TY - JOUR AU - Silverman, S. L. PY - 2009 DA - 2009// TI - From randomized controlled trials to observational studies JO - Am J Med VL - 122 UR - https://doi.org/10.1016/j.amjmed.2008.09.030 DO - 10.1016/j.amjmed.2008.09.030 ID - Silverman2009 ER - TY - JOUR AU - Kontopantelis, E. AU - Doran, T. AU - Springate, D. A. AU - Buchan, I. AU - Reeves, D. PY - 2015 DA - 2015// TI - Interrupted time-series analysis: a regression based quasi-experimental approach for when randomisation is not an option JO - BMJ VL - 350 UR - https://doi.org/10.1136/bmj.h2750 DO - 10.1136/bmj.h2750 ID - Kontopantelis2015 ER - TY - JOUR AU - Rubin, D. B. PY - 1996 DA - 1996// TI - Multiple imputation after 18+ years JO - J Am Stat Assoc VL - 91 UR - https://doi.org/10.1080/01621459.1996.10476908 DO - 10.1080/01621459.1996.10476908 ID - Rubin1996 ER - TY - JOUR AU - Carpenter, J. R. AU - Kenward, M. G. AU - Vansteelandt, S. PY - 2006 DA - 2006// TI - A comparison of multiple imputation and doubly robust estimation for analyses with missing data JO - J R Stat Soc: Series A (Statistics in Society) VL - 169 UR - https://doi.org/10.1111/j.1467-985X.2006.00407.x DO - 10.1111/j.1467-985X.2006.00407.x ID - Carpenter2006 ER - TY - JOUR AU - Tang, L. AU - Song, J. AU - Belin, T. R. AU - Unützer, J. PY - 2005 DA - 2005// TI - A comparison of imputation methods in a longitudinal randomized clinical trial JO - Stat Med VL - 24 UR - https://doi.org/10.1002/sim.2099 DO - 10.1002/sim.2099 ID - Tang2005 ER - TY - JOUR AU - Saha, C. AU - Jones, M. P. PY - 2009 DA - 2009// TI - Bias in the last observation carried forward method under informative dropout JO - J Stat Plan Inference VL - 139 UR - https://doi.org/10.1016/j.jspi.2008.04.017 DO - 10.1016/j.jspi.2008.04.017 ID - Saha2009 ER - TY - JOUR AU - Lee, K. J. AU - Carlin, J. B. PY - 2012 DA - 2012// TI - Recovery of information from multiple imputation: a simulation study JO - Emerg Themes Epidemiol VL - 9 UR - https://doi.org/10.1186/1742-7622-9-3 DO - 10.1186/1742-7622-9-3 ID - Lee2012 ER - TY - JOUR AU - Potthoff, R. F. AU - Tudor, G. E. AU - Pieper, K. S. AU - Hasselblad, V. PY - 2006 DA - 2006// TI - Can one assess whether missing data are missing at random in medical studies? JO - Statl Methods Med Res VL - 15 UR - https://doi.org/10.1191/0962280206sm448oa DO - 10.1191/0962280206sm448oa ID - Potthoff2006 ER - TY - JOUR AU - Schafer, J. L. AU - Graham, J. W. PY - 2002 DA - 2002// TI - Missing data: our view of the state of the art JO - Psychol Methods VL - 7 UR - https://doi.org/10.1037/1082-989X.7.2.147 DO - 10.1037/1082-989X.7.2.147 ID - Schafer2002 ER - TY - JOUR AU - Groenwold, R. H. H. AU - Donders, A. R. T. AU - Roes, K. C. B. AU - Harrell, F. E. AU - Moons, K. G. M. PY - 2012 DA - 2012// TI - Dealing with missing outcome data in randomized trials and observational studies JO - Am J Epidemiol VL - 175 UR - https://doi.org/10.1093/aje/kwr302 DO - 10.1093/aje/kwr302 ID - Groenwold2012 ER - TY - JOUR AU - Nevalainen, J. AU - Kenward, M. G. AU - Virtanen, S. M. PY - 2009 DA - 2009// TI - Missing values in longitudinal dietary data: a multiple imputation approach based on a fully conditional specification JO - Stat Med VL - 28 UR - https://doi.org/10.1002/sim.3731 DO - 10.1002/sim.3731 ID - Nevalainen2009 ER - TY - JOUR AU - Welch, C. AU - Bartlett, J. AU - Petersen, I. PY - 2014 DA - 2014// TI - Application of multiple imputation using the two-fold fully conditional specification algorithm in longitudinal clinical data JO - Stat Med VL - 33 UR - https://doi.org/10.1002/sim.6184 DO - 10.1002/sim.6184 ID - Welch2014 ER - TY - JOUR AU - Welch, C. A. AU - Petersen, I. AU - Bartlett, J. W. AU - White, I. R. AU - Marston, L. AU - Morris, R. W. AU - Nazareth, I. AU - Walters, K. AU - Carpenter, J. PY - 2014 DA - 2014// TI - Evaluation of two-fold fully conditional specification multiple imputation for longitudinal electronic health record data JO - Stat Med VL - 33 UR - https://doi.org/10.1002/sim.6184 DO - 10.1002/sim.6184 ID - Welch2014 ER - TY - JOUR AU - Engels, J. M. AU - Diehr, P. PY - 2003 DA - 2003// TI - Imputation of missing longitudinal data: a comparison of methods JO - J Clin Epidemiol VL - 56 UR - https://doi.org/10.1016/S0895-4356(03)00170-7 DO - 10.1016/S0895-4356(03)00170-7 ID - Engels2003 ER - TY - STD TI - Royal College of Paediatrics and Child Health: School Age Charts and Resources. http://www.rcpch.ac.uk/child-health/research-projects/uk-who-growth-charts/uk-growth-chart-resources-2-18-years/school-age UR - http://www.rcpch.ac.uk/child-health/research-projects/uk-who-growth-charts/uk-growth-chart-resources-2-18-years/school-age ID - ref15 ER - TY - JOUR AU - Welch, C. AU - Petersen, I. AU - Walters, K. AU - Morris, R. W. AU - Nazareth, I. AU - Kalaitzaki, E. AU - White, I. R. AU - Marston, L. AU - Carpenter, J. PY - 2012 DA - 2012// TI - Two-stage method to remove population- and individual-level outliers from longitudinal data in a primary care database JO - Pharmacoepidemiol Drug Saf VL - 21 UR - https://doi.org/10.1002/pds.2270 DO - 10.1002/pds.2270 ID - Welch2012 ER - TY - STD TI - Kontopantelis E, Springate DA, Reeves D, Ashcroft DM, Rutter M, Buchan I, Doran T. Glucose, blood pressure and cholesterol levels and their relationships to clinical outcomes in type 2 diabetes: a retrospective cohort study. Diabetologia. 2014:1–14 ID - ref17 ER -