Angela M Wood

Summary

Affiliation: University of Cambridge
Country: UK

Publications

  1. ncbi Comparison of imputation and modelling methods in the analysis of a physical activity trial with missing outcomes
    Angela M Wood
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 2SR, UK
    Int J Epidemiol 34:89-99. 2005
  2. ncbi Imputation methods for missing outcome data in meta-analysis of clinical trials
    Julian P T Higgins
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge, UK
    Clin Trials 5:225-39. 2008
  3. ncbi Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals
    Angela M Wood
    MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK
    Clin Trials 1:368-76. 2004
  4. ncbi Allowing for uncertainty due to missing data in meta-analysis--part 2: hierarchical models
    Ian R White
    MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK
    Stat Med 27:728-45. 2008
  5. ncbi Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies
    David Wormser
    Emerging Risk Factors Collaboration Coordinating Centre, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge CB1 8RN, UK
    Lancet 377:1085-95. 2011
  6. ncbi Advanced maternal age and the risk of perinatal death due to intrapartum anoxia at term
    Dharmintra Pasupathy
    Department of Obstetrics and Gynaecology, University of Cambridge, Cambridge, UK
    J Epidemiol Community Health 65:241-5. 2011
  7. ncbi Birth weight and the risk of cardiovascular disease in the maternal grandparents
    Gordon C S Smith
    Department of Obstetrics and Gynaecology, University of Cambridge, The Rosie Hospital, Cambridge CB2 0SW, UK
    Am J Epidemiol 171:736-44. 2010
  8. ncbi How should variable selection be performed with multiply imputed data?
    Angela M Wood
    Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge CB2 8RN, UK
    Stat Med 27:3227-46. 2008
  9. ncbi First cesarean birth and subsequent fertility
    Gordon C S Smith
    Department of Obstetrics, Cambridge University, Cambridge, United Kingdom
    Fertil Steril 85:90-5. 2006
  10. ncbi Sudden infant death syndrome and complications in other pregnancies
    Gordon C S Smith
    Department of Obstetrics and Gynaecology, Cambridge University, Rosie Hospital, Cambridge CB2 2SW, UK
    Lancet 366:2107-11. 2005

