![What additional information would help you determine if the Odds Ratios were significantly
different form the null hypothesis (OR = 1)? Select all that apply.
Group of answer choices
A. A 95% Confidence Interval
B. The study hypothesis
C. A full list of potentially confounding variables
D. The Standard Error or Variance of the Odds Ratios
Question 4
Which of the following measures of effect are statistically significant? Select all that apply.
Group of answer choices
A. Odds Ratio = 5.0, p-value = 0.04
B. Incidence Density Ratio = 2.0, 95% CI [0.9 - 3.1]
C. Attributable Risk = 0.5, 95% CI [0.1 - 1.1]
D. Population Attributable Risk = 0.1, 95% CI = [-0.1, 0.2]
E. Cumulative Incidence Ratio = 0.5, 95% CI = [0.1 - 0.9]
F. Odds Ratio = 20, p-value = 0.2](https://image.slidesharecdn.com/usethemodifiedabstractbelowtoanswerthefollowingtwoquestion-230323052835-3aa842aa/85/Use-the-modified-abstract-below-to-answer-the-following-two-question-pdf-2-320.jpg)
Use the modified abstract below to answer the following two question.pdf
- 1. Use the modified abstract below to answer the following two questions: OBJECTIVES: The human immunodeficiency virus (HIV) and M. tuberculosis co-infection is a major global challenge. It is not properly clear why some HIV-positive people are co-infected with tuberculosis (TB) while others are not. This study answered this question. METHODS: This case-control study was conducted in Tehran, Iran, in June 2004, enrolling 2388 HIV- positive people. Cases were selected from those who were co-infected with TB and controls from those without TB. Multiple logistic regression analysis was performed to assess the association between M. tuberculosis/HIV co-infection and several predictors. RESULTS: In this study, 241 cases were compared with 2147 controls. Sex, age, marital status, educational level, imprisonment, smoking, narcotic addiction, route of HIV transmission, previous TB infection, isoniazid preventive therapy (IPT), antiretroviral therapy (ART), and CD4 count were independently associated with M. tuberculosis/HIV co-infection. However, after adjusting for all other variables in the model, only the association between M. tuberculosis/HIV co-infection and the following predictors were of importance: imprisoned (OR=3.82), previous TB infection (OR=5.54). CONCLUSIONS: Conclusions: Several predictors are associated with M. tuberculosis/HIV co-infection, but, there are only a few indicators that significantly affect the risk of M. tuberculosis/HIV co-infection. It is estimated that a number of predictors of M. tuberculosis/HIV co-infection still remain unknown and require further investigations. Original Abstract: Molaeipoor L et al. Predictors of Tuberculosis and Human Immunodeficiency Virus Co-infection: A Case-Control Study. Epidemiol Health. 2014 Oct 30 Flag question: Question 2 Question 2 Is there enough evidence to conclude if imprisonment or prior TB infection might have caused co-infection with tuberculosis and HIV? A.Yes B. No Question 3
- 2. What additional information would help you determine if the Odds Ratios were significantly different form the null hypothesis (OR = 1)? Select all that apply. Group of answer choices A. A 95% Confidence Interval B. The study hypothesis C. A full list of potentially confounding variables D. The Standard Error or Variance of the Odds Ratios Question 4 Which of the following measures of effect are statistically significant? Select all that apply. Group of answer choices A. Odds Ratio = 5.0, p-value = 0.04 B. Incidence Density Ratio = 2.0, 95% CI [0.9 - 3.1] C. Attributable Risk = 0.5, 95% CI [0.1 - 1.1] D. Population Attributable Risk = 0.1, 95% CI = [-0.1, 0.2] E. Cumulative Incidence Ratio = 0.5, 95% CI = [0.1 - 0.9] F. Odds Ratio = 20, p-value = 0.2