Ian R White

发表

Tuning multiple imputation by predictive mean matching and local residual draws

Patrick Royston, Tim P Morris, Ian R White, 2014, BMC Medical Research Methodology.

The estimation and use of predictions for the assessment of model performance using large samples with multiply imputed data

Patrick Royston, Ian R White, Angela M Wood, 2015, Biometrical journal. Biometrische Zeitschrift.

Adjustment for treatment changes in epilepsy trials: A comparison of causal methods for time-to-event outcomes

Ian R White, Susanna Dodd, Paula Williamson, 2017, Statistical methods in medical research.

A design-by-treatment interaction model for network meta-analysis with random inconsistency effects

Dan Jackson, Stephen Rice, Ian R White, 2014, Statistics in medicine.

Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses

Dan Jackson, Ian R White, Simon G Thompson, 2009, Statistics in medicine.

Dealing with missing outcome data in meta‐analysis

Dimitris Mavridis, Ian R White, I. White, 2019, Research synthesis methods.

Evaluation of two-fold fully conditional specification multiple imputation for longitudinal electronic health record data

Ian R White, Irwin Nazareth, Louise Marston, 2014, Statistics in medicine.

Sensitivity analysis after multiple imputation under missing at random: a weighting approach

James R Carpenter, Michael G Kenward, Ian R White, 2007, Statistical methods in medical research.

On the use of the not‐at‐random fully conditional specification (NARFCS) procedure in practice

Ian R White, Jon Heron, Margarita Moreno-Betancur, 2018, Statistics in medicine.

When should meta‐analysis avoid making hidden normality assumptions?

Dan Jackson, Ian R White, I. White, 2018, Biometrical journal. Biometrische Zeitschrift.

Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression‡

Dan Jackson, Ian R White, Julian PT Higgins, 2012, Research synthesis methods.

Multiple imputation for handling systematically missing confounders in meta‐analysis of individual participant data

Matthieu Resche-Rigon, Ian R White, Simon G Thompson, 2013, Statistics in medicine.

Borrowing of strength and study weights in multivariate and network meta-analysis

Richard D Riley, Dan Jackson, Ian R White, 2017, Statistical methods in medical research.

Gaining power and precision by using model–based weights in the analysis of late stage cancer trials with substantial treatment switching

Jack Bowden, Xin Huang, Ian R White, 2015, Statistics in medicine.

Canonical Causal Diagrams to Guide the Treatment of Missing Data in Epidemiologic Studies

John B Carlin, Julie A Simpson, Katherine J Lee, 2018, American journal of epidemiology.

Automated methods to test connectedness and quantify indirectness of evidence in network meta‐analysis

Nicky J Welton, Howard Thom, Ian R White, 2018, Research synthesis methods.

Analysis of cluster randomized cross‐over trial data: a comparison of methods

Tim Croudace, Ian R White, Rebecca M Turner, 2007, Statistics in medicine.

Combining multiple imputation and meta-analysis with individual participant data

Stephen Burgess, Matthieu Resche-Rigon, Ian R White, 2013, Statistics in medicine.

Relaxing the independent censoring assumption in the Cox proportional hazards model using multiple imputation

James Carpenter, Dan Jackson, Ian R White, 2014, Statistics in medicine.

Identifying influential observations in Bayesian models by using Markov chain Monte Carlo

James Carpenter, Dan Jackson, Ian R White, 2012, Statistics in medicine.

Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis

Karel G M Moons, James R Carpenter, A Rogier T Donders, 2012, Canadian Medical Association Journal.

Identifying inconsistency in network meta‐analysis: Is the net heat plot a reliable method?

James R Carpenter, Ian R White, Suzanne C Freeman, 2019, Statistics in medicine.

Combining Multiple Imputation and Inverse-Probability Weighting

Andrew J Copas, Ian R White, Shaun R Seaman, 2012, Biometrics.

Using full‐cohort data in nested case–control and case–cohort studies by multiple imputation

Ian R White, Ruth H Keogh, I. White, 2013, Statistics in medicine.

Using simulation studies to evaluate statistical methods

Michael J Crowther, Tim P Morris, Ian R White, 2017, Statistics in medicine.

Allowing for uncertainty due to missing data in meta‐analysis—Part 1: Two‐stage methods

Ian R White, Angela M Wood, Julian P T Higgins, 2008, Statistics in medicine.

How should variable selection be performed with multiply imputed data?

Patrick Royston, Ian R White, Angela M Wood, 2008, Statistics in medicine.

Multiple imputation using chained equations: Issues and guidance for practice

Patrick Royston, Ian R White, Angela M Wood, 2011, Statistics in medicine.

RoB 2: a revised tool for assessing risk of bias in randomised trials

Natalie S Blencowe, Christopher J Cates, Isabelle Boutron, 2019, BMJ.

Incorporating external evidence on between‐trial heterogeneity in network meta‐analysis

Dan Jackson, Ian R White, Rebecca M Turner, 2018, Statistics in medicine.

