TY - JOUR AU - Nohr, E. A. AU - Frydenberg, M. AU - Henriksen, T. B. AU - Olsen, J. PY - 2006 DA - 2006// TI - Does low participation in cohort studies induce bias? JO - Epidemiology VL - 17 UR - https://doi.org/10.1097/01.ede.0000220549.14177.60 DO - 10.1097/01.ede.0000220549.14177.60 ID - Nohr2006 ER - TY - JOUR AU - Young, A. F. AU - Powers, J. R. AU - Bell, S. L. PY - 2006 DA - 2006// TI - Attrition in longitudinal studies: who do you lose? JO - Aust N Z J Public Health VL - 30 UR - https://doi.org/10.1111/j.1467-842X.2006.tb00849.x DO - 10.1111/j.1467-842X.2006.tb00849.x ID - Young2006 ER - TY - JOUR AU - Hartge, P. PY - 1999 DA - 1999// TI - Raising response rates: getting to yes JO - Epidemiology VL - 10 UR - https://doi.org/10.1097/00001648-199903000-00003 DO - 10.1097/00001648-199903000-00003 ID - Hartge1999 ER - TY - JOUR AU - Eagan, T. M. AU - Eide, G. E. AU - Gulsvik, A. AU - Bakke, P. S. PY - 2002 DA - 2002// TI - Nonresponse in a community cohort study: predictors and consequences for exposure-disease associations JO - J Clin Epidemiol VL - 55 UR - https://doi.org/10.1016/S0895-4356(02)00431-6 DO - 10.1016/S0895-4356(02)00431-6 ID - Eagan2002 ER - TY - JOUR AU - Shahar, E. AU - Folsom, A. R. AU - Jackson, R. PY - 1996 DA - 1996// TI - The effect of nonresponse on prevalence estimates for a referent population: insights from a population-based cohort study JO - Ann Epidemiol VL - 6 UR - https://doi.org/10.1016/S1047-2797(96)00104-4 DO - 10.1016/S1047-2797(96)00104-4 ID - Shahar1996 ER - TY - JOUR AU - Robins, J. M. AU - Hernan, M. A. AU - Brumback, B. PY - 2000 DA - 2000// TI - Marginal structural models and causal inference in epidemiology JO - Epidemiology VL - 11 UR - https://doi.org/10.1097/00001648-200009000-00011 DO - 10.1097/00001648-200009000-00011 ID - Robins2000 ER - TY - BOOK AU - Rubin, D. B. PY - 1987 DA - 1987// TI - Multiple imputation for survey nonresponse PB - Sons Inc. CY - New York UR - https://doi.org/10.1002/9780470316696 DO - 10.1002/9780470316696 ID - Rubin1987 ER - TY - JOUR AU - Littman, A. J. AU - Boyko, E. J. AU - Jacobson, I. G. AU - Horton, J. AU - Gackstetter, G. D. AU - Smith, B. AU - Hooper, T. AU - Wells, T. S. AU - Amoroso, P. J. AU - Smith, T. C. PY - 2010 DA - 2010// TI - Assessing nonresponse bias at follow-up in a large prospective cohort of relatively young and mobile military service members JO - BMC Med Res Methodol VL - 10 UR - https://doi.org/10.1186/1471-2288-10-99 DO - 10.1186/1471-2288-10-99 ID - Littman2010 ER - TY - JOUR AU - Eerola, M. AU - Huurre, T. AU - Aro, H. PY - 2005 DA - 2005// TI - The problem of attrition in a Finnish longitudinal survey on depression JO - Eur J Epidemiol VL - 20 UR - https://doi.org/10.1007/s10654-004-1657-0 DO - 10.1007/s10654-004-1657-0 ID - Eerola2005 ER - TY - JOUR AU - Boshuizen, H. C. AU - Viet, A. L. AU - Picavet, H. S. AU - Botterweck, A. AU - Loon, A. J. PY - 2006 DA - 2006// TI - Non-response in a survey of cardiovascular risk factors in the Dutch population: determinants and resulting biases JO - Public Health VL - 120 UR - https://doi.org/10.1016/j.puhe.2005.09.008 DO - 10.1016/j.puhe.2005.09.008 ID - Boshuizen2006 ER - TY - JOUR AU - Yu, S. AU - Brackbill, R. M. AU - Stellman, S. D. AU - Ghuman, S. AU - Farfel, M. R. PY - 2015 