Complete Case Analysis
Imputation Methods for Longitudinal Data: A Comparative Study
... include complete case analysis (CCA), mean imputation (Mean), last observation carried forward (LOCF), hot deck (HOT), regression imputation (Regress), K-nearest neighbor (KNN), The expectation ...
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On the impact of nonresponse in logistic regression: application to the 45 and Up study
... the complete case analysis, models assuming MAR and the selection model with λ = ...(i.e. complete case, MAR and NMAR with increasing values of λ) are shown in ...
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Sensitivity models for missing covariates in the analysis of survival data from multiple surveys
... naive complete case analysis; a full likelihood model in which the covariates are assumed to be missing at random and in which each of the binary predictor variables are mod- elled as independent ...
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Hapfelmeier, Alexander (2012): Analysis of missing data with random forests. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... a complete case analysis however, U suffers the loss of its explanatory power although it does not contain any missing values at ...a complete case analysis makes U mainly ...
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A comparison of multiple imputation methods for handling missing values in longitudinal data in the presence of a time-varying covariate with a non-linear association with time: a simulation study
... target analysis parameter of interest was the log(OR) for the association between sleep problems and bmiz measured at a previous wave, estimated using gen- eralized estimating equations to account for repeated ...
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When and how should multiple imputation be used for handling missing data in randomised clinical trials – a practical guide with flowcharts
... a complete case analysis should be performed and no specific methods ought to be used to handle the missing data ...a complete case analysis may provide biased results ...
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<p>Analytical approaches and estimands to take account of missing patient-reported data in longitudinal studies</p>
... a complete case analysis, mixed models do an implicit imputation, “ imputing ” missing obser- vations for subjects by combining the subject ’ s data with the subjects who have fully observed data (an ...
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Handling trial participants with missing outcome data when conducting a meta-analysis: a systematic survey of proposed approaches
... We have summarized the recommended approaches for how systematic review authors may handle MPD when conducting a meta-analysis. All general approaches rec- ommend complete case analysis as the ...
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Title and Abstract Screening and Evaluation in Systematic Reviews (TASER): a pilot randomised controlled trial of title and abstract screening by medical students
... a complete case analysis using a chi-squared test and Kruskal-Wallis rank sum test according to screening modality and compared to a final set of included citations selected by expert review ...
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Proxy and patient reports of health-related quality of life in a national cancer survey
... using complete case analysis for missing data rather than the multiply imputed datasets; the complete case analysis approach has been used in several studies evaluating HRQOL in ...
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Heavy metal content of herbal health supplement products in Dubai – UAE: a cross sectional study
... is complete case analysis (CCA), where observations with values below the LOD are simply ...survival analysis or time to event data when some observations are not completely observed and are ...
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Genetic diversity of simian immunodeficiency viruses from West African green monkeys: evidence of multiple genotypes within populations from the same geographical locale.
... the case of the feline immunodeficiency virus, three env subtypes have been recognized but geographical boundaries are less clear, especially for the B subtype ...
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Complete remission of pancreatic head desmoid tumor treated by COX 2 inhibitor—a case report
... Case presentation: Herein, we report a 57-year-old woman who presented with recurrent epigastric pain and weight loss. An abdominal computed tomography scan showed an approximately 10-cm mass over the pancreatic ...
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Long term follow up and pregnancy after complete sacrectomy with lumbopelvic reconstruction: case report and literature review
... Neurological deficit is not an absolute indication for cesarean delivery. Nonetheless, the rate of cesareans among women with neurological dysfunction is higher than expected in the general obstetric population. Our ...
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Complete probabilistic analysis of RNA shapes
... A drawback of the Zuker algorithm is the use of heuristic filters to circumvent the repeated output of the same struc- ture. These filters remove not only redundant structures but also similar structures. This is ...
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Reconstruction strategy in isolated complete Cryptophthalmos: a case series
... subtypes: complete, incom- plete, and abortive form (see Table 1). [3] In complete cryp- tophthalmic patients, the upper and lower eyelids are replaced by a sheet of skin running from forehead to ...
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A comparison of missing data procedures for addressing selection bias in HIV sentinel surveillance data
... Considering the extent of missing data, one might have expected that the application of multiple imput- ation would enhance the accuracy of the analysis. How- ever, in our simulation study, the performance of MI ...
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Healthcare professionals’ acceptance of BelRAI, a web-based system enabling person-centred recording and data sharing across care settings with interRAI instruments: a UTAUT analysis
... In any case, there is need for high quality education, both internally and externally. The expectations for exter- nal education and support can strongly depend on the context or setting. In one setting there ...
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Game complete analysis of Bertrand Duopoly
... the Complete Analysis of Differentiable Games (introduced by ...the case of Cournot duopoly) are the Nash equilibrium and the Collusive Optimum, without any subsequent critical exam about these two ...
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Practical considerations for sensitivity analysis after multiple imputation applied to epidemiological studies with incomplete data
... However, a computationally much more straightfor- ward approach to local sensitivity analysis, following MI under MAR, has been proposed by Carpenter et al. [19,20]. This ‘selection-based’ approach explores the ...
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