Browse by UCL people
Group by: Type | Date
Number of items: 68.
2024
Sydes, Matthew R;
Murray, Macey L;
Ahmed, Saiam;
Apostolidou, Sophia;
Bliss, Judith M;
Bloomfield, Claire;
Cannings-John, Rebecca;
... Love, Sharon B; + view all
(2024)
Getting our ducks in a row: The need for data utility comparisons of healthcare systems data for clinical trials.
Contemporary Clinical Trials
, 141
, Article 107514. 10.1016/j.cct.2024.107514.
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2023
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Free, Caroline;
Palmer, Melissa J;
Potter, Kimberley;
McCarthy, Ona L;
Jerome, Lauren;
Berendes, Sima;
Gubijev, Anasztazia;
... Devries, Karen; + view all
(2023)
Behavioural intervention to reduce sexually transmitted infections in people aged 16–24 years in the UK: the safetxt RCT.
Public Health Research
, 11
(1)
pp. 1-96.
10.3310/dane8826.
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Mehta, AR;
Carpenter, JR;
Nicholas, JM;
Chataway, J;
Virgo, B;
Parmar, MKB;
Chandran, S;
(2023)
The role of placebo control in clinical trials for neurodegenerative diseases.
[Letter].
Nature Medicine
10.1038/d41591-023-00080-0.
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2022
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Cro, S;
Kahan, BC;
Rehal, S;
Chis Ster, A;
Carpenter, JR;
White, IR;
Cornelius, VR;
(2022)
Evaluating how clear the questions being investigated in randomised trials are: systematic review of estimands.
BMJ
, 378
, Article e070146. 10.1136/bmj-2022-070146.
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Kahan, Brennan C;
Morris, Tim P;
Goulão, Beatriz;
Carpenter, James;
(2022)
Estimands for factorial trials.
Statistics in Medicine
10.1002/sim.9510.
(In press).
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Quartagno, Matteo;
Carpenter, James R;
(2022)
Substantive model compatible multilevel multiple imputation: A joint modeling approach.
Statistics in Medicine
, 41
(25)
pp. 5000-5015.
10.1002/sim.9549.
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2021
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Bazo-Alvarez, JC;
Morris, TP;
Carpenter, JR;
Petersen, I;
(2021)
Current Practices in Missing Data Handling for Interrupted Time Series Studies Performed on Individual-Level Data: A Scoping Review in Health Research.
Clinical Epidemiology
, 13
pp. 603-613.
10.2147/CLEP.S314020.
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Freeman, SC;
Fisher, D;
White, IR;
Carpenter, JR;
(2021)
Authors' reply to "Comments on Identifying inconsistency in network meta‐analysis: Is the net heat plot a reliable method?".
Statistics in Medicine
, 40
(18)
pp. 4164-4165.
10.1002/sim.9073.
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Kahan, BC;
Morris, TP;
White, IR;
Carpenter, J;
Cro, S;
(2021)
Estimands in published protocols of randomised trials: urgent improvement needed.
Trials
, 22
(1)
, Article 686. 10.1186/s13063-021-05644-4.
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Macnair, A;
Love, SB;
Murray, ML;
Gilbert, DC;
Parmar, MKB;
Denwood, T;
Carpenter, J;
... Cafferty, FH; + view all
(2021)
Accessing routinely collected health data to improve clinical trials: recent experience of access.
Trials
, 22
, Article 340. 10.1186/s13063-021-05295-5.
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Mason, AJ;
Gomes, M;
Carpenter, J;
Grieve, R;
(2021)
Flexible Bayesian longitudinal models for cost-effectiveness analyses with informative missing data.
Health Economics
, 30
(12)
pp. 3138-3158.
10.1002/hec.4408.
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Mirza, A;
Yorke-Edwards, V;
Lensen, S;
Murray, ML;
Diaz-Montana, C;
Carpenter, J;
Sydes, MR;
(2021)
Why are feasibility studies accessing routinely collected health data? A systematic review.
F1000Research
, 10
, Article 815. 10.12688/f1000research.52486.1.
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2020
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Atkinson, A;
Zwahlen, M;
Barger, D;
d'Arminio Monforte, A;
De Wit, S;
Ghosn, J;
Girardi, E;
... Opportunistic Infections Project Working Group of the Collaborat, .; + view all
(2020)
Withholding primary PcP prophylaxis in virologically suppressed HIV patients: An emulation of a pragmatic trial in COHERE.
