MS) when each patient has had only a single assessment in the course of the disease...
  8. ncbi Effect of genotyping error on type-I error rate of affected sib pair studies with genotyped parents
    S R Seaman
    Max Planck Institute of Psychiatry, Munich, Germany
    Hum Hered 59:157-64. 2005
    ..The effect of genotyping error when parents have been genotyped is unknown. We investigated the type I error rate of the single-point Mean test for studies in which genotypes of both parents are available...
  9. ncbi Familial effects on the clinical course of multiple sclerosis
    A E Hensiek
    Department of Clinical Neuroscience, University of Cambridge Clinical School, Addenbrooke s Hospital, Box 165, Cambridge CB2 2QQ, UK
    Neurology 68:376-83. 2007
    ..Familial factors influence susceptibility to multiple sclerosis (MS) but it is unknown whether there are additional effects on the natural history of the disease...