Detail Information

Publications17

  1. ncbi Comparison of imputation and modelling methods in the analysis of a physical activity trial with missing outcomes
    Angela M Wood
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 2SR, UK
    Int J Epidemiol 34:89-99. 2005
    ..Here we review a wide range of methods to handle missing outcomes in single and repeated measures data and discuss which methods are most appropriate...
  2. ncbi Imputation methods for missing outcome data in meta-analysis of clinical trials
    Julian P T Higgins
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge, UK
    Clin Trials 5:225-39. 2008
    ..An intention-to-treat analysis should take account of all randomized participants even if they have missing observations...
  3. ncbi Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals
    Angela M Wood
    MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK
    Clin Trials 1:368-76. 2004
    ..We examine how missing outcome data are handled in randomized controlled trials in order to assess whether adequate steps have been taken to reduce nonresponse bias and to identify ways to improve procedures for missing data...
  4. ncbi Allowing for uncertainty due to missing data in meta-analysis--part 2: hierarchical models
    Ian R White
    MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK
    Stat Med 27:728-45. 2008
    ..By applying the method in three different data sets, we show that it is possible to appropriately capture the extra uncertainty due to missing data, and we discuss in what circumstances it is possible to learn about the IMOR...
  5. ncbi Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies
    David Wormser
    Emerging Risk Factors Collaboration Coordinating Centre, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge CB1 8RN, UK
    Lancet 377:1085-95. 2011
    ..We studied the separate and combined associations of body-mass index (BMI), waist circumference, and waist-to-hip ratio with risk of first-onset cardiovascular disease...
  6. ncbi Advanced maternal age and the risk of perinatal death due to intrapartum anoxia at term
    Dharmintra Pasupathy
    Department of Obstetrics and Gynaecology, University of Cambridge, Cambridge, UK
    J Epidemiol Community Health 65:241-5. 2011
    ..However, the effect of maternal age on the risk of perinatal death due to these complications is unclear. The aim of the present study was to determine the association between maternal age and delivery-related perinatal death at term...
  7. ncbi Birth weight and the risk of cardiovascular disease in the maternal grandparents
    Gordon C S Smith
    Department of Obstetrics and Gynaecology, University of Cambridge, The Rosie Hospital, Cambridge CB2 0SW, UK
    Am J Epidemiol 171:736-44. 2010
    ..Familial aggregation of common determinants of pregnancy complications and cardiovascular disease is the likely explanation for the relation between an infant's birth weight and the risk of cardiovascular disease in other family members...
  8. ncbi How should variable selection be performed with multiply imputed data?
    Angela M Wood
    Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge CB2 8RN, UK
    Stat Med 27:3227-46. 2008
    ..Most methods improve on the naïve complete-case analysis for variable selection, but importantly the type 1 error is only preserved if selection is based on RR, which is our recommended approach...
  9. ncbi First cesarean birth and subsequent fertility
    Gordon C S Smith
    Department of Obstetrics, Cambridge University, Cambridge, United Kingdom
    Fertil Steril 85:90-5. 2006
    ..To determine whether cesarean delivery is independently associated with later subfertility...
  10. ncbi Sudden infant death syndrome and complications in other pregnancies
    Gordon C S Smith
    Department of Obstetrics and Gynaecology, Cambridge University, Rosie Hospital, Cambridge CB2 2SW, UK
    Lancet 366:2107-11. 2005
    ..We postulated that women whose infants died from SIDS would be more likely to have had obstetric complications in their other pregnancies...
  11. ncbi Second-trimester maternal serum levels of alpha-fetoprotein and the subsequent risk of sudden infant death syndrome
    Gordon C S Smith
    Department of Obstetrics and Gynaecology, Cambridge University, Cambridge, United Kingdom
    N Engl J Med 351:978-86. 2004
    ..It is unknown whether alpha-fetoprotein levels also predict the risk of SIDS...
  12. ncbi A framework for quantifying net benefits of alternative prognostic models
    Eleni Rapsomaniki
    Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
    Stat Med 31:114-30. 2012
    ....
  13. ncbi Multiple imputation using chained equations: Issues and guidance for practice
    Ian R White
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 0SR, U K
    Stat Med 30:377-99. 2011
    ..We stress the limitations of the method and discuss the possible pitfalls. We illustrate the ideas using a data set in mental health, giving Stata code fragments...
  14. ncbi Allowing for uncertainty due to missing data in meta-analysis--part 1: two-stage methods
    Ian R White
    MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK
    Stat Med 27:711-27. 2008
    ..We illustrate the methods using a meta-analysis on psychiatric interventions in deliberate self-harm...
  15. ncbi Multiple imputation using chained equations: Issues and guidance for practice
    Ian R White
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 0SR, U K
    Stat Med 30:377-99. 2011
    ..We stress the limitations of the method and discuss the possible pitfalls. We illustrate the ideas using a data set in mental health, giving Stata code fragments. Copyright © 2010 John Wiley & Sons, Ltd...
  16. ncbi Evaluating the prognostic value of new cardiovascular biomarkers
    Angela M Wood
    Department of Public Health and Primary Care and Department of Biostatistics, University of Cambridge, Cambridge, UK
    Dis Markers 26:199-207. 2009
    ..In this report, we discuss the statistical approaches that can be used to evaluate additive predictive value of new tests. We also consider clinical research examples to put this information into a practical context...
  17. ncbi Regression dilution methods for meta-analysis: assessing long-term variability in plasma fibrinogen among 27,247 adults in 15 prospective studies
    Angela M Wood
    Int J Epidemiol 35:1570-8. 2006
    ..More generally, the methods described in this report have widespread applicability to quantifying regression dilution bias in repeatability data from multiple prospective studies...