Statistical Consulting – Data Management
Our statistical consulting team can detect and correct corrupt or inaccurate records in your database. The data cleaning process includes data auditing, workflow specification, workflow execution, post-processing, and control. Popular methods include parsing, data transformation, duplicate elimination, and statistical methods. Data analysis using mean, standard deviation, range, and clustering algorithms can reveal unexpected and erroneous values.
Our statistical consultants can examine any standardized residual greater than 3 in absolute value, Hat element greater than 3p/n (p=k+1, k degrees of freedom), a Cook’s distance > 1, and Mahalanobis’s distance for a case. They can run Outlier Analysis such as a run-sequence plot, a scatter plot, a histogram, and a box plot.