Details about Ian R. White

Access statistics for papers by Ian R. White.

Last updated 2025-01-07. Update your information in the RePEc Author Service.

Short-id: pwh62

Working Papers

2023

1. How to check a simulation study
   OSF Preprints, Center for Open Science
   Also in UK Stata Conference 2023, Stata Users Group (2023)
2. Multiply imputing informatively censored time-to-event data
   UK Stata Conference 2023, Stata Users Group

2022

3. A suite of Stata programs for analysing simulation studies
   London Stata Conference 2022, Stata Users Group

2021

4. A unified Stata package for calculating sample sizes for trials with binary outcomes (artbin)
   London Stata Conference 2021, Stata Users Group
5. Covariate adjustment in a randomised trial with time-to-event outcomes
   London Stata Conference 2021, Stata Users Group

2020

6. Sample size calculation for an ordered categorical outcome
   London Stata Conference 2020, Stata Users Group

2019

7. Bayesian network meta-analysis
   London Stata Conference 2019, Stata Users Group View citations (1)

2016

8. Using simulation studies to evaluate statistical methods in Stata: A tutorial
   United Kingdom Stata Users' Group Meetings 2016, Stata Users Group View citations (1)

2014

9. Handling treatment changes in randomized trials
   United Kingdom Stata Users' Group Meetings 2014, Stata Users Group

2013

10. A suite of Stata programs for network meta-analysis
    United Kingdom Stata Users' Group Meetings 2013, Stata Users Group

2011

11. Sensitivity analysis for randomized trials with missing outcome data
    United Kingdom Stata Users' Group Meetings 2011, Stata Users Group
12. Testing the performance of the two fold FCS algorithm for multiple imputation of longitudinal clinical records
    United Kingdom Stata Users' Group Meetings 2011, Stata Users Group

2010

13. An overview of meta-analysis in Stata
    United Kingdom Stata Users' Group Meetings 2010, Stata Users Group

2009

14. Summarising the results of simulation studies
    United Kingdom Stata Users' Group Meetings 2009, Stata Users Group

2007

15. metamiss: Meta-analysis with missing data
    United Kingdom Stata Users' Group Meetings 2007, Stata Users Group

2006

16. Problems with infinite solutions in logistic regression
    United Kingdom Stata Users' Group Meetings 2006, Stata Users Group

2004

17. Compliance-adjusted intervention effects in survival data
    United Kingdom Stata Users' Group Meetings 2004, Stata Users Group
    See also Journal Article Compliance-adjusted intervention effects in survival data, Stata Journal, StataCorp LLC (2004) (2004)

2002

18. Adjusting for measurement error in explanatory variables
    United Kingdom Stata Users' Group Meetings 2002, Stata Users Group

2001

19. Adjusting for cross-over in a trial with survival end-points
    United Kingdom Stata Users' Group Meetings 2001, Stata Users Group

Journal Articles

2023

1. artbin: Extended sample size for randomized trials with binary outcomes
   Stata Journal, 2023, 23, (1), 24-52
2. artcat: Sample-size calculation for an ordered categorical outcome
   Stata Journal, 2023, 23, (1), 3-23

2021

3. A framework for prospective, adaptive meta-analysis (FAME) of aggregate data from randomised trials
   PLOS Medicine, 2021, 18, (5), 1-14

2018

4. A matrix†based method of moments for fitting multivariate network meta†analysis models with multiple outcomes and random inconsistency effects
   Biometrics, 2018, 74, (2), 548-556 View citations (1)
5. Allowing for informative missingness in aggregate data meta-analysis with continuous or binary outcomes: Extensions to metamiss
   Stata Journal, 2018, 18, (3), 716-740
6. The role of secondary outcomes in multivariate meta‐analysis
   Journal of the Royal Statistical Society Series C, 2018, 67, (5), 1177-1205 View citations (1)

2016

7. Linear Increments with Non-monotone Missing Data and Measurement Error
   Scandinavian Journal of Statistics, 2016, 43, (4), 996-1018

2015

8. Network meta-analysis
   Stata Journal, 2015, 15, (4), 951-985 View citations (6)

2014

9. A Guide to Handling Missing Data in Cost-Effectiveness Analysis Conducted Within Randomised Controlled Trials
   PharmacoEconomics, 2014, 32, (12), 1157-1170 View citations (33)
10. A Review of Published Analyses of Case-Cohort Studies and Recommendations for Future Reporting
    PLOS ONE, 2014, 9, (6), 1-6 View citations (1)
11. Inverse Probability Weighting with Missing Predictors of Treatment Assignment or Missingness
    Communications in Statistics - Theory and Methods, 2014, 43, (16), 3499-3515 View citations (1)

