Scenario 3: In 2010, there were 2,515,458 deaths in the Unit…
Scenario 3: In 2010, there were 2,515,458 deaths in the United States, from all causes. The following is the distribution of deaths from specific causes amongst the 10 leading causes of death: Heart disease: 596,577 Cancer: 576,691 Chronic lower respiratory diseases: 142,943 Stroke (cerebrovascular diseases): 128,932 Accidents (unintentional injuries): 126,438 Alzheimer’s disease: 84,974 Diabetes: 73,831 Influenza and Pneumonia: 53,826 Nephritis, nephrotic syndrome, and nephrosis: 45,591 Intentional self-harm (suicide): 39,518
Read DetailsDr. Rodriguez was assessing the net sensitivity and specific…
Dr. Rodriguez was assessing the net sensitivity and specificity of two versions of his now famous R test for disease D. Disease D has a prevalence of 16% in the population. Test R1 has a sensitivity and specificity of .82 and .87, respectively. Test R2 has a sensitivity and specificity of .83 and .91, respectively. Given this information, what is the net sensitivity [answer1] and the net specificity [answer2] of the combined tests? Note, use the addition and multiplication rules to complete this problem, and assume simultaneous testing.
Read DetailsA researcher is testing a new drug developed to treat diabet…
A researcher is testing a new drug developed to treat diabetes. Participants are randomly assigned to a treatment and control group. Unfortunately, due to some severe side effects, a group of participants asks and are granted permission to be moved to the control conditions. This results in a Type I error as the drug appears to be more effective than it really is; the only participants taking the drug are the ones benefitting the most. To avoid a possible Type I error, the researchers could use which of the following designs:
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