Analyzing longitudinal clinical trial data with nonignorable missingness and unknown missingness reasons
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References listed on IDEAS
- Sotto, Cristina & Beunckens, Caroline & Molenberghs, Geert & Kenward, Michael G., 2011. "MCMC-based estimation methods for continuous longitudinal data with non-random (non)-monotone missingness," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 301-311, January.
- Gad, Ahmed M. & Ahmed, Abeer S., 2006. "Analysis of longitudinal data with intermittent missing values using the stochastic EM algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2702-2714, June.
- Stijn Vansteelandt & Andrea Rotnitzky & James Robins, 2007. "Estimation of Regression Models for the Mean of Repeated Outcomes Under Nonignorable Nonmonotone Nonresponse," Biometrika, Biometrika Trust, vol. 94(4), pages 841-860.
- Yi Qian, 2007. "Do National Patent Laws Stimulate Domestic Innovation in a Global Patenting Environment? A Cross-Country Analysis of Pharmaceutical Patent Protection, 1978-2002," The Review of Economics and Statistics, MIT Press, vol. 89(3), pages 436-453, August.
- John Copas & Shinto Eguchi, 2001. "Local sensitivity approximations for selectivity bias," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(4), pages 871-895.
More about this item
KeywordsBound analysis; Clinical trial; Genetic algorithm; Missing data; Multinomial logit model; Sensitivity analysis;
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