Basic principles of managing interpreting and reporting data

This is a paper that focuses on understanding the basic principles of managing interpreting and reporting data. The paper also analyzes the appropriate statistical analyses of health data.

Basic principles of managing interpreting and reporting data

Learning Outcomes to be assessed

Firstly, understand the basic principles of managing, interpreting and reporting data.

Secondly, interpret the results of basic statistical analyses and define key terms used in them.

Thirdly, select and perform appropriate statistical analyses of health data.

Fourthly, produce summaries of data held on computer.

Lastly, demonstrate transferable data management and analysis skills.

Details of tasks
This portfolio comprises of 3 tasks. Please complete all 3 tasks for submission. Additionally, the word count in bracket are only to serve as guide, you can change this but ensure no more than 2,400 words in total.

Task 1

Firstly, select on 4 (four) quantitative primary research articles that are relevant to statistical analysis in Public Health relating to any Public Health topic of your choice.
Secondly, outline the aim of the study, the research design, critique the analysis used (total 1000 words).

Task 2
Choose any four of these terms to explain (total 800 words).
1.         Confounding
2.         Confidence interval
3.         Case-control study
4.         Cohort study
5.         Hypothesis testing

Data analysis

Task 3
You are to analyse the data 145 presented on Moodle for this task, make clear justifications for statistical tests and also summarise your analysis (600 words).
Task 3 Data analysis
Additionally, you are to analyse the data presented, make clear justification for the statistical test and summarise your analysis (600 words).
Label this task as Task 3 in your assessment submission.
1.      Firstly, a cruise ship from Singapore to the UK carrying 600 people was quarantined for possible infection with a deadly virus. All 600 people were tested for the virus, 150 of these people tested positive for the virus.
I.            Estimate the prevalence of the virus in the people on the cruise ship and provide 95% confidence level for the estimate.

2.      Secondly, 60% of the people on the cruise ship wore protective face mask throughout their time on the ship, 15% of these people tested positive to the virus.
I.            Construct a well labelled two-way table for the data derived from the 600 people on the cruise ship.
II.            Estimate the odds ratio, risk (rate) ratio, risk (rate) difference for those who did not wear face mask on the ship compared to those that wore the face mask.
III.      A statistician performs a 2 test and obtained a p-value of 0.005 on those that wore and those that did not wear the face mask, what does this mean?

Data analysis

3.      Thirdly, face mask is now a very scarce commodity in Singapore, it was suggested that families with higher socio-economic status are more likely to have access to face mask and are more likely to get immediate treatment. Families were grouped into three socio-economic categories.
I.            Which statistical technique to examine the association between the use of face mask and the virus infection while taking the difference in socio-economic status into consideration?
II.            Adjusting for socio-economic status among the people, will the adjusted estimate be closer to the null hypothesis or further from null hypothesis than the unadjusted estimate from 2. (II)? Give explanation for your answer.

0 replies

Leave a Reply

Want to join the discussion?
Feel free to contribute!

Leave a Reply

Your email address will not be published. Required fields are marked *