Applying Factor Analysis to Study the Most Likely Factors Lead to the Osteoporosis Disease

The application of Biostatistics in biological and medical fields has shown a great contribution extremely benefit in analyzing different types of datasets. The developed statistical principles and techniques in the analysis have helped the researchers in the biology and medicine fields to reach to impressive results and beneficial conclusions. Recently, the Osteoporosis disease has taken a considerable interest from the medical and biological researchers. In this paper, a medical dataset related to this disease is analyzed using Factor Analysis via Principle Component approach. This statistical technique works to make a reduction of the insignificant explanatory variables and gives just main effected factories on the Osteoporosisdisease. The dataset used in this paper represent 180 real records selected randomly from the Osteoporosis patient files in Benghazi Central Hospital. The considered main variable in the statistical analysis is a rank variable represent the diagnosis patient state. The results achieved after this analysis show the main most likely factors lead to Osteoporosisdisease. The Vitamin D deficiency and patient gender have been found the most likely factors lead to this disease.