1) The following table reports the mean scores on the LGBT Knowledge scale.
a. What type of data analysis was done?
b. Why did they select this method?
c. What is the mean difference between the pre and post-test?
d. Interpret the results shown in this Table. (5 points)

2. What are the advantages of using a crossover study design? (1 points)
3. You are hired as a consultant to go to Tahiti to decrease the incidence of falls from 10% in 2020 to 20% by 2025
   a. What would your sample size need to be to detect this difference? (5 points) . Please be sure to describe exactly what you did. Hint – this is looking at proportions.
   b. What type of data analysis will you do, and why? (2 points)
4. Why do we use Cronbach Alpha? (1 points)
5. You are planning to do a randomized clinical trial and trying to decide on the sample size. In addition, to an alpha of 0.05, Beta = 90%, what will be your effect size for the following? Which study will you be more likely to conduct and why? (5 points)
   a) Non-inferiority study
   b) Superiority study
6. The following tables and figure are the results of a retrospective analysis of cancer mortality among Persons with Diagnosed HIV (PWDH) in New Jersey from 2000-2018. Total points for this question (25)
   a) Describe the types of cancers that affected PWDH from 2000-2018 (5 points)

Table 1: Cancer Mortality by Sex, New Jersey, 2000-2018
Mortality Cause (ICD10 Code) Males
N (%) Females
N (%) Total
N (%)
Oral (C05-06, C10-11,C14, C32) 27 12 39
Liver (C22) 41 13 54
Stomach/Pancreas (C16, C25) 24 8 32
Ano-colorectal(C18-21) 51 17 68
Lung (C34-35) 103 40 143

Female Breast (C50) 29 29
Cervix (C53) 19 19
Prostate (C61) 15

Hodgkins Lymphoma (C81) 22 7 29
Non-Hodgkins Lymphoma (C83, C85) 308 101 409
Kaposi Sarcoma (C46) 85 6 91

Other 122 59 181
Total 1109

b) Interpret the findings in Table 2 (5 points)
Table2: Top Five Causes of Cancer by Period, 2000-2019
2000-2004 2005-2009 2010-2014 2015-2019
Rank Cause (n, %) Rank (n,%) Rank Cause (n,%) Rank Cause (n,%)
1 NHL(168, 57) 1 NHL(123, 56) 1 NHL(81, 52) 1 NHL(37, 40)
2 Lung (53,18) 2 Lung (44,20) 2 Lung (22,14) 2 Lung (24, 26)
3 KS (48,16) 3 KS (21,10) 3 ACR (20,13) 3 ACR (13,14)
4 ACR (14,5) 4 ACR (21,10) 4 Liver (19, 12) 4 Liver (10, 11)
5 Liver (13,4) 5 Liver (12, 4) 5 KS (14, 9) 5 KS (8, 9)
c) NHL: Non-Hodgkins Lymphoma, KS: Kaposi’s Sarcoma, ACR: Ano-Colorectal,

d) Interpret the findings in Figure 1 (5 points)

e) What are your conclusions? Hint – (A mini-lit review may be helpful) (5 points)
f) What are your recommendations to the St Joseph’s HIV clinic (Mini-lit review may help) (5 points)

7. Please use attached article to answer this question. Combine the data from study 1 and study 2- using Table 1 to answer the following
   a) Complete the 2 x 2 table (5 points) Louse free at all visits Total
   Medication Yes No
   Abametapir
   Vehicle
   Total

b) Calculate and interpret the Odds Ratio for being louse free at all visits to day 14. (5 points)
c) What is the i) mean difference for NOT having lice at day 14, comparing those who received Abametapir with those who did not (1 point)
d) What is the i) mean difference for NOT having lice at day 14, comparing those who received Abametapir with those who received the vehicle? (1 point)
e) Calculate and interpret the relative risk of having lice at day 14 (5 points)

Louse free at all visits    Total 

Medication