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The prevention and treatment of missing data in clinical trials.

, , , , , , , , , , , , , , , and . The New England journal of medicine, 367 (14): 1355-60 (October 2012)6945<br/>doi: 10.1056/NEJMsr1203730; M3: doi: 10.1056/NEJMsr1203730; 04;<br/>Dades censurades; RCT; Disseny; Imputació múltiple.
DOI: 10.1056/NEJMsr1203730

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A simulation study comparing weighted estimating equations with multiple imputation based estimating equations for longitudinal binary data., , and . Comput. Stat. Data Anal., 52 (3): 1533-1548 (2008)The prevention and treatment of missing data in clinical trials., , , , , , , , , and 6 other author(s). The New England journal of medicine, 367 (14): 1355-60 (October 2012)6945<br/>doi: 10.1056/NEJMsr1203730; M3: doi: 10.1056/NEJMsr1203730; 04;<br/>Dades censurades; RCT; Disseny; Imputació múltiple.Editorial: What to do with missing data?. Journal of the Royal Statistical Society: Series A (Statistics in Society), 170 (4): 861-863 (October 2007)4946<m:linebreak></m:linebreak>PN: 0964-1998;<m:linebreak></m:linebreak>Dades censurades.Generalized reliability estimation using repeated measurements., , , and . The British journal of mathematical and statistical psychology, 59 (Pt 1): 113-31 (May 2006)Mesures de concordància; Online; ICC; Psiquiatria.Incomplete Data in Clinical and Epidemiological Studies.. International Encyclopedia of Statistical Science, Springer, (2011)Extending Gaussian process emulation using cluster analysis and artificial neural networks to fit big training sets., , , , and . J. Simulation, 13 (3): 195-208 (2019)Generating random correlation matrices with fixed values: An application to the evaluation of multivariate surrogate endpoints., , , and . Comput. Stat. Data Anal., (2020)Second-order generalized estimating equations for correlated count data., , and . Comput. Stat., 31 (2): 749-770 (2016)MCMC-based estimation methods for continuous longitudinal data with non-random (non)-monotone missingness., , , and . Comput. Stat. Data Anal., 55 (1): 301-311 (2011)GEE for longitudinal ordinal data: Comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN., , and . Comput. Stat. Data Anal., (2014)