Sunil K Dhar, Farid Kianifard
Teaching statistics to clinical research staff in a pharmaceutical company
Pharmaceutical statistics
rectal cancer rc poses significant global health challenge causing substantial morbidity mortality study aims investigate survival rates rc patients identify factors influence survival study considers demographic characteristics tumor features treatment received factors consideration retrospective analysis conducted medical records 593 rc patients data collected comprehensive review medical records conducting telephone interviews survival rates estimated using life table method subgroup comparisons performed using logrank test cox regression analysis utilized assess independent associations rc survival time various covariates study cohort comprised 593 rc patients predominantly male representation mean age diagnosis 5818 years majority patients 786 underwent surgical interventions median age symptom onset diagnosis 58 59 years respectively survival rates 1st 3rd 5th 10th years estimated 85 59 47 36 respectively statistical analysis revealed several significant prognostic factors including age education symptoms cancer stage multivariate cox proportionalhazards analysis advanced regional stage hr 154 95 ci 113208 presence metastasis hr 373 95 ci 249558 age 70 hr 165 associated higher risk mortality given alarming prognosis rc observed study area significant delay symptom onset diagnosis crucial address issue potentially improve survival rates rc patients