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Lab F - Key Berkeley PH 150A
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  • Title: Lab F - Key
  • Type: Notes
  • School: Berkeley
  • Course: PH 150A
  • Term: Spring

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PH 150A Introduction to Epidemiology and Human Disease UNIVERSITY OF CALIFORNIA, BERKELEY SCHOOL OF PUBLIC HEALTH LAB F: Sampling, Summarizing Data and Introduction to Statistics Due: Week of March 17-21 For this assignment, download and read the following study design articles from the blackboard website. Type your answers. Al-Delaimy WK, Manson JE, Willett WC, Stampfer MJ, Hu FB. Snoring as a risk factor for type II diabetes mellitus: a prospective study. Am J Epidemiol. 2002;155:387-393. Turabelidze G, Lin M, Wolkoff B, Dodson D, Gladbach S, Zhu BP. personal hygiene and methicillin-resistant staphylococcus aureus infection. Emerg Infect Dis. 2006;12:422427 Rose A, Roy S, Abraham V, et al. Solar disinfection of water for diarrhoeal prevention in southern India. Arch Dis Child. 2006;91:139-141. Part I: General questions on the lectures 1. What is statistical inference? The development of a generalization based on sample data. 2. What is the purpose of performing statistical tests? To test whether the observed associations are caused by chance alone. It refers to the alpha, which is the probability that you would observe the finding or greater if the null hypothesis (i.e., no association) were true. 3. The following are CD4+ counts of 10 people in a study on HIV: 230, 260, 415, 319, 415, 415, 252, 420, 500, 516 Calculate the following values: Mean: (230+ 260+ 415+ 319+ 415+ 415+ 252+ 420+ 500+ 516)/10=374.2 Mode: 415 Median: 415 Range: (230,516) 4. Define statistical power. Probability of concluding a difference exists when it does. If a study has adequate statistical power, we can correctly claim that two groups are different when they really are. 5. If I want to increase the power of my study I would increase/decrease (circle one) my sample size. Part II: Relative Risks Al-Delaimy WK, Manson JE, Willett WC, Stampfer MJ, Hu FB. Snoring as a risk factor for type II diabetes mellitus: a prospective study. Am J Epidemiol. 2002;155:387-393. Use Table 2 to answer the following questions. 1. Calculate the incidence density in the non-snorers. 237/176,679 *1000 = 1.34 cases per 1000 person-years 2. Calculate the incidence density in the occasional snorers. 1,297/428,686 * 1000 = 3.03 cases per 1000 person-years 3. Calculate the relative risk of type II diabetes in occasional snorers compared to non-snorers. RR = 3.03/1.34 = 2.26 And for review. . . 4. List two potential sources of bias (systematic error) in this study. Information bias (reporting bias) - due to self-reported snoring Selection bias Only 83,476/121,700 (69%) of the original cohort returned the 1986 questionnaire. These women may have differed from the original cohort, and therefore the results of the study may not be generalizable to the entire Nurses' Health Study or nurses in general. Part III: Odds Ratios Turabelidze G, Lin M, Wolkoff B, Dodson D, Gladbach S, Zhu BP. personal hygiene and methicillin-resistant staphylococcus aureus infection. Emerg Infect Dis. 2006;12:422-427 Look at Table 2, specifically the "case-patients" and the controls. 1. Use the table to answer the following: a. How many cases reported "yes" to "share any product? .60*30=18 b. How many cases reported "no" to "share any product? .40*30=12 c. How many controls reported "yes" to "share any product? .375*80=30 d. How many controls reported "no" to "share any product? .625*80=50 2. From the answers above, fill in the following 2x2 table: Sharing Any Products YES NO Total Cases (Patients) 18 12 30 Controls 30 50 80 Total 48 62 110 a. Among the cases, what is the ratio (odds) of "sharing any product"? 18/12 = 1.5 b. State this measures in terms of "odds." Among women with MRSA, the odds of them sharing any product is 1.5. c. Among the controls, what is the ratio (odds) of sharing any product? 30/50=0.6 d. What is the odds ratio? Interpret the odds ratio. 1.5/0.6=2.5 The odds of sharing any product is 2.5 times greater in cases compared to controls or the odds of MRSA is 2.5 times greater among those who shared any products. e. If the authors had found no association of sharing any product with MRSA, what would the odds ratio have been? 1.0 f. In table 2, the authors report an adjusted odds ratio of 1.79 for this association (it is slightly different than the value you calculated because the authors adjusted for other risk factors such as age, race, educational level, overweight...). Interpret the 95% confidence interval for this odds ratio. There is a 95% probability that the confidence interval 0.64 to 7.39 contains the true odds ratio of MRSA associated with sharing any product. In this case, because the 95% CI crosses one, it is not statistically significant. Part IV: Statistical Tests Rose A, Roy S, Abraham V, et al. Solar disinfection of water for diarrhoeal prevention in southern India. Arch Dis Child. 2006;91:139-141. 1. The authors evaluated whether solar disinfected water reduced the incidence, duration and severity of diarrhea in children. To do this they performed a statistical test. For the incidence of diarrhea, what was the null hypothesis for this test? H0: There was no difference in incidence of diarrhea between the group that received solar disinfected water and those that did not received the disinfected water. 2. What was the alternative hypothesis for this test? HA: There was a difference in incidence between the group that received the solar disinfected water and those who did not receive the treated water. 3. What was the p-value for the test to examine the incident cases (i.e., number of children who developed diarrhea)? [Hint: It is not in the table.] Interpret the p-value. P=0.001 The probability of observing the difference or a greater difference between the two groups is .1% if no difference existed (i.e., if the null hypothesis was true). 4. Given the p-value, would you conclude that there is a true difference between the incidence of diarrhea between the two groups? Why? Yes, since the p-value is very small (<0.05), meaning that it is unlikely that the observed difference is due to chance finding.

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