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5 Written questions

5 Matching questions

  1. Approximately how many people live in the US?
  2. Prevalence
  3. bias
  4. Sensitivity
  5. Number of People Living in the US with HIV.
  1. a Proportion of people with a disease who have a positive test for the disease = true positives/(true positives + false negatives) p. 39
  2. b the proportion of persons in a defined population at a given point in time having the condition in question
  3. c a process at any stage of inference tending to produce results that depart systematically from true values.
  4. d 500,000-1,000,000
  5. e ...300,000,000

5 Multiple choice questions

  1. Def: Early detection of existing disease to reduce severity and complications
    Ex. Screening for cancer
  2. 11,700. Of these 11,700 known to have HIV, ~4,500 have AIDS. (This number with AIDS will probably not be asked since the term AIDS is somewhat subjective. The viral load limit that a person must have to be considered suffering from AIDS has been lowered in recent years.)
  3. variables describing a possible effect p. 5
  4. "the extent to which repeated measurements of a stable phenomenon by different people and instruments at different times and places get similar results" Other words for this are reproducability and precision. p. 20
  5. 7,000

5 True/False questions

  1. Pretest ProbabilityThe probability of disease after the test result is known.

          

  2. Attributable RiskThe absolute difference in the rate of events between the control and the intervention group. ( same as ARR)

          

  3. Case Control StudyAccording to answers.com, a case control study is a usually retrospective study in which individuals with and without a condition are examined and past medical history etc. is statistically analyzed for correlation.

          

  4. Absolute RiskThe probability of an event in a population under study. #new cases over a given period of time / # people in the group

          

  5. ConfoundersPatient characteristics that may affect the results a study it is trying to measure. They can decrease the validity of a study.

          

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