Ian R. White
Names
| first: |
Ian |
| middle: |
R. |
| last: |
White |
Identifer
Contact
Affiliations
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University College London, Institute of Clinical Trials and Methodology
- http://www.ucl.ac.uk/ictm
- location: London, UK
Research profile
author of:
- Can dietary interventions change diet and cardiovascular risk factors? A meta-analysis of randomized controlled trials (RePEc:aph:ajpbhl:1997:87:9:1415-1422_3)
by Brunner, E. & White, I. & Thorogood, M. & Bristow, A. & Curle, D. & Marmot, M. - Combining Multiple Imputation and Inverse-Probability Weighting (RePEc:bla:biomet:v:68:y:2012:i:1:p:129-137)
by Shaun R. Seaman & Ian R. White & Andrew J. Copas & Leah Li - A matrix†based method of moments for fitting multivariate network meta†analysis models with multiple outcomes and random inconsistency effects (RePEc:bla:biomet:v:74:y:2018:i:2:p:548-556)
by Dan Jackson & Sylwia Bujkiewicz & Martin Law & Richard D. Riley & Ian R. White - Using number of failed contact attempts to adjust for non‐ignorable non‐response (RePEc:bla:jorssa:v:169:y:2006:i:3:p:525-542)
by Angela M. Wood & Ian R. White & Matthew Hotopf - Sample Size Calculations in Clinical Research (RePEc:bla:jorssa:v:171:y:2008:i:3:p:756-756)
by Ian White - How much can we learn about missing data?: an exploration of a clinical trial in psychiatry (RePEc:bla:jorssa:v:173:y:2010:i:3:p:593-612)
by Dan Jackson & Ian R. White & Morven Leese - The role of secondary outcomes in multivariate meta‐analysis (RePEc:bla:jorssc:v:67:y:2018:i:5:p:1177-1205)
by John B. Copas & Dan Jackson & Ian R. White & Richard D. Riley - Linear Increments with Non-monotone Missing Data and Measurement Error (RePEc:bla:scjsta:v:43:y:2016:i:4:p:996-1018)
by Shaun R. Seaman & Daniel Farewell & Ian R. White - METAMISS: Stata module to perform meta-analysis with missing data (RePEc:boc:bocode:s456869)
by Ian White & Julian Higgins - MVMETA: Stata module to perform multivariate random-effects meta-analysis (RePEc:boc:bocode:s456970)
by Ian White - SIMSUM: Stata module to perform analyses of simulation studies including Monte Carlo error (RePEc:boc:bocode:s457170)
by Ian White - ART: Stata module to compute sample size and power for complex randomised trial designs with binary or time-to-event outcomes (RePEc:boc:bocode:s458117)
by Abdel Babiker & Friederike Maria-Sophie Barthel & Babak Choodari-Oskooei & Patrick Royston & Ella Marley-Zagar & Ian White - RCTMISS: Stata module to analyse a randomised controlled trial (RCT) allowing for informatively missing outcome data (RePEc:boc:bocode:s458304)
by Ian White - NETWORK: Stata module to perform network meta-analysis (RePEc:boc:bocode:s458319)
by Ian White - STRBEE: Stata module to estimate a treatment effect adjusting for treatment switches (RePEc:boc:bocode:s458327)
by Ian White - METAMISS2: Stata module accounting for missing outcome data in meta-analysis (RePEc:boc:bocode:s458550)
by Anna Chaimani & Ian White - ARTCAT: Stata module to calculate sample size or power for a two-group trial with ordered categorical outcome (RePEc:boc:bocode:s459259)
by Ian R. White & Ella Marley-Zagar & Tim P. Morris & Mahesh K. B. Parmar & Patrick Royston & Abdel G. Babiker - ARTBIN: Stata module to calculate sample size or power for randomized trials with binary outcomes (RePEc:boc:bocode:s459282)
