clindata_miss: Clinical dataset with missingness
In Tirgit/missCompare: Intuitive Missing Data Imputation Framework

Description Usage Format Source

clindata_miss is a custom made dataframe that resembles a real-life clinical dataset. The correlations between variables, the data means, SDs and ranges are realistic, but the dataset is constructed by simulations and manual data input. The dataset contains missing values (approximately 10% missing overall), and values are missing in a realistic pattern.

1	clindata_miss

A data frame with 2500 rows and 12 variables:

age: numeric, age, in years, 2.88% missing - in general, age is not likely have lots of missing data in a realistic dataset, therefore only a few values are missing here randomly, e.g. due to mistakes in data input
sex: factor, male=1 and female=2, 2.88% missing - similar to age, sex information is also not likely have missing data in a realistic dataset, no values are missing here
waist: numeric, waist circumference, in cm, 4.12% missing - anthropometric data is easy to collect, therefore only a small fraction is missing here, often missing together with BMI, the other anthropometric variable
BMI: numeric, body mass index, in kg/m2, 4.16% missing - anthropometric data is easy to collect, therefore only a small fraction is missing here, often missing together with waist, the other anthropometric variable
SBP: numeric, systolic blood pressure, in mmHg, 8.84% missing - in a realistic fashion, SBP is almost always missing together with DBP
DBP: numeric, diastolic blood pressure, in mmHg, 8.84% missing - in a realistic fashion, DBP is almost always missing together with SBP
FG: numeric, blood fasting glucose concentration, in mmol/dl, 5.84% missing - often missing together with other clinical variables
PPG: numeric, blood postprandial glucose concentration, in mmol/dl, 53.2% missing - in this simulated dataset, only less than half of the participants had postprandial glucose measurements
TC: numeric, blood total cholesterol concentration, in mmol/dl, 7.2% missing - often missing together with other lipids, TG and HDL-C
TG: numeric, blood triglycerides concentration, in mmol/dl, 7.48% missing - often missing together with other lipids, TC and HDL-C, due to the sensitivity of a hypothetical machine, values below 0.6 are set to -9, upon conversion from -9s to NAs, the missingness fraction is 10.6%
HDL: numeric, blood high density lipoprotein cholesterol concentration, in mmol/dl, 10.76% missing - often missing together with other lipids, TG and TC, due to the sensitivity of a hypothetical machine, values below 0.05 are set to -9, upon conversion from -9s to NAs, the missingness fraction is 13.72%
education: factor, primary school=1, secondary school=2, bsc degree=3, msc degree=4, phd degree=5, 7.16% missing - self reported education missing in a not random fashion, those with lower education are less likely to report their education status