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Research Synthesis Methods|July 26, 2017
Bayesian one-step IPD network meta-analysis of time-to-event data using Royston-Parmar modelsSuzanne C Freeman, James R CarpenterStatistics in Medicine|October 25, 2019
Identifying inconsistency in network meta-analysis: Is the net heat plot a reliable method?Suzanne C Freeman, David Fisher, Ian R White, et al.Statistical Methods in Medical Research|January 19, 2022
Challenges of modelling approaches for network meta-analysis of time-to-event outcomes in the presence of non-proportional hazards to aid decision making: Application to a melanoma networkSuzanne C Freeman, Nicola J Cooper, Alex J Sutton, et al.Methods in Molecular Biology (Clifton, N.J.)|September 22, 2021
Individual Patient Data Meta-Analysis and Network Meta-AnalysisSuzanne C FreemanBiometrical Journal. Biometrische Zeitschrift|March 15, 2019
Multiple imputation for discrete data: Evaluation of the joint latent normal modelMatteo Quartagno, James R CarpenterCancer Epidemiology|March 19, 2017
Correcting bias due to missing stage data in the non-parametric estimation of stage-specific net survival for colorectal cancer using multiple imputationMilena Falcaro, James R CarpenterBiometrical Journal. Biometrische Zeitschrift|February 24, 2021
Missing data: A statistical framework for practiceJames R Carpenter, Melanie SmukStatistics in Medicine|August 12, 2022
Substantive model compatible multilevel multiple imputation: A joint modeling approachMatteo Quartagno, James R CarpenterJournal of Clinical Epidemiology|May 15, 2020
Uptake of methodological advances for synthesis of continuous and time-to-event outcomes would maximize use of the evidence baseSuzanne C Freeman, Alex J Sutton, Nicola J CooperBMJ (Clinical Research Ed.)|July 9, 2011
Glycaemic control in type 1 diabetes during real time continuous glucose monitoring compared with self monitoring of blood glucose: meta-analysis of randomised controlled trials using individual patient dataJohn C Pickup, Suzanne C Freeman, Alex J SuttonPageof 13