DA - 2015// TI - Evaluation of non-response bias in a cohort study of world trade center terrorist attack survivors JO - BMC Res Notes VL - 8 UR - https://doi.org/10.1186/s13104-015-0994-2 DO - 10.1186/s13104-015-0994-2 ID - Yu2015 ER - TY - JOUR AU - Diggle, P. AU - Kenward, M. G. PY - 1994 DA - 1994// TI - Informative drop-out in longitudinal data analysis (with discussion) JO - J R Stat Soc Series C App Stat VL - 43 ID - Diggle1994 ER - TY - JOUR AU - Scharfstein, D. O. AU - Robins, J. M. AU - Rotnitzky, A. PY - 1999 DA - 1999// TI - Adjustingfor nonignorable dropout using semiparametric nonresponse models (with discussion) JO - J Am Stat Assoc VL - 94 UR - https://doi.org/10.1080/01621459.1999.10473862 DO - 10.1080/01621459.1999.10473862 ID - Scharfstein1999 ER - TY - JOUR AU - Ibrahim, J. G. AU - Chen, M. -. H. AU - Lipsitz, S. R. PY - 2001 DA - 2001// TI - Missing responses in generalized linear mixed models with then missing data mechanism is nonignorable JO - Biometrika VL - 88 UR - https://doi.org/10.1093/biomet/88.2.551 DO - 10.1093/biomet/88.2.551 ID - Ibrahim2001 ER - TY - JOUR AU - Carpenter, J. AU - Pocock, S. AU - Lamm, C. J. PY - 2002 DA - 2002// TI - Coping with missing data in clinical trials: a model based approach applied to asthma trials JO - Stat Med VL - 21 UR - https://doi.org/10.1002/sim.1065 DO - 10.1002/sim.1065 ID - Carpenter2002 ER - TY - JOUR AU - Little, R. PY - 1993 DA - 1993// TI - Pattern-mixture models for multivariate incomplete data JO - J Am Stat Assoc VL - 88 ID - Little1993 ER - TY - JOUR AU - Hedeker, D. AU - Gibbons, R. D. PY - 1997 DA - 1997// TI - Application of random-effects pattern-mixture models for missing data in longitudinal studies JO - Psychol Methods VL - 2 UR - https://doi.org/10.1037/1082-989X.2.1.64 DO - 10.1037/1082-989X.2.1.64 ID - Hedeker1997 ER - TY - JOUR AU - Birmingham, J. AU - Fitzmaurice, G. M. PY - 2002 DA - 2002// TI - A pattern-mixture model for longitudinal binary responses with nonignorable nonresponse JO - Biometrics VL - 58 UR - https://doi.org/10.1111/j.0006-341X.2002.00989.x DO - 10.1111/j.0006-341X.2002.00989.x ID - Birmingham2002 ER - TY - JOUR AU - Guo, W. AU - Ratcliff, S. J. AU - Have, T. T. PY - 2004 DA - 2004// TI - A random pattern-mixture model for longitudinal data with dropouts JO - J Am Stat Assoc VL - 99 UR - https://doi.org/10.1198/016214504000000674 DO - 10.1198/016214504000000674 ID - Guo2004 ER - TY - JOUR AU - Little, R. PY - 1995 DA - 1995// TI - Modeling the drop-out mechanism in repeated-measures studies JO - J Am Stat Assoc VL - 90 UR - https://doi.org/10.1080/01621459.1995.10476615 DO - 10.1080/01621459.1995.10476615 ID - Little1995 ER - TY - JOUR AU - Kenward, M. AU - Molenberghs, G. PY - 1999 DA - 1999// TI - Parametric models for incomplete continuous and categorical longitudinal data JO - Stat Methods Med Res VL - 8 UR - https://doi.org/10.1177/096228029900800105 DO - 10.1177/096228029900800105 ID - Kenward1999 ER - TY - JOUR AU - Verbeke, G. AU - Lesaffre, E. AU - Spiessens, B. PY - 2001 DA - 2001// TI - The practical use of different strategies to handle dropout in longitudinal studies JO - Drug Inf J VL - 35 ID - Verbeke2001 ER - TY - JOUR AU - Michiels, B. AU - Molenberghs, G. AU - Bijnens, L. AU - Vangeneugden, T. AU - Thijs, H. PY - 2002 DA - 2002// TI - Selection models and pattern-mixture models to analyze longitudinal quality of life data subject to dropout JO - Stat Med VL - 21 UR - https://doi.org/10.1002/sim.1064 DO - 10.1002/sim.1064 ID - Michiels2002 ER - TY - CHAP AU - Wang, J. J. J. AU - Bartlett, M. AU - Ryan, L. PY - 2016 DA - 2016// TI - On the impact of informative nonresponse in logistic regression BT - JSM Proceedings, health policy statistics section PB - American Statistical Association CY - Alexandria ID - Wang2016 ER - TY - JOUR PY - 2008 DA - 2008// JO - Int J Epidemiol VL - 37 UR - https://doi.org/10.1093/ije/dym184 DO - 10.1093/ije/dym184 ID - ref25 ER - TY - STD TI - RAND Health. Scoring Instructions for MOS 36-Item Short Form Survey Instrument (SF-36). 2009. http://www.rand.org/health/surveys_tools/mos/mos_core_36item.html. Accessed 3 May 2016. UR - http://www.rand.org/health/surveys_tools/mos/mos_core_36item.html ID - ref26 ER - TY - JOUR AU - Broadhead, W. E. AU - Gehlbach, S. H. AU - Gruy, F. V. AU - Kaplan, B. H. PY - 1988 DA - 1988// TI - The duke-UNC functional social support questionnaire. Measurement of social support in family medicine patients JO - Med Care VL - 26 UR - https://doi.org/10.1097/00005650-198807000-00006 DO - 10.1097/00005650-198807000-00006 ID - Broadhead1988 ER - TY - JOUR AU - Phongsavan, P. AU - Grunseit, A. C. AU - Bauman, A. AU - Broom, D. AU - Byles, J. AU - Clarke, J. AU - Redman, S. AU - Nutbeam, D. PY - 2013 DA - 2013// TI - SEEF Project. Age, gender, social contacts, and psychological distress: findings from the 45 and Up study JO - J Aging Health VL - 25 UR - https://doi.org/10.1177/0898264313497510 DO - 10.1177/0898264313497510 ID - Phongsavan2013 ER - TY - JOUR AU - Little, R. PY - 1986 DA - 1986// TI - Survey nonresponse adjustments for estimates of means JO - Int Stat Rev VL - 54 UR - https://doi.org/10.2307/1403140 DO - 10.2307/1403140 ID - Little1986 ER - TY - JOUR AU - Scharfstein, D. O. AU - Daniels, M. J. AU - Robins, J. M. PY - 2003 DA - 2003// TI - Incorporating prior beliefs about selection bias into the analysis of randomized trials with missing outcomes JO - Biostatistics VL - 4 UR - https://doi.org/10.1093/biostatistics/4.4.495 DO - 10.1093/biostatistics/4.4.495 ID - Scharfstein2003 ER - TY - JOUR AU - Verbeke, G. AU - Molenberghs, G. AU - Thijes, H. AU - Lesaffre, E. AU - Kenward, M. G. PY - 2001 DA - 2001// TI - Sensitivity analysis for non-random dropout: a local influence approach JO - Biometrics VL - 57 UR - https://doi.org/10.1111/j.0006-341X.2001.00007.x DO - 10.1111/j.0006-341X.2001.00007.x ID - Verbeke2001 ER - TY - JOUR AU - Kenward, M. PY - 1998 DA - 1998// TI - Selection models for repeated measurements with non-random dropout: an illustration of sensitivity JO - Stat Med VL - 17 UR - https://doi.org/3.0.CO;2-5 DO - 3.0.CO;2-5 ID - Kenward1998 ER - TY - JOUR AU - Little, R. J. A. PY - 1993 DA - 1993// TI - Pattern-mixture models for multivariate incomplete data JO - J Am Stat Assoc VL - 88 ID - Little1993 ER - TY - JOUR AU - Follmann, D. AU - Wu, M. PY - 1995 DA - 1995// TI - An approximate generalized linear model with random effects for informative missing data JO - Biometrics VL - 51 UR - https://doi.org/10.2307/2533322 DO - 10.2307/2533322 ID - Follmann1995 