The design‐by‐treatment interaction model: a unifying framework for modelling loop inconsistency in network meta‐analysis

Dan Jackson, Ian R White, Paul Boddington, 2015, Research synthesis methods.

Allowing for uncertainty due to missing continuous outcome data in pairwise and network meta‐analysis

Dimitris Mavridis, Andrea Cipriani, Georgia Salanti, 2015, Statistics in medicine.

A comparison of seven random‐effects models for meta‐analyses that estimate the summary odds ratio

Theo Stijnen, Wolfgang Viechtbauer, Dan Jackson, 2018, Statistics in medicine.

Pattern mixture models for the analysis of repeated attempt designs

Wei Feng, Michael J Daniels, Dan Jackson, 2015, Biometrics.

Multivariate meta-analysis: Potential and promise

Dan Jackson, Ian R White, Richard Riley, 2011, Statistics in medicine.

Allowing for uncertainty due to missing data in meta‐analysis—Part 2: Hierarchical models

Nicky J Welton, A E Ades, Ian R White, 2008, Statistics in medicine.

rpsftm: An R Package for Rank Preserving Structural Failure Time Models

Ian R White, Simon Bond, Annabel Allison, 2017, R J..

A matrix‐based method of moments for fitting multivariate network meta‐analysis models with multiple outcomes and random inconsistency effects

Richard D Riley, Sylwia Bujkiewicz, Dan Jackson, 2017, Biometrics.

A general method for elicitation, imputation, and sensitivity analysis for incomplete repeated binary data

Ian R White, Shaun R Seaman, Daniel Tompsett, 2020, Statistics in medicine.

Allowing for uncertainty due to missing and LOCF imputed outcomes in meta‐analysis

Dimitris Mavridis, Andrea Cipriani, Anna Chaimani, 2018, Statistics in medicine.

The dark side of the force: Multiplicity issues in network meta‐analysis and how to address them

Orestis Efthimiou, Ian R White, I. White, 2019, Research synthesis methods.

On the issue of ‘multiple’ first failures in competing risks analysis

Val Gebski, Ian R White, David Machin, 2002, Statistics in medicine.

Joint modelling rationale for chained equations

James R Carpenter, Jonathan AC Sterne, Ian R White, 2014, BMC Medical Research Methodology.

Multiple imputation for an incomplete covariate that is a ratio

Patrick Royston, Tim P Morris, Ian R White, 2013, Statistics in medicine.

How much can we learn about missing data?: an exploration of a clinical trial in psychiatry

Dan Jackson, Ian R White, Morven Leese, 2010, Journal of the Royal Statistical Society. Series A,.

Should multiple imputation be the method of choice for handling missing data in randomized trials?

Ian R White, Thomas R Sullivan, Katherine J Lee, 2016, Statistical methods in medical research.

Adjusting for partially missing baseline measurements in randomized trials

Ian R White, Simon G Thompson, I. White, 2005, Statistics in medicine.

A comparison of arm‐based and contrast‐based models for network meta‐analysis

Georgia Salanti, Ian R White, Rebecca M Turner, 2019, Statistics in medicine.

A matrix-based method of moments for fitting the multivariate random effects model for meta-analysis and meta-regression

Richard D Riley, Dan Jackson, Ian R White, 2013, Biometrical journal. Biometrische Zeitschrift.

Standardized mean differences in individually-randomized and cluster-randomized trials, with applications to meta-analysis

Ian R White, I. White, James Thomas, 2005, Clinical trials.

Derivation and assessment of risk prediction models using case-cohort data

Jean Sanderson, Ian R White, Simon G Thompson, 2013, BMC Medical Research Methodology.

The use of regression models for medians when observed outcomes may be modified by interventions

Ian R White, James Carpenter, Ian R. White, 2003, Statistics in medicine.

An exploration of the missing data mechanism in an Internet based smoking cessation trial

Dan Jackson, Ian R White, Stephen Sutton, 2012, BMC Medical Research Methodology.

Linear inference for mixed treatment comparison meta‐analysis: a two‐stage approach

Nicky J Welton, Julian P T Higgins, A E Ades, 2012, Research Synthesis Methods.

Choosing sensitivity analyses for randomised trials: principles

Tim P Morris, Ian R White, Brennan C Kahan, 2014, BMC Medical Research Methodology.

Meta-analysis of skewed data: Combining results reported on log-transformed or raw scales

Julian P T Higgins, Ian R White, Judith Anzures-Cabrera, 2008, Statistics in medicine.

Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1·25 million people

Harry Hemingway, Spiros C. Denaxas, Liam Smeeth, 2014, The Lancet.

Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals

Ian R White, Angela M Wood, Simon G Thompson, 2004, Clinical trials.

Screening for fetal growth restriction with universal third trimester ultrasonography in nulliparous women in the Pregnancy Outcome Prediction (POP) study: a prospective cohort study

Ian R White, Dharmintra Pasupathy, I. White, 2015, The Lancet.

Impact of Length or Relevance of Questionnaires on Attrition in Online Trials: Randomized Controlled Trial

Zarnie Khadjesari, Stuart Linke, Elizabeth Murray, 2011, Journal of medical Internet research.

