Angela M Wood

Summary

Affiliation: University of Cambridge
Country: UK

Publications

  1. ncbi request reprint 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
  2. pmc Changes in association between previous therapeutic abortion and preterm birth in Scotland, 1980 to 2008: a historical cohort study
    Clare Oliver-Williams
    Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
    PLoS Med 10:e1001481. 2013
  3. pmc Within-person variability in calculated risk factors: comparing the aetiological association of adiposity ratios with risk of coronary heart disease
    David Wormser
    Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
    Int J Epidemiol 42:849-59. 2013
  4. ncbi request reprint 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. pmc Trends in socioeconomic inequalities in risk of sudden infant death syndrome, other causes of infant mortality, and stillbirth in Scotland: population based study
    Angela M Wood
    Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
    BMJ 344:e1552. 2012
  6. pmc 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
  7. pmc 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
  8. ncbi request reprint First cesarean birth and subsequent fertility
    Gordon C S Smith
    Department of Obstetrics, Cambridge University, Cambridge, United Kingdom
    Fertil Steril 85:90-5. 2006
  9. ncbi request reprint 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
  10. ncbi request reprint 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

Detail Information

Publications23

  1. ncbi request reprint 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...
  2. pmc Changes in association between previous therapeutic abortion and preterm birth in Scotland, 1980 to 2008: a historical cohort study
    Clare Oliver-Williams
    Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
    PLoS Med 10:e1001481. 2013
    ..We hypothesized that the association between previous abortion and the risk of preterm first birth changed in Scotland between 1 January 1980 and 31 December 2008...
  3. pmc Within-person variability in calculated risk factors: comparing the aetiological association of adiposity ratios with risk of coronary heart disease
    David Wormser
    Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
    Int J Epidemiol 42:849-59. 2013
    ..We investigated the extent of regression dilution bias in calculated variables and its implications for comparing the aetiological associations of risk factors...
  4. ncbi request reprint 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. pmc Trends in socioeconomic inequalities in risk of sudden infant death syndrome, other causes of infant mortality, and stillbirth in Scotland: population based study
    Angela M Wood
    Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
    BMJ 344:e1552. 2012
    ..To compare changes in inequalities in sudden infant death syndrome with other causes of infant mortality and stillbirth in Scotland, 1985-2008...
  6. pmc 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
    ....
  7. pmc 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...
  8. ncbi request reprint 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...
  9. ncbi request reprint 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...
  10. ncbi request reprint 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...
  11. doi request reprint 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...
  12. ncbi request reprint 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...
  13. ncbi request reprint 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...
  14. pmc Combining multiple imputation and meta-analysis with individual participant data
    Stephen Burgess
    Department of Public Health and Primary Care, Strangeways Research Laboratory, 2 Worts Causeway, Cambridge, CB1 8RN, U K
    Stat Med 32:4499-514. 2013
    ..We illustrate the results using data from the Emerging Risk Factors Collaboration...
  15. doi request reprint 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...
  16. ncbi request reprint Birth weight percentile and the risk of term perinatal death
    Alexandros A Moraitis
    Departments of Obstetrics and Gynaecology and Public Health and Primary Care, University of Cambridge, and the National Institute for Health Research Cambridge Comprehensive Biomedical Research Centre, Cambridge, and the Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
    Obstet Gynecol 124:274-83. 2014
    ..To estimate the association between birth weight percentile and the risk of perinatal death at term in relation to the cause of death...
  17. pmc Miscarriage and future maternal cardiovascular disease: a systematic review and meta-analysis
    Clare Teresa Oliver-Williams
    Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
    Heart 99:1636-44. 2013
    ..However, miscarriage was not mentioned within the guidelines, and there is no consensus on the association between miscarriage and future risk of cardiovascular disease...
  18. doi request reprint 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...
  19. pmc 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...
  20. pmc 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...
  21. ncbi request reprint 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...