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■ Abbreviation / Long Form : CCA / complete case analysis

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Total Number of Papers: 21
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Abbreviation:   CCA  (>> Co-occurring Abbreviation)
Long Form:   complete case analysis
 Abbreviation Variation
 Long Form Variation
 Pair(Abbreviation/Long Form) Variation
No. Year Title Co-occurring Abbreviation
2019 Accounting for missing data in statistical analyses: multiple imputation is not always the answer. MAR, MI
2019 Cox regression model with randomly censored covariates. ---
2019 The proportion of missing data should not be used to guide decisions on multiple imputation. FMI, MAR, MI
2018 Handling of Missing Outcome Data in Acute Stroke Trials: Advantages of Multiple Imputation Using Baseline and Postbaseline Variables. LOCF, MI-B, MI-BP, mRS, WCI
2017 Imputation strategies in the trauma registration. CI, MI, Ws
2016 Missing covariates in competing risks analysis. SMC-FCS
2016 Missing Data in Alcohol Clinical Trials with Binary Outcomes. LOCF, MI, WCS
2016 Multiple imputation strategies for zero-inflated cost data in economic evaluations: which method works best? MI-PMM
2015 Multiple Imputation by Fully Conditional Specification for Dealing with Missing Data in a Large Epidemiologic Study. ---
10  2014 Improving upon the efficiency of complete case analysis when covariates are MNAR. IPW, MI, MNAR
11  2013 Efficacy of a text message-based smoking cessation intervention for young people: a cluster randomized controlled trial. ISRCTN, ITT, ITT
12  2013 Missing data in alcohol clinical trials: a comparison of methods. FIML, LOCF, MI
13  2013 Multiple imputation methods for handling missing data in cost-effectiveness analyses that use data from hierarchical studies: an application to cluster randomized trials. CEAs, CRTs, INBs, MAR, MCAR, MI, MNAR
14  2012 Missing data and imputation: a practical illustration in a prognostic study on low back pain. MI
15  2012 Move over LOCF: principled methods for handling missing data in sleep disorder trials. LOCF
16  2012 Multiple Imputation to Deal with Missing Clinical Data in Rheumatologic Surveys: an Application in the WHO-ILAR COPCORD Study in Iran. COPCORD, MI
17  2011 Comparison of methods for handling missing data on immunohistochemical markers in survival analysis of breast cancer. MAR, MCAR, MS, TMAs
18  2011 [Multiple imputation and complete case analysis in logistic regression models: a practical assessment of the impact of incomplete covariate data]. MI
19  2010 A semiparametric missing-data-induced intensity method for missing covariate data in individually matched case-control studies. ---
20  2010 Evaluation of imputation methods in ovarian tumor diagnostic models using generalized linear models and support vector machines. GLMs
21  2003 Bias due to missing exposure data using complete-case analysis in the proportional hazards regression model. MAR, MCAR