Clinical Infectious Diseases
10.1093/cid/ciaa615.
(In press).
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Bazo-Alvarez, JC;
Morris, TP;
Pham, TM;
Carpenter, JR;
Petersen, I;
(2020)
Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data.
Clinical Epidemiology
, 12
pp. 1045-1057.
10.2147/clep.s266428.
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Cro, S;
Morris, TP;
Kahan, BC;
Cornelius, VR;
Carpenter, JR;
(2020)
A four-step strategy for handling missing outcome data in randomised trials affected by a pandemic.
BMC Medical Research Methodology
, 20
(1)
, Article 208. 10.1186/s12874-020-01089-6.
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Cro, S;
Morris, TP;
Kenward, MG;
Carpenter, JR;
(2020)
Sensitivity analysis for clinical trials with missing continuous outcome data using controlled multiple imputation: A practical guide.
Statistics in Medicine
10.1002/sim.8569.
(In press).
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Free, C;
McCarthy, OL;
Palmer, MJ;
Knight, R;
Edwards, P;
French, R;
Baraitser, P;
... Potter, K; + view all
(2020)
Safetxt: a safer sex intervention delivered by mobile phone messaging on sexually transmitted infections (STI) among young people in the UK - protocol for a randomised controlled trial.
BMJ Open
, 10
(3)
, Article e031635. 10.1136/bmjopen-2019-031635.
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Gomes, M;
Kenward, MG;
Grieve, R;
Carpenter, J;
(2020)
Estimating treatment effects under untestable assumptions with nonignorable missing data.
Statistics in Medicine
, 39
(11)
pp. 1658-1674.
10.1002/sim.8504.
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Kahan, BC;
Morris, TP;
White, IR;
Tweed, CD;
Cro, S;
Dahly, D;
Pham, TM;
... Carpenter, JR; + view all
(2020)
Treatment estimands in clinical trials of patients hospitalised for COVID-19: ensuring trials ask the right questions.
BMC Medicine
, 18
(1)
, Article 286. 10.1186/s12916-020-01737-0.
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Lensen, S;
Macnair, A;
Love, SB;
Yorke-Edwards, V;
Noor, NM;
Martyn, M;
Blenkinsop, A;
... Sydes, MR; + view all
(2020)
Access to routinely collected health data for clinical trials – review of successful data requests to UK registries.
Trials
, 21
, Article 398. 10.1186/s13063-020-04329-8.
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Quartagno, M;
Carpenter, JR;
Walker, AS;
Clements, M;
Parmar, MKB;
(2020)
The DURATIONS randomised trial design: Estimation targets, analysis methods and operating characteristics.
Clinical Trials
10.1177/1740774520944377.
(In press).
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2019
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Bazo-Alvarez, JC;
Morris, TP;
Carpenter, JR;
Hayes, JF;
Petersen, I;
(2019)
Effects of long-term antipsychotics treatment on body weight: A population-based cohort study.
Journal of Psychopharmacology
10.1177/0269881119885918.
(In press).
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Blackshaw, H;
Vennik, J;
Philpott, C;
Thomas, M;
Eyles, C;
Carpenter, J;
Clarke, CS;
... Hopkins, C; + view all
(2019)
Expert panel process to optimise the design of a randomised controlled trial in chronic rhinosinusitis (the MACRO programme).
Trials
, 20
, Article 230. 10.1186/s13063-019-3318-3.
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Cro, S;
Carpenter, JR;
Kenward, MG;
(2019)
Information‐anchored sensitivity analysis: theory and application.
Journal of the Royal Statistical Society: Series A (Statistics in Society)
, 182
(2)
pp. 623-645.
10.1111/rssa.12423.
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Freeman, SC;
Fisher, D;
White, IR;
Auperin, A;
Carpenter, JR;
(2019)
Identifying inconsistency in network meta-analysis: Is the net heat plot a reliable method?
Statistics in Medicine
, 38
(29)
pp. 5547-5564.
10.1002/sim.8383.
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Hopkins, C;
Williamson, E;
Morris, S;
Clarke, CS;
Thomas, M;
Evans, H;
Little, P;
... MACRO programme team; + view all
(2019)
Antibiotic usage in chronic rhinosinusitis: analysis of national primary care electronic health records.
Rhinology
, 57
(6)
pp. 420-429.
10.4193/Rhin19.136.
