Importance Improvements in cancer outcomes have led to a need to better understand long-
term oncologic and nononcologic outcomes and quantify cancer-specific vs noncancer …

Background: Map** breast cancer survival can help cancer control programs prioritize
efforts with limited resources. We used Bayesian spatial models to identify whether breast …

Purpose Breast cancer is the most commonly diagnosed cancer and the leading cause of
cancer-related deaths among women worldwide. However, the data on breast cancer …

COVID-19 impacted hospital systems across the globe. Focus shifted to responding to
increased healthcare demand while mitigating COVID-19 spread on their campuses …

Prostate cancer is the most common cancer after non-melanoma skin cancer and the
second leading cause of cancer deaths in US men. Its incidence and mortality rates vary …

Background Colorectal cancer (CRC) is common worldwide, with 140,250 diagnoses and
50,630 deaths estimated for the United States in 2018. Guidelines current to the most recent …

Objetivo: Identificar a variabilidade espacial da mortalidade por câncer de mama e colo do
útero e avaliar fatores associados à mortalidade por esses cânceres no município de São …

Background Limited information is available regarding the relative risks of cancer-specific
mortality and noncancer-specific mortality among long-term survivors with differentiated …

Background Patients with early‐stage breast cancer (BC) live long but have competing
comorbidities. This study aimed to estimate the effect of cancer and other causes of death in …

The introduction of spatial and temporal frailty parameters in survival models furnishes a
way to represent unmeasured confounding in the outcome of interest. Using a Bayesian …