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19 Incomplete Data in Epidemiology and Medical Statistics

    https://www.sciencedirect.com/science/article/pii/S0169716107270191
    Missing data are a common problem in most epidemiological and medical studies, including surveys and clinical trials. Imputation, or filling in the missing values, is an intuitive and flexible way to handle the incomplete data sets that arise because of such …

Incomplete Data in Epidemiology and Medical Statistics

    https://www.semanticscholar.org/paper/Incomplete-Data-in-Epidemiology-and-Medical-Riissler-Rubin/112fe414c14874e60ddb23409a615cbc9f2d3c29
    Missing data are a common problem in most epidemiological and medical studies, including surveys and clinical trials. Imputation, or jilling in the missing values, is an …

Incomplete Data in Clinical and Epidemiological Studies

    https://link.springer.com/referenceworkentry/10.1007/978-3-642-04898-2_300
    It follows that there is an important role for sensitivity analysis in assessing inferences from incomplete data (Verbeke and Molenberghs 2000; ... Molenberghs, G. …

19 Incomplete Data in Epidemiology and Medical Statistics

    https://www.researchgate.net/publication/251462170_19_Incomplete_Data_in_Epidemiology_and_Medical_Statistics
    Missing data are a common problem in most epidemiological and medical studies, including surveys and clinical trials. Imputation, or filling in the missing values, is …

Multiple Imputation for Incomplete Data in Epidemiologic …

    https://academic.oup.com/aje/article/187/3/576/4642952
    Another useful exploration of the data is to examine the covariate distribution for complete and incomplete cases. In Table 1, we summarize the descriptive statistics …

Missing Data and Multiple Imputation | Columbia Public …

    https://www.publichealth.columbia.edu/research/population-health-methods/missing-data-and-multiple-imputation
    Worst-case analysis (commonly used for outcomes, e.g. missing data are replaced with the “worst” value under NI assumption) 4. Multiple imputation relies on regression models to …

Describing Epidemiologic Data | Epidemic …

    https://www.cdc.gov/eis/field-epi-manual/chapters/Describing-Epi-Data.html
    Tables are commonly used for characterizing disease cases or other health events and are ideal for displaying numeric values. In addition to the previously mentioned elements in common to all data …

19 Incomplete Data in Epidemiology and Medical Statistics

    https://www.semanticscholar.org/paper/19-Incomplete-Data-in-Epidemiology-and-Medical-R%C3%A4ssler-Rubin/4e39d1f26c0bd07c8d7376577442e7f2b8ed9db6
    Semantic Scholar extracted view of "19 Incomplete Data in Epidemiology and Medical Statistics" by Susanne Rässler et al. Skip to search form Skip to main ...

Collecting Data | Epidemic Intelligence Service | CDC

    https://www.cdc.gov/eis/field-epi-manual/chapters/collecting-data.html
    Collecting data during a field investigation requires the epidemiologist to conduct several activities. Although it is logical to believe that a field investigation of an urgent public …

The risk and consequences of clinical miscoding due to …

    https://pubmed.ncbi.nlm.nih.gov/19293434/
    As coded clinical data are used in a variety of areas (e.g. health services funding, epidemiology, health sciences research), coding errors have the potential to produce far …



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