by Abdel Babiker & Friederike Maria-Sophie Barthel & Babak Choodari-Oskooei & Patrick Royston & Ella Marley-Zagar & Ian White - A suite of Stata programs for analysing simulation studies (RePEc:boc:lsug22:02)
by Ella Marley-Zagar & Ian R. White & Tim P. Morris - Multiply imputing informatively censored time-to-event data (RePEc:boc:lsug23:02)
by Ian R White & Patrick Royston - How to check a simulation study (RePEc:boc:lsug23:16)
by Ian R White & Tra My Pham & Matteo Quartagno & Tim P Morris - Adjusting for cross-over in a trial with survival end-points (RePEc:boc:usug01:3)
by Ian White & Abdel Babiker & Sarah Walker - Adjusting for measurement error in explanatory variables (RePEc:boc:usug02:12)
by Ian White & Chris Frost & Shoji Tokunaga - Compliance-adjusted intervention effects in survival data (RePEc:boc:usug04:15)
by Lois G. Kim & Ian R. White - Problems with infinite solutions in logistic regression (RePEc:boc:usug06:14)
by Ian White - metamiss: Meta-analysis with missing data (RePEc:boc:usug07:09)
by Ian White & Julian Higgins - Summarising the results of simulation studies (RePEc:boc:usug09:08)
by Ian White - An overview of meta-analysis in Stata (RePEc:boc:usug10:11)
by Jonathan Sterne & Roger Harbord & Ian White - Sensitivity analysis for randomized trials with missing outcome data (RePEc:boc:usug11:03)
by Ian White - Testing the performance of the two fold FCS algorithm for multiple imputation of longitudinal clinical records (RePEc:boc:usug11:11)
by Irene Petersen & Catherine Welch & Jonathan Bartlett & Ian White & Richard Morris & Louise Marston & Kate Walters & Irwin Nazareth & James Carpenter - A suite of Stata programs for network meta-analysis (RePEc:boc:usug13:20)
by Ian White - Handling treatment changes in randomized trials (RePEc:boc:usug14:13)
by Ian White - Using simulation studies to evaluate statistical methods in Stata: A tutorial (RePEc:boc:usug16:17)
by Tim P. Morris & Ian White & Michael Crowther - Bayesian network meta-analysis (RePEc:boc:usug19:23)
by Ian R. White - Sample size calculation for an ordered categorical outcome (RePEc:boc:usug20:08)
by Ian R. White & Ella Marley-Zagar & Tim Morris & Mahesh K. B. Parmar & Abdel G. Babiker - A unified Stata package for calculating sample sizes for trials with binary outcomes (artbin) (RePEc:boc:usug21:3)
by Ella Marley-Zagar & Ian R. White & Mahesh K. B. Parmar & Patrick Royston & Abdel G. Babiker - Covariate adjustment in a randomised trial with time-to-event outcomes (RePEc:boc:usug21:6)
by Ian R White & Tim P Morris & Deborah Ford - Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables (RePEc:eee:csdana:v:54:y:2010:i:10:p:2267-2275)
by White, Ian R. & Daniel, Rhian & Royston, Patrick - Gender differences in occupational mobility and structure of employment in the British Civil Service (RePEc:eee:socmed:v:37:y:1993:i:12:p:1415-1425)
by Roberts, Ron & Brunner, Eric & White, Ian & Marmot, Michael - Multiple Imputation by Chained Equations (MICE): Implementation in Stata (RePEc:jss:jstsof:v:045:i04)
by Royston, Patrick & White, Ian R. - How to check a simulation study (RePEc:osf:osfxxx:cbr72)
by Morris, Tim P & White, Ian R & Pham, Tra My & Quartagno, Matteo - Predicting Cesarean Section and Uterine Rupture among Women Attempting Vaginal Birth after Prior Cesarean Section (RePEc:plo:pmed00:0020252)
