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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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Bayesian multiple imputation for assay data subject to measurement error, and . Journal of Statistical Theory and Practice, 7 (2): 219--232 (2013)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.How Well Quantified Is the Limit of Quantification?, , and . Epidemiology, 21 (4): S10–S16 (July 2010)Strategy hubs: next-generation domain portals with search procedures., , , , , , and . CHI, page 393-400. ACM, (2003)To Model or Not to Model? Competing Modes of Inference for Finite Population Sampling. Journal of the American Statistical Association, 99 (466): 546--556 (2004)Survey Nonresponse, , , and . Wiley, New York, (2002)Robust Estimation of the Mean and Covariance Matrix from Data with Missing Values. Journal of the Royal Statistical Society. Series C (Applied Statistics), 37 (1): 23--38 (January 1988)ArticleType: research-article / Full publication date: 1988 / Copyright © 1988 Royal Statistical Society.An Evaluation of Model-Dependent and Probability-Sampling Inferences in Sample Surveys: Comment. Journal of the American Statistical Association, 78 (384): 797--799 (1983)Approximately calibrated small sample inference about means from bivariate normal data with missing values. Computational Statistics & Data Analysis, 7 (2): 161--178 (December 1988)Robust statistical modeling using the t distribution, , and . Journal of the American Statistical Association, 84 (408): 881--896 (December 1989)ArticleType: research-article / Full publication date: Dec., 1989 / Copyright © 1989 American Statistical Association.