multiple imputation to deal with missing clinical data in rheumatologic surveys: an application in the who-ilar copcord study in iran
نویسندگان
چکیده
background: the aim of the article is demonstrating an application of multiple imputation (mi) for handling missing clinical data in the setting of rheumatologic surveys using data derived from 10291 people participating in the first phase of the community oriented program for control of rheumatic disorders (copcord) in iran . methods: five data subsets were produced from the original data set. certain demographics were selected as complete variables. in each subset, we created a univariate pattern of missingness for knee osteoarthritis status as the outcome variable (disease) using different mechanisms and percentages. the crude disease proportion and its standard error were estimated separately for each complete data set to be used as true (baseline) values for percent bias calculation. the parameters of interest were also estimated for each incomplete data subset using two approaches to deal with missing data including complete case analysis (cca) and mi with various imputation numbers. the two approaches were compared using appropriate analysis of variance. results: with cca, percent bias associated with missing data was 8.67 (95% ci: 7.81-9.53) for the proportion and 13.67 (95% ci: 12.60-14.74) for the standard error. however, they were 6.42 (95% ci: 5.56-7.29) and 10.04 (95% ci: 8.97-11.11), respectively using the mi method (m=15). percent bias in estimating disease proportion and its standard error was significantly lower in missing data analysis using mi compared with cca ( p < 0.05). conclusion: to estimate the prevalence of rheumatic disorders such as knee osteoarthritis, applying mi using available demographics is superior to cca.
منابع مشابه
Multiple Imputation to Deal with Missing Clinical Data in Rheumatologic Surveys: an Application in the WHO-ILAR COPCORD Study in Iran
BACKGROUND The aim of the article is demonstrating an application of multiple imputation (MI) for handling missing clinical data in the setting of rheumatologic surveys using data derived from 10291 people participating in the first phase of the Community Oriented Program for Control of Rheumatic Disorders (COPCORD) in Iran. METHODS Five data subsets were produced from the original data set. ...
متن کاملWHO-ILAR COPCORD Study (Stage 1, Urban Study) in Iran.
OBJECTIVE To find the prevalence of musculoskeletal complaints and rheumatic disorders in Iran. METHODS Tehran, with one-ninth of the population of Iran and of mixed ethnic origins, was selected as the field. Subjects were randomly selected from the 22 districts. Interviews were conducted once a week, on the weekend. The 3 phases of stage 1 were done on the same day, in parallel, like the fas...
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This study was conducted to determine the prevalence of oral aphthosis in a normal population in Iran, using the data of the WHO-ILAR COPCORD study in Iran. We conducted this study in Tehran, the capital of Iran which was selected as the COPCORD study field. In 22 districts of Tehran, 50 clusters were randomly selected. Of the selected houses, 4,096 households were visited and 10,291 persons we...
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عنوان ژورنال:
iranian journal of public healthجلد ۴۱، شماره ۱، صفحات ۸۷-۹۵
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