Multiple imputation of censored survival data in the presence of missing covariates using restricted mean survival time

References

• P.K. Andersen, M.G. Hansen, and J.P. Klein, Regression analysis of restricted mean survival time based on pseudo-observations, Lifetime Data Anal. 10 (2004), pp. 335–350. doi: 10.1007/s10985-004-4771-0
   PubMed Web of Science ®Google Scholar
• S.A. Barnes, S.R. Lindborg, and J.W. Seaman, Multiple imputation techniques in small sample clinical trials, Stat. Med. 25 (2006), pp. 233–245. doi: 10.1002/sim.2231
   PubMed Web of Science ®Google Scholar
• S. van Burren, H.C. Boshuizen, and D.L. Knook, Multiple imputation of missing blood pressure covariates in survival analysis, Stat. Med. 18 (1999), pp. 681–694. doi: 10.1002/(SICI)1097-0258(19990330)18:6<681::AID-SIM71>3.0.CO;2-R
   PubMed Web of Science ®Google Scholar
• S. van Burren, Multiple imputation of discrete and continuous data by fully conditional specification, Stat Methods Med Res. 16 (2007), pp. 219–242. doi: 10.1177/0962280206074463
   PubMed Web of Science ®Google Scholar
• A. Burton, D.G. Altman, P. Royston, and R.L. Holder, The design of simulation studies in medical statistics, Stat. Med. 25 (2006), pp. 4279–4292. doi: 10.1002/sim.2673
   PubMed Web of Science ®Google Scholar
• R.M. Conroy, Stings in the tails: Detecting and dealing with censored data, Stata J. 5 (2005), pp. 395–404.
   Google Scholar
• G. Grover, A.K. Gadpayle, and N. Makhija, On the estimation of survival time of cardio-vascular disease patients with random number of myocardial infarctions using parametric and semi-parametric methods, Electron. J. Appl. Stat. Anal. 3 (2009), pp. 1–17. doi: 10.1214/08-EJS209
   Web of Science ®Google Scholar
• D.W. Hosmer and S. Lemeshaw Jr, Applied Survival Analysis: Regression Modeling of Time to Event Data, Wiley, New York, 1999.
   Google Scholar
• E. Koehler, E. Brown, and S.J.-P.A. Haneuse, On the assessment of Monte Carlo error in simulation-based statistical analyses, Am. Statist. 63 (2009), pp. 155–162. doi: 10.1198/tast.2009.0030
   PubMed Web of Science ®Google Scholar
• P.W. Lavori, R. Dawson, and D. Shera, A multiple imputation strategy for clinical trials with truncation of patient data, Stat. Med. 14 (1995), pp. 1913–1925. doi: 10.1002/sim.4780141707
   PubMed Web of Science ®Google Scholar
• L.X. Liu, S. Murray, and A. Tsodikov, Multiple imputation based on restricted mean model for censored data, Stat. Med. 30 (2011), pp. 1339–1350.
   PubMed Web of Science ®Google Scholar
• R. Miller and J. Halpern, Regression with censored data, Biometrika. 69 (1982), pp. 521–531. doi: 10.1093/biomet/69.3.521
   Web of Science ®Google Scholar
• W. Pan, A multiple imputation approach to Cox regression with interval-censored data, Biometrics. 56 (2000), pp. 199–203. doi: 10.1111/j.0006-341X.2000.00199.x
   PubMed Web of Science ®Google Scholar
• W. Pan and J.E. Connet, A multiple imputation approach to linear regression with cluster censored data, Lifetime Data Anal. 7 (2001), pp. 111–123. doi: 10.1023/A:1011334721264
   PubMed Web of Science ®Google Scholar
• T.E. Raghunathan, J.M. Lepkowski, J. van Hoewyk, and P. Solenberger, A multivariate technique for multiply imputing missing values using a sequence of regression models, Surv. Methodol. 27 (2001), pp. 85–95.
   Google Scholar
• P. Royston, Multiple imputation of missing values: Update of ice, Stata J. 5 (2005), pp. 527–536.
   Web of Science ®Google Scholar
• P. Royston, Multiple imputation of missing values: Further update of ice, with an emphasis on interval censoring, Stata J. 7 (2007), pp. 445–464.
   Web of Science ®Google Scholar
• P. Royston and M.K.B. Parmar, The use of restricted mean survival time to estimate the treatment effect in randomized clinical trials when the proportion hazards assumption is in doubt, Stat. Med. 30 (2011), pp. 2409–2421. doi: 10.1002/sim.4274
   PubMed Web of Science ®Google Scholar
• D.B. Rubin, Statistical matching using _le concatenation with adjusted weights and multiple imputation, J. Bus. Econom. Statist. 4 (1986), pp. 87–94.
   Web of Science ®Google Scholar
• D.B. Rubin, Multiple Imputation for Nonresponse in Surveys, Wiley, New York, 1987.
   Google Scholar
• Z. Su and L. Fang, A novel method to calculate mean survival time for time-to-event data, Comm. Statist. Simulation Comput. 41 (2012), pp. 611–620. doi: 10.1080/03610918.2011.598996
   Web of Science ®Google Scholar
• G.C.G. Wei and M.A. Tanner, Applications of multiple imputation to the analysis of censored regression data, Biometrics. 47 (1991), pp. 1297–1309. doi: 10.2307/2532387
   PubMed Web of Science ®Google Scholar
• I.R. White, P. Royston, and A.M. Wood, Multiple imputation using chained equation: Issues and guidance for practice, Stat. Med. 30 (2011), pp. 377–399. doi: 10.1002/sim.4067
   PubMed Web of Science ®Google Scholar