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Leurent, B;
Gomes, M;
Cro, S;
Wiles, N;
Carpenter, JR;
(2019)
Reference-based multiple imputation for missing data sensitivity analyses in trial-based cost-effectiveness analysis.
Health Economics
, 29
(2)
pp. 171-184.
10.1002/hec.3963.
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Leurent, B;
Gomes, M;
Faria, R;
Morris, S;
Grieve, R;
Carpenter, JR;
(2019)
Correction to: Sensitivity Analysis for Not-at-Random Missing Data in Trial-Based Cost-Effectiveness Analysis: A Tutorial.
PharmacoEconomics
10.1007/s40273-019-00776-7.
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Leyrat, C;
Seaman, SR;
White, IR;
Douglas, I;
Smeeth, L;
Kim, J;
Resche-Rigon, M;
... Williamson, EJ; + view all
(2019)
Propensity score analysis with partially observed covariates: How should multiple imputation be used?
Statistical Methods in Medical Research
, 28
(1)
pp. 3-19.
10.1177/0962280217713032.
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Petersen, I;
Welch, CA;
Nazareth, I;
Walters, K;
Marston, L;
Morris, RW;
Carpenter, JR;
... Pham, TM; + view all
(2019)
Health indicator recording in UK primary care electronic health records: key implications for handling missing data.
Clinical Epidemiology
, 2019
(11)
pp. 157-167.
10.2147/CLEP.S191437.
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Pham, TM;
Carpenter, JR;
Morris, TP;
Sharma, M;
Petersen, I;
(2019)
Ethnic Differences in the Prevalence of Type 2 Diabetes Diagnoses in the UK: Cross-Sectional Analysis of the Health Improvement Network Primary Care Database.
Clinical Epidemiology
pp. 1081-1088.
10.2147/clep.s227621.
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Pham, TM;
Carpenter, JR;
Morris, TP;
Wood, AM;
Petersen, I;
(2019)
Population-calibrated Multiple Imputation for a Binary/categorical Covariate in Categorical Regression Models.
Statistics in Medicine
, 38
(5)
pp. 792-808.
10.1002/sim.8004.
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Philpott, C;
Le Conte, S;
Beard, D;
Cook, J;
Sones, W;
Morris, S;
Clarke, CS;
... MACRO programme team; + view all
(2019)
Clarithromycin and endoscopic sinus surgery for adults with chronic rhinosinusitis with and without nasal polyps: study protocol for the MACRO randomised controlled trial.
Trials
, 20
, Article 246. 10.1186/s13063-019-3314-7.
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Quartagno, M;
Carpenter, JR;
(2019)
Multiple imputation for discrete data: Evaluation of the joint latent normal model.
Biometrical Journal
, 61
(4)
pp. 1003-1019.
10.1002/bimj.201800222.
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Quartagno, M;
De Stavola, B;
Emsley, R;
Carpenter, JR;
(2019)
Secondary re-analysis of the FEAST trial.
[Letter].
The Lancet Respiratory Medicine
, 7
(10)
e30-e30.
10.1016/S2213-2600(19)30270-X.
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Quartagno, M;
De Stavola, B;
Emsley, R;
Carpenter, JR;
(2019)
Effects of saline or albumin fluid bolus in resuscitation: major statistical flaws in the re-analysis of the FEAST trial.
The Lancet Respiratory Medicine
, 7
(7)
pp. 581-593.
10.1016/S2213-2600(19)30114-6.
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Quartagno, M;
Goldstein, H;
Carpenter, JR;
(2019)
Multiple Imputation with survey weights: a multilevel approach.
Journal of Survey Statistics and Methodology
, Article smz036. 10.1093/jssam/smz036.
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Quartagno, M;
Grund, S;
Carpenter, J;
(2019)
jomo: A Flexible Package for Two-level Joint Modelling Multiple Imputation.
R Journal
, 9
(1)
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Williamson, E;
Denaxas, S;
Morris, S;
Clarke, C;
Thomas, M;
EVANS, H;
Direk, K;
... Carpenter, J; + view all
(2019)
Risk of mortality and cardiovascular events following macrolide prescription in chronic rhinosinusitis patients: a cohort study using linked primary care electronic health records.
Rhinology
, 57
(4)
pp. 252-260.
10.4193/Rhin18.237.
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2018
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Freeman, SC;
Fisher, D;
Tierney, JF;
Carpenter, JR;
(2018)
A framework for identifying treatment-covariate interactions in individual participant data network meta-analysis.
