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Research publications

ISER has an enviable publications record in top academic journals and regularly presents its work at key conferences and policy events in the UK and around the world. It is also frequently commissioned to produce reports and papers for Government Departments, think tanks, charities and businesses and its important work is frequently featured in the media. You can search all of ISER’s outputs including by area of interest and author.

Displaying Publications 1 - 30 of 254 in total

Current search: 'Stephen Pudney'

  1. Researchers find blood 'biomarkers' can predict future disabilities

    Apostolos Davillas and Stephen Pudney

    1. Disability
    2. Health
    3. Life Course Analysis
    4. Biology
  2. How blood and wealth can predict future disability

    Apostolos Davillas and Stephen Pudney

    1. Disability
    2. Health
    3. Life Course Analysis
    4. Biology
  3. Using biomarkers to predict healthcare costs: evidence from a UK household panel

    Apostolos Davillas and Stephen Pudney

    1. Economics
    2. Health
    3. Life Course Analysis
    4. Social Stratification
    5. Biology
  4. Biomarkers, disability and health care demand

    Apostolos Davillas and Stephen Pudney

    1. Disability
    2. Economics
    3. Income Dynamics
    4. Health
    5. Life Course Analysis
    6. Biology
  5. Biomarkers as precursors of disability

    Apostolos Davillas and Stephen Pudney

    1. Disability
    2. Health
    3. Life Course Analysis
    4. Biology
  6. Market concentration, supply, quality and prices paid by local authorities in the English care home market

    Ferran Espuny Pujol, Ruth Hancock, Morten Hviid, et al.

    1. Older People
    2. Economics
    3. Health
  7. How do participants understand and interpret questions about "retirement planning"?

    Lindsay Abbassian, Beth Dokal, Lucy Joyce, et al.

    1. Older People
    2. Pensions
    3. Psychology
    4. Labour Market
    5. Survey Methodology
    6. Household Economics
  8. intcount: a command for fitting count-data models from interval data

    Stephen Pudney

    1. Statistical Analysis
    2. Computing
    3. Health
  9. Understanding Society Innovation Panel Wave 11: results from methodological experiments

    Jonathan Burton, Roxanne Connelly, Mick P. Couper, et al.

  10. Baseline health and public healthcare costs five years on: a predictive analysis using biomarker data in a prospective household panel

    Apostolos Davillas and Stephen Pudney

    1. Economics
    2. Health
    3. Life Course Analysis
    4. Social Stratification
    5. Biology
  11. IntCount: a Stata command for estimating count data models from interval data

    Stephen Pudney

    1. Statistical Analysis
    2. Computing
    3. Health
  12. Biomarkers as precursors of disability

    Apostolos Davillas and Stephen Pudney

    1. Disability
    2. Health
    3. Life Course Analysis
    4. Biology
  13. EQ-5D-5L versus EQ-5D-3L: the impact on cost effectiveness in the United Kingdom

    Monica Hernandez-Alava, Allan Wailoo, Sabine Grimm, et al.

    1. Economics
    2. Well Being
    3. Health
    4. Surveys
  14. Concordance of health states in couples: analysis of self-reported, nurse administered and blood-based biomarker data in the UK Understanding Society panel

    Apostolos Davillas and Stephen Pudney

    1. Medicine
    2. Economics
    3. Health
    4. Biology
  15. Econometric modelling of multiple self-reports of health states: the switch from EQ-5D-3L to EQ-5D-5L in evaluating drug therapies for rheumatoid arthritis

    Monica Hernandez-Alava and Stephen Pudney

    1. Economics
    2. Health
  16. Concordance of health states in couples. Analysis of self-reported, nurse administered and blood-based biomarker data in Understanding Society

    Apostolos Davillas and Stephen Pudney

    1. Medicine
    2. Economics
    3. Health
    4. Biology
  17. bicop: a command for fitting bivariate ordinal regressions with residual dependence characterized by a copula function and normal mixture marginals

    Monica Hernandez-Alava and Stephen Pudney

    1. Statistical Analysis
    2. Computing
  18. Mr Nice, drug trafficking – and how Britain now grows its own weed

    Stephen Pudney

  19. Copula-based modelling of self-reported health states: an application to the use of EQ-5D-3L and EQ-5D-5L in evaluating drug therapies for rheumatic disease

    Monica Hernandez-Alava and Stephen Pudney

    1. Medicine
    2. Economics
    3. Health
  20. Counting the wages of sin: why is it misleading to include the value of illegal drugs to the UK economy in GDP figures?

    Stephen Pudney

  21. Do household surveys give a coherent view of disability benefit targeting?: a multisurvey latent variable analysis for the older population in Great Britain

    Ruth Hancock, Marcello Morciano, Stephen Pudney, et al.

    1. Disability
    2. Households
    3. Welfare Benefits
    4. Surveys
  22. Cannabis legalisation worth millions - government report

    Mark L. Bryan, Emilia Del Bono, and Stephen Pudney

  23. Legalising cannabis would raise millions in tax, says government study

    Mark L. Bryan, Emilia Del Bono, and Stephen Pudney

  24. Leaked Treasury report reveals legalised cannabis could be worth hundreds of millions to the Exchequer

    Mark L. Bryan, Emilia Del Bono, and Stephen Pudney

  25. Legalising cannabis in the UK 'would raise hundreds of millions'

    Mark L. Bryan, Emilia Del Bono, and Stephen Pudney

  26. Treasury makes financial case for legalising drugs

    Mark L. Bryan, Emilia Del Bono, and Stephen Pudney

  27. Cannabis: healthy benefit or deadly threat?

    Mark L. Bryan, Emilia Del Bono, and Stephen Pudney

  28. A look at how legalising cannabis could save hundreds of millions of pounds

    Mark L. Bryan, Emilia Del Bono, and Stephen Pudney

  29. Survey response behaviour and the dynamics of self-reported health and disability: an experimental analysis

    Annette Jäckle and Stephen Pudney

    1. Disability
    2. Survey Methodology
    3. Health
  30. Survey design, survey response behaviour and the dynamics of self-reported health and disability

    Stephen Pudney and Annette Jäckle

    1. Disability
    2. Survey Methodology
    3. Health

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