Randomised controlled trial of acute mental health care by a crisis resolution team: the north Islington crisis study

Paul Bebbington, Stephen Pilling, Ian R White, 2005, BMJ : British Medical Journal.

Second-trimester maternal serum levels of alpha-fetoprotein and the subsequent risk of sudden infant death syndrome.

Ian R White, Angela M Wood, Jill P Pell, 2004, New England Journal of Medicine.

Some consequences of assuming simple patterns for the treatment effect over time in a linear mixed model

Michael G Kenward, Ian R White, M. Kenward, 2013, Statistics in medicine.

Effectiveness of Short Message Service Text-Based Smoking Cessation Intervention Among University Students: A Randomized Clinical Trial.

Marcus Bendtsen, Ian R White, Jim McCambridge, 2016, JAMA internal medicine.

Combined logistic and Bayesian modeling of cesarean section risk.

Ian R White, Jill P Pell, J. Pell, 2004, American journal of obstetrics and gynecology.

Comparison of imputation and modelling methods in the analysis of a physical activity trial with missing outcomes.

Ian R White, Angela M Wood, James Carpenter, 2004, International journal of epidemiology.

Analyses of Sensitivity to the Missing-at-Random Assumption Using Multiple Imputation With Delta Adjustment: Application to a Tuberculosis/HIV Prevalence Survey With Incomplete HIV-Status Data

Ian R White, Finbarr P Leacy, Finbarr P. Leacy, 2017, American journal of epidemiology.

Impact and Costs of Incentives to Reduce Attrition in Online Trials: Two Randomized Controlled Trials

Zarnie Khadjesari, Elizabeth Murray, Paul Wallace, 2011, Journal of medical Internet research.

Ian R White interventions Mediation and moderation of treatment effects in randomised controlled trials of complex

Richard Emsley, Graham Dunn, Ian R White, 2010 .

Multiple imputation by chained equations for systematically and sporadically missing multilevel data

Matthieu Resche-Rigon, Ian R White, I. White, 2018, Statistical methods in medical research.

Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model

James R Carpenter, Ian R White, Jonathan W Bartlett, 2012, Statistical methods in medical research.

Lipoprotein(a) concentration and the risk of coronary heart disease, stroke, and nonvascular mortality.

Stephen Kaptoge, Ian R White, Simon G Thompson, 2009, JAMA.

Eliciting and using expert opinions about influence of patient characteristics on treatment effects: a Bayesian analysis of the CHARM trials

Ian R White, Stuart J Pocock, Duolao Wang, 2005, Statistics in medicine.

A modelling strategy for the analysis of clinical trials with partly missing longitudinal data

Tim Croudace, Ian R White, Simon G Thompson, 2003, International journal of methods in psychiatric research.

Imputation methods for missing outcome data in meta-analysis of clinical trials

Ian R White, Angela M Wood, I. White, 2008, Clinical trials.

Commentary: dealing with measurement error: multiple imputation or regression calibration?

Ian R White, I. White, 2006, International journal of epidemiology.

Nonadherence to treatment protocol in published randomised controlled trials: a review

Ian R White, Susanna Dodd, Paula Williamson, 2012, Trials.

Linear inference for mixed treatment comparison meta‐analysis: A two‐stage approach

Nicky J Welton, Julian P T Higgins, A E Ades, 2011, Research synthesis methods.

Variance reduction in randomised trials by inverse probability weighting using the propensity score

Andrew Forbes, Ian R White, I. White, 2013, Statistics in medicine.

Bayesian synthesis of epidemiological evidence with different combinations of exposure groups: application to a gene–gene–environment interaction

Julian P T Higgins, Georgia Salanti, Ian R White, 2006, Statistics in medicine.

Using surrogate biomarkers to improve measurement error models in nutritional epidemiology

Ian R White, Ruth H Keogh, I. White, 2013, Statistics in medicine.

Multiple imputation of missing covariates with non-linear effects and interactions: an evaluation of statistical methods

Ian R White, Jonathan W Bartlett, Shaun R Seaman, 2012, BMC Medical Research Methodology.

Should baseline be a covariate or dependent variable in analyses of change from baseline in clinical trials? by G. F. Liu, K. Lu, R. Mogg, M. Mallick and D. V. Mehrotra, Statistics in Medicine 2009; 28:2509–2530

James R Carpenter, Michael G Kenward, Ian R White, 2010, Statistics in medicine.

Does the variation in the socioeconomic characteristics of an area affect mortality?

Yoav Ben-Shlomo, Ian R White, Michael Marmot, 1996, BMJ.

Strategy for intention to treat analysis in randomised trials with missing outcome data

Ian R White, James Carpenter, Stuart J Pocock, 2011, BMJ : British Medical Journal.

Multivariate and network meta-analysis of multiple outcomes and multiple treatments: rationale, concepts, and examples

Richard D Riley, Danielle L Burke, Georgia Salanti, 2017, British Medical Journal.