Missing Value Imputation for Accelerometer Data
Missing Value Imputation for Accelerometer Data
Daily Activity Plot
Missing Value Imputation for Accelerometer Data
Create a Missing Flag Matrix
Imputation by PMM under ZIP model.
Imputation by PMM under ZIPLN model.
Imputation by Bayesian ZIPLN model.
Computing Missing Rate
Select the Valid Days
Include or Exclude Subjects by Criteria
Proportion of Wearing over Time
We present a statistical method for imputing missing values in accelerometer data. The methodology includes both parametric and semi-parametric multiple imputation under the zero-inflated Poisson lognormal model. It also offers several functions to preprocess accelerometer data before imputation. These include detecting wear and non-wear time, selecting valid days and subjects, and generating plots.