Statistical Hypothesis Testing of Patients‘ Risk-Score Assessment Test For Human Papillomavirus (HPV)

摘要

The interpretation of any medical or epidemiological study is made simple using the quantitative approach known as statistical hypothesis testing. This study applied this approach to test the significance level of a hypothesis been investigated among some specific patient’s sample size collected with the use of a developed risk-score assessment tool, known as the Human papmomavirus (HPV) Assessment Test (HAT) tool. The sample under investigation was examined using key methods and properties (approaches) to ease the interpretation and presentation of the patient’s riskscore generated by the HAT tool. Averages, standard deviation, correlation, and probability are key approaches considered for all the patient’s data interpretation, visualization, and presentation in this article. The dataset used included both male and female patients, age, marital status, and sexual behavior. Using the HAT tool, calculated the the risk-score for each patient (which was between 0-100%) based on the patient’s level of risk.