Question

One of the most prolific types of false positives in the medical field comes from breast cancer screenings (mammograms). In the United States, the rate of false positive mammograms is up to 18%. The null hypothesis would be that the patient does not have breast cancer. Describe type one and type two errors and their consequences in the context of breast cancer screenings. Discuss which one you think is more serious.

Answer 1

Type I and Type II errors in breast cancer screenings and their consequences

Step-by-step explanation:

In the context of breast cancer screenings, Type I error occurs when a patient is falsely diagnosed with breast cancer, leading to unnecessary anxiety and invasive testing. On the other hand, Type II error occurs when a patient with breast cancer is falsely diagnosed as not having the disease, potentially delaying necessary treatment.

While both errors have consequences, Type II error is considered more serious. Failure to detect breast cancer can prevent a patient from receiving timely treatment, which can have detrimental effects on their health and prognosis.

It is important to minimize both types of errors by improving the accuracy and reliability of mammogram screenings through advancements in technology and training of medical professionals.