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Missing covariate data in clinical research: when …

    https://www.cmaj.ca/content/184/11/1265
    Missing-indicator method. The missing-indicator method was proposed for missing confounder data in etiologic …

Missing covariate data in medical research: To impute is …

    https://www.sciencedirect.com/science/article/pii/S0895435610000193
    Missing values were generated with proportions of missing ranging between 10% and 90%. For each proportion of missing values, we simulated 500 datasets that …

How are missing data in covariates handled in …

    https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-020-01018-7
    Missing data in covariates can result in biased estimates and loss of power to detect associations. It can also lead to other challenges in time-to-event analyses …

Missing covariate data in medical research: to impute is …

    https://pubmed.ncbi.nlm.nih.gov/20338724/
    Objective: We compared popular methods to handle missing data with multiple imputation (a more sophisticated method that preserves data). Study design and setting: We used …

Missing covariate data in clinical research: when and …

    https://www.cmaj.ca/content/cmaj/184/11/1265.full.pdf
    Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis Rolf H.H. Groenwold MD PhD, Ian R. White MSc, A. Rogier …

How are missing data in covariates handled in …

    https://pubmed.ncbi.nlm.nih.gov/32471366/
    The review focused on proportional hazards models or extended Cox models. We investigated the extent and reporting of missing data and how it was …

Missing covariate data in medical research: To impute is …

    https://www.sciencedirect.com/science/article/abs/pii/S0895435610000193
    Study Design and Setting. We used data of 804 patients with a suspicion of deep venous thrombosis (DVT). We studied three covariates to predict the presence of …

Missing covariate data in medical research: to impute is …

    https://www.semanticscholar.org/paper/Missing-covariate-data-in-medical-research%3A-to-is-Janssen-Donders/73b806b9afee4db0d559be116a812fc73bdbb170
    TLDR. This simulation study, based on data from a longitudinal cohort study, demonstrates that there is little gain in performing MI compared to a complete-case …

Missing Covariate Data | SpringerLink

    https://link.springer.com/chapter/10.1007/978-1-4757-3447-8_8
    Abstract. Missing covariate data often arise in various settings, especially in clinical trials, epidemiological studies, and environmental studies. In the frequentist setting, it is well …

Missing covariate data in clinical …

    https://www.researchgate.net/publication/221867665_Missing_covariate_data_in_clinical_research_When_and_when_not_to_use_the_missing-indicator_method_for_analysis
    In contrast, White and Thompson focused on missing baseline covariate data in randomized trials and found that the missing-indicator method produced unbiased estimates of the …



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