Research Synthesis Methods
, 9
(3)
pp. 393-407.
10.1002/jrsm.1300.
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Goldstein, H;
Carpenter, J;
Kenward, MG;
(2018)
Bayesian models for weighted data with missing values: a bootstrap approach.
Journal of the Royal Statistical Society: Series C (Applied Statistics)
, 67
(4)
pp. 1071-1081.
10.1111/rssc.12259.
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Leurent, B;
Gomes, M;
Carpenter, JR;
(2018)
Missing data in trial-based cost-effectiveness analysis: An incomplete journey.
Health Economics
, 27
(6)
pp. 1024-1040.
10.1002/hec.3654.
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Leurent, B;
Gomes, M;
Faria, R;
Morris, S;
Grieve, R;
Carpenter, JR;
(2018)
Sensitivity Analysis for Not-at-Random Missing Data in Trial-Based Cost-Effectiveness Analysis: A Tutorial.
Pharmacoeconomics
10.1007/s40273-018-0650-5.
(In press).
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Mason, AJ;
Gomes, M;
Grieve, R;
Carpenter, JR;
(2018)
A Bayesian framework for health economic evaluation in studies with missing data.
Health Econ
10.1002/hec.3793.
(In press).
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Morris, TP;
Fisher, DJ;
Kenward, MG;
Carpenter, JR;
(2018)
Meta-analysis of Gaussian individual patient data: two-stage or not two-stage?
Statistics in Medicine
, 37
(9)
pp. 1419-1438.
10.1002/sim.7589.
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Quartagno, M;
Walker, AS;
Carpenter, J;
Phillips, P;
Parmar, M;
(2018)
Rethinking non-inferiority: a practical trial design for optimising treatment duration.
Clinical Trials
, 15
(5)
pp. 477-488.
10.1177/1740774518778027.
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Vale, C;
Fisher, D;
Tierney, J;
White, I;
Sydes, M;
Carpenter, J;
(2018)
Re: Christopher JD Wallis, Zachary Klaassen, Bimal Bhindi, et al. Comparison of Abiraterone Acetate and Docetaxel with Androgen Deprivation Therapy in High-risk and Metastatic Hormone-naive Prostate Cancer: A Systematic Review and Network Meta-analysis.
European Urology
, 73
(3)
E49-E50.
10.1016/j.eururo.2017.11.027.
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Vale, CL;
Fisher, D;
White, I;
Carpenter, J;
Burdett, S;
Clarke, N;
Fizazi, K;
... Tierney, J; + view all
(2018)
What is the optimal systemic treatment of men with metastatic, hormone-naive prostate cancer? A STOPCAP systematic review and network meta-analysis.
Annals of Oncology
, 29
(5)
pp. 1249-1257.
10.1093/annonc/mdy071.
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White, IR;
Audigier, V;
Jolani, S;
Debray, T;
Quartagno, M;
Carpenter, J;
van Buuren, S;
(2018)
Multiple imputation for multilevel data with continuous and binary variables.
Statistical Science
, 33
(2)
pp. 160-183.
10.1214/18-STS646.
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White, IR;
Carpenter, J;
Horton, NJ;
(2018)
A mean score method for sensitivity analysis to departures from the missing at random assumption in randomised trials.
Statistica Sinica
, 28
(4)
10.5705/ss.202016.0308.
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2017
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Falcaro, M;
Carpenter, JR;
(2017)
Correcting bias due to missing stage data in the non-parametric estimation of stage-specific net survival for colorectal cancer using multiple imputation.
Cancer Epidemiology
, 48
pp. 16-21.
10.1016/j.canep.2017.02.005.
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Fisher, DJ;
Carpenter, JR;
Morris, TP;
Freeman, SC;
Tierney, JF;
(2017)
Meta-analytical methods to identify who benefits most from treatments: daft, deluded, or deft approach?
BMJ
, 356
, Article j573. 10.1136/bmj.j573.
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Freeman, SC;
(2017)
One-step individual participant data network meta-analysis of time-to-event data.
Doctoral thesis , UCL (University College London).
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Freeman, SC;
Carpenter, JR;
(2017)
Bayesian one-step IPD network meta-analysis of time-to-event data using Royston-Parmar models.
Research Synthesis Methods
10.1002/jrsm.1253.
(In press).
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Mason, AJ;
Gomes, M;
Grieve, R;
Carpenter, J;
(2017)
Rejoinder.