ER - TY - CHAP AU - Lepkowski, J. M. AU - Couper, M. P. ED - Groves, R. M. ED - Dillman, D. A. ED - Entinge, J. L. ED - Little, R. J. A. PY - 2002 DA - 2002// TI - Nonresponse in the second wave of longitudinal household surveys BT - Survey nonresponse PB - John Wiley and Sons CY - NY ID - Lepkowski2002 ER - TY - JOUR AU - Voorpostel, M. AU - Lipps, O. PY - 2011 DA - 2011// TI - Attrition in the Swiss household panel: Is change associated with drop-out? JO - J Off Stat VL - 27 ID - Voorpostel2011 ER - TY - STD TI - Uhrig NSC. The nature and causes of attrition in the British Household Panel Survey. ISER Working Paper 2008-05. Colchester: Institute for Social and Economic Research, University of Essex. ID - ref37 ER - TY - STD TI - Mason A, Best N, Plewis I, Richardson S. Insights into the use of Bayesian models for informative missing data. Technical report, Imperial College London. 2010. ID - ref38 ER - TY - JOUR AU - Mason, A. AU - Richardson, S. AU - Plewis, I. AU - Best, N. PY - 2012 DA - 2012// TI - Strategy for modelling non-random missing data mechanisms in observational studies using Bayesian methods JO - J Off Stat VL - 28 ID - Mason2012 ER - TY - JOUR AU - Lunn, D. J. AU - Thomas, A. AU - Best, N. AU - Spiegelhalter, D. PY - 2000 DA - 2000// TI - WinBUGS -- a Bayesian modelling framework: concepts, structure, and extensibility JO - Stat Comput VL - 10 UR - https://doi.org/10.1023/A:1008929526011 DO - 10.1023/A:1008929526011 ID - Lunn2000 ER - TY - JOUR AU - Little, R. AU - Lewitzky, S. AU - Heeringa, S. AU - Lepkowski, J. AU - Kessler, R. C. PY - 1997 DA - 1997// TI - Assessment of weighting methodology for the National Comorbidity Survey JO - Am J Epidemiol VL - 146 UR - https://doi.org/10.1093/oxfordjournals.aje.a009297 DO - 10.1093/oxfordjournals.aje.a009297 ID - Little1997 ER - TY - JOUR AU - Etter, J. F. AU - Perneger, T. V. PY - 1997 DA - 1997// TI - Analysis of non-response bias in a mailed health survey JO - J Clin Epidemiol VL - 50 UR - https://doi.org/10.1016/S0895-4356(97)00166-2 DO - 10.1016/S0895-4356(97)00166-2 ID - Etter1997 ER - TY - BOOK AU - Watson, N. AU - Wooden, M. PY - 2009 DA - 2009// TI - Identifying factors affecting longitudinal survey response. In Methodology of longitudinal surveys, ed. Peter Lynn, 157-183 PB - Sons CY - Chichester ID - Watson2009 ER - TY - JOUR AU - Seaman, S. R. AU - White, I. R. PY - 2011 DA - 2011// TI - Review of inverse probability weighting for dealing with missing data JO - Stat Methods Med Res VL - 22 UR - https://doi.org/10.1177/0962280210395740 DO - 10.1177/0962280210395740 ID - Seaman2011 ER - TY - JOUR AU - Rao, R. S. AU - Sigurdson, A. J. AU - Doody, M. M. AU - Graubard, B. I. PY - 2005 DA - 2005// TI - An application of a weighting method to adjust for nonresponse in standardized incidence ratio analysis of cohort studies JO - Ann Epidemiol VL - 15 UR - https://doi.org/10.1016/j.annepidem.2004.05.007 DO - 10.1016/j.annepidem.2004.05.007 ID - Rao2005 ER - TY - JOUR AU - Liu, W. AU - Kuramoto, S. J. AU - Stuart, E. A. PY - 2013 DA - 2013// TI - An introduction to sensitivity analysis for unobserved confounding in non-experimental prevention research JO - Prev Sci VL - 14 UR - https://doi.org/10.1007/s11121-012-0339-5 DO - 10.1007/s11121-012-0339-5 ID - Liu2013 ER -