Hypothesis Statistical Analysis of Clinical Trials Assignment

Assignment Task

Instructions

Please note: this assessment task must be all your own work. Please do not discuss questions and answers in detail with your fellow students.

Assignments must be submitted in a Microsoft Word document or an editable pdf. 

Some of the questions require calculations using Stata. Where you have used Stata for calculations, you should copy the Stata commands and output from the Stata results screen and paste them into your assignment so that the assessor can see how you have derived your answer. Note: this Stata output is required in addition to your answer to the question. Simply pasting in the Stata output will not be considered an adequate answer on its own.

Students should ensure that they keep a spare copy of their work

Questions

The table below presents the results of a clinical trial to test the effectiveness of a new drug and existing drug in reducing the duration of symptoms for malaria. One sample of patients was given drug 1 and another sample was given drug 2. Both samples had their symptom duration recorded. The aim is to see if the new treatment (drug 2) leads to a different duration of symptoms than the existing drug (drug 1).

1. Calculate an estimate and 95% confidence interval for the mean malaria symptom duration for each of drug 1 and drug 2. Cite your answers to 1 decimal place. (8 marks)

As part of this answer you should:

• Specify which probability distribution you will use and demonstrate why you can use it with these data (hint: you should use qnorm plots here).
• Cite the estimates and confidence intervals to 1 decimal place.
• Give an interpretation of the confidence intervals in words.

2. What do these confidence intervals tell you about the mean symptom duration for drug 1 and drug 2? 

3. Test the hypothesis that the mean symptom duration for drug 1 is different to the mean symptom duration for drug 2, stating the test statistic to 1 decimal place. As part of your answer you should

• State what is the appropriate statistical test to use and why.
• Correctly report and interpret the results of the hypothesis test.
• Can repeat the ttest from question 1 or refer to it  

4. A randomised control trial tests the effectiveness of a new intervention in reducing hospital length of stay for patients with a given disease that requires surgery. The hospital length of stay (days) was recorded and the value (cost) of length of stay estimated in AUD before the intervention and after the intervention. The hospitalisation cost data consists of a sample of 220 and 3 variables – personal ID (pid), cost before (before) and cost after (after). The data is in a spreadsheet called hospitalisation cost.