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Iranian Journal of Public Health، جلد ۴۱، شماره ۱، صفحات ۸۷-۹۵
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عنوان انگلیسی Multiple Imputation to Deal with Missing Clinical Data in Rheumatologic Surveys: an Application in the WHO-ILAR COPCORD Study in Iran
چکیده انگلیسی مقاله 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.
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نویسندگان مقاله m میرمحمدخانی | m mirmohammadkhani
dept. of epidemiology and biostatistics, school of public health, tehran university of medical scien

سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)

a رحیمی فروشانی | a rahimi foroushani
dept. of epidemiology and biostatistics, school of public health, tehran university of medical scien

سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)

f دواچی | f davatchi
dept. of internal medicine, school of medicine, tehran university of medical sciences, tehran, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی تهران (Tehran university of medical sciences)

k محمد | k mohammad
dept. of epidemiology and biostatistics, school of public health, tehran university of medical scien

سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)

a جمشیدی | a jamshidi
dept. of internal medicine, school of medicine, tehran university of medical sciences, tehran, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی تهران (Tehran university of medical sciences)

a تهرانی بنی هاشمی | a tehrani banihashemi
rheumatology research center, tehran, iran


کوروش هلاکویی نایینی | k holakouie naieni
national institute of health research, tehran, iran

سازمان اصلی تایید شده: موسسه ملی تحقیقات سلامت (National institute of health research)

نشانی اینترنتی http://ijph.tums.ac.ir/index.php/ijph/article/view/2638
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