by Gordon C S Smith & Ian R White & Jill P Pell & Richard Dobbie - A framework for prospective, adaptive meta-analysis (FAME) of aggregate data from randomised trials (RePEc:plo:pmed00:1003629)
by Jayne F Tierney & David J Fisher & Claire L Vale & Sarah Burdett & Larysa H Rydzewska & Ewelina Rogozińska & Peter J Godolphin & Ian R White & Mahesh K B Parmar - On-line Randomized Controlled Trial of an Internet Based Psychologically Enhanced Intervention for People with Hazardous Alcohol Consumption (RePEc:plo:pone00:0014740)
by Paul Wallace & Elizabeth Murray & Jim McCambridge & Zarnie Khadjesari & Ian R White & Simon G Thompson & Eleftheria Kalaitzaki & Christine Godfrey & Stuart Linke - A Review of Published Analyses of Case-Cohort Studies and Recommendations for Future Reporting (RePEc:plo:pone00:0101176)
by Stephen J Sharp & Manon Poulaliou & Simon G Thompson & Ian R White & Angela M Wood - Correction: Interpretation of Random Effects Meta-analysis in Decision Models (RePEc:sae:medema:v:27:y:2007:i:2:p:212-214)
by N.J. Welton & I.R. White & G. Lu & J.P.T. Higgins & J. Hilden & A.E. Ades - A Guide to Handling Missing Data in Cost-Effectiveness Analysis Conducted Within Randomised Controlled Trials (RePEc:spr:pharme:v:32:y:2014:i:12:p:1157-1170)
by Rita Faria & Manuel Gomes & David Epstein & Ian White - Inverse Probability Weighting with Missing Predictors of Treatment Assignment or Missingness (RePEc:taf:lstaxx:v:43:y:2014:i:16:p:3499-3515)
by Shaun Seaman & Ian White - simsum: Analyses of simulation studies including Monte Carlo error (RePEc:tsj:stataj:v:10:y:2010:i:3:p:369-385)
by Ian R. White - Multivariate random-effects meta-regression: Updates to mvmeta (RePEc:tsj:stataj:v:11:y:2011:i:2:p:255-270)
by Ian R. White - Network meta-analysis (RePEc:tsj:stataj:v:15:y:2015:i:4:p:951-985)
by Ian R. White - strbee: Randomization-based efficacy estimator (RePEc:tsj:stataj:v:2:y:2002:i:2:p:140-150)
by Ian R. White & Sarah Walker & Abdel Babiker - artbin: Extended sample size for randomized trials with binary outcomes (RePEc:tsj:stataj:v:23:y:2023:i:1:p:24-52)
by Ella Marley-Zagar & Ian R. White & Patrick Royston & Friederike M.-S. Barthel & Mahesh K. B. Parmar & Abdel G. Babiker - artcat: Sample-size calculation for an ordered categorical outcome (RePEc:tsj:stataj:v:23:y:2023:i:1:p:3-23)
by Ian R. White & Ella Marley-Zagar & Tim P. Morris & Mahesh K. B. Parmar & Patrick Royston & Abdel G. Babiker - Compliance-adjusted intervention effects in survival data (RePEc:tsj:stataj:v:4:y:2004:i:3:p:257-264)
by Lois G. Kim & Ian R. White - Multivariate random-effects meta-analysis (RePEc:tsj:stataj:v:9:y:2009:i:1:p:40-56)
by Ian R. White - Meta-analysis with missing data (RePEc:tsj:stataj:v:9:y:2009:i:1:p:57-69)
by Ian R. White & Julian P. T. Higgins - Multiple imputation of missing values: New features for mim (RePEc:tsj:stataj:v:9:y:2009:i:2:p:252-264)
by Patrick Royston & John B. Carlin & Ian R. White - Allowing for informative missingness in aggregate data meta-analysis with continuous or binary outcomes: Extensions to metamiss (RePEc:tsj:stataj:y:18:y:2018:i:3:p:716-740)
by Anna Chaimani & Dimitris Mavridis & Julian P. T. Higgins & Georgia Salanti & Ian R. White