2012

12. Combining Multiple Imputation and Inverse-Probability Weighting
    Biometrics, 2012, 68, (1), 129-137 View citations (13)

2011

13. Multiple Imputation by Chained Equations (MICE): Implementation in Stata
    Journal of Statistical Software, 2011, 045, (i04) View citations (108)
14. Multivariate random-effects meta-regression: Updates to mvmeta
    Stata Journal, 2011, 11, (2), 255-270 View citations (6)
15. On-line Randomized Controlled Trial of an Internet Based Psychologically Enhanced Intervention for People with Hazardous Alcohol Consumption
    PLOS ONE, 2011, 6, (3), 1-8 View citations (4)

2010

16. Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables
    Computational Statistics & Data Analysis, 2010, 54, (10), 2267-2275 View citations (18)
17. How much can we learn about missing data?: an exploration of a clinical trial in psychiatry
    Journal of the Royal Statistical Society Series A, 2010, 173, (3), 593-612 View citations (1)
18. simsum: Analyses of simulation studies including Monte Carlo error
    Stata Journal, 2010, 10, (3), 369-385 View citations (9)

2009

19. Meta-analysis with missing data
    Stata Journal, 2009, 9, (1), 57-69
20. Multiple imputation of missing values: New features for mim
    Stata Journal, 2009, 9, (2), 252-264 View citations (28)
21. Multivariate random-effects meta-analysis
    Stata Journal, 2009, 9, (1), 40-56 View citations (8)

2008

22. Sample Size Calculations in Clinical Research
    Journal of the Royal Statistical Society Series A, 2008, 171, (3), 756-756

2007

23. Correction: Interpretation of Random Effects Meta-analysis in Decision Models
    Medical Decision Making, 2007, 27, (2), 212-214

2006

24. Using number of failed contact attempts to adjust for non‐ignorable non‐response
    Journal of the Royal Statistical Society Series A, 2006, 169, (3), 525-542 View citations (5)

2005

25. Predicting Cesarean Section and Uterine Rupture among Women Attempting Vaginal Birth after Prior Cesarean Section
    PLOS Medicine, 2005, 2, (9), 1- View citations (1)

2004

26. Compliance-adjusted intervention effects in survival data
    Stata Journal, 2004, 4, (3), 257-264
    See also Working Paper Compliance-adjusted intervention effects in survival data, United Kingdom Stata Users' Group Meetings 2004 (2004) (2004)

2002

27. strbee: Randomization-based efficacy estimator
    Stata Journal, 2002, 2, (2), 140-150 View citations (2)

1997

28. Can dietary interventions change diet and cardiovascular risk factors? A meta-analysis of randomized controlled trials
    American Journal of Public Health, 1997, 87, (9), 1415-1422 View citations (1)

1993

29. Gender differences in occupational mobility and structure of employment in the British Civil Service
    Social Science & Medicine, 1993, 37, (12), 1415-1425

Software Items

2024

1. ART: Stata module to compute sample size and power for complex randomised trial designs with binary or time-to-event outcomes
   Statistical Software Components, Boston College Department of Economics
2. ARTBIN: Stata module to calculate sample size or power for randomized trials with binary outcomes
   Statistical Software Components, Boston College Department of Economics

2023

3. ARTCAT: Stata module to calculate sample size or power for a two-group trial with ordered categorical outcome
   Statistical Software Components, Boston College Department of Economics
4. SIMSUM: Stata module to perform analyses of simulation studies including Monte Carlo error
   Statistical Software Components, Boston College Department of Economics

2022

5. METAMISS: Stata module to perform meta-analysis with missing data
   Statistical Software Components, Boston College Department of Economics
6. MVMETA: Stata module to perform multivariate random-effects meta-analysis
   Statistical Software Components, Boston College Department of Economics
7. STRBEE: Stata module to estimate a treatment effect adjusting for treatment switches
   Statistical Software Components, Boston College Department of Economics

2019

8. METAMISS2: Stata module accounting for missing outcome data in meta-analysis
   Statistical Software Components, Boston College Department of Economics

2018

9. NETWORK: Stata module to perform network meta-analysis
   Statistical Software Components, Boston College Department of Economics View citations (1)
10. RCTMISS: Stata module to analyse a randomised controlled trial (RCT) allowing for informatively missing outcome data
    Statistical Software Components, Boston College Department of Economics