Distribution Patterns of Integrated Anxiety Rates in Cancer Patients Revealed by Statistical Tools

This article presents research results that show previously unknown patterns of state anxiety rate distribution in patients with malignant neoplasms undergoing antitumor therapy. Statistical methods have shown that distribution type changes from bimodal to unimodal during diagnosis and treatment and returns back to a bimodal pattern once clinical remission is achieved. As a result, we have come to an important conclusion that rates in all examined samples are not normally distributed, which places certain limitations upon the use of statistical methods. Statistica 6.0 package and dip.test in the R language were used for performing statistical tests.