Clinical Trials
, 14
(4)
pp. 370-371.
10.1177/1740774517711444.
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Mason, AJ;
Gomes, M;
Grieve, R;
Ulug, P;
Powell, JT;
Carpenter, J;
(2017)
Development of a practical approach to expert elicitation for randomised controlled trials with missing health outcomes: Application to the IMPROVE trial.
Clinical Trials
, 14
(4)
pp. 357-367.
10.1177/1740774517711442.
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Reiss, K;
Andersen, K;
Barnard, S;
Ngo, TD;
Biswas, K;
Smith, C;
Carpenter, J;
... Pearson, E; + view all
(2017)
Using automated voice messages linked to telephone counselling to increase post-menstrual regulation contraceptive uptake and continuation in Bangladesh: study protocol for a randomised controlled trial.
BMC Public Health
, 17
, Article 769. 10.1186/s12889-017-4703-z.
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Smuk, M;
Carpenter, JR;
Morris, TP;
(2017)
What impact do assumptions about missing data have on conclusions? A practical sensitivity analysis for a cancer survival registry.
BMC Medical Research Methodology
, 17
10.1186/s12874-017-0301-0.
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2016
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Cro, S;
Morris, TP;
Kenward, MG;
Carpenter, JR;
(2016)
Reference based sensitivity analysis for longitudinal trials with protocol deviation via multiple imputation.
The Stata Journal
, 16
(2)
pp. 443-463.
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Quartagno, M;
Carpenter, JR;
(2016)
Multiple imputation for IPD meta-analysis: allowing for heterogeneity and studies with missing covariates.
Statistics in Medicine
, 35
(17)
pp. 2938-2954.
10.1002/sim.6837.
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Rehal, S;
Morris, TP;
Fielding, K;
Carpenter, JR;
Phillips, PPJ;
(2016)
Non-inferiority trials: are they inferior? A systematic review of reporting in major medical journals.
BMJ Open
, 6
(10)
, Article e012594. 10.1136/bmjopen-2016-012594.
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Stirrup, OT;
Babiker, AG;
Carpenter, JR;
Copas, AJ;
(2016)
Fractional Brownian motion and multivariate-t models for longitudinal biomedical data, with application to CD4 counts in HIV-patients.
Statistics in Medicine
, 35
(9)
pp. 1514-1532.
10.1002/sim.6788.
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2015
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Morris, TP;
White, IR;
Carpenter, JR;
Stanworth, SJ;
Royston, P;
(2015)
Combining fractional polynomial model building with multiple imputation.
Statistics in Medicine
, 34
(25)
pp. 3298-3317.
10.1002/sim.6553.
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2014
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Hughes, RA;
White, IR;
Seaman, SR;
Carpenter, JR;
Tilling, K;
Sterne, JAC;
(2014)
Joint modelling rationale for chained equations.
BMC Medical Research Methodology
, 14
(28)
10.1186/1471-2288-14-28.
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Marston, L;
Carpenter, JR;
Walters, KR;
Morris, RW;
Nazareth, I;
White, IR;
Petersen, I;
(2014)
Smoker, ex-smoker or non-smoker? The validity of routinely recorded smoking status in UK primary care: a cross-sectional study.
BMJ Open
, 4
(4)
, Article 004958. 10.1136/bmjopen-2014-004958.
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Shah, AD;
Bartlett, JW;
Carpenter, J;
Nicholas, O;
Hemingway, H;
(2014)
Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study.
AMERICAN JOURNAL OF EPIDEMIOLOGY
, 179
(6)
764 - 774.
10.1093/aje/kwt312.
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Welch, CA;
Petersen, I;
Bartlett, JW;
White, IR;
Marston, L;
Morris, RW;
Nazareth, I;
... Carpenter, J; + view all
(2014)
Evaluation of two-fold fully conditional specification multiple imputation for longitudinal electronic health record data.
Stat Med
, 33
(21)
pp. 3725-3737.
10.1002/sim.6184.
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2013
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Carpenter, R;
McGarvey, C;
Mitchell, EA;
Tappin, DM;
Vennemann, MM;
Smuk, M;
Carpenter, JR;
(2013)
Bed sharing when parents do not smoke: is there a risk of SIDS? An individual level analysis of five major case-control studies.
BMJ Open
, 3
(5)
, Article e002299. 10.1136/bmjopen-2012-002299.
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