Helping doctors and patients make sense of health statistics: towards an evidence-based society
published: Aug. 9, 2010, recorded: July 2010, views: 17608
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Collective statistical illiteracy is the phenomenon that the majority of people do not understand what health statistics mean, or even consistently draw wrong conclusions without noticing. For instance, few are aware that higher survival rates with cancer screening do not imply longer life, or that the statement that mammography screening reduces the risk of dying from breast cancer by 20% in fact means that 1 less woman out of 1,000 will die of breast cancer. I argue that statistical illiteracy (i) is common to patients, journalists, and physicians alike; (ii) is created by nontransparent framing of information that is sometimes an unintentional result of lack of understanding, but can also be an intentional effort to manipulate or persuade people; and (iii) is a consequence of the ongoing lack of efficient training in statistical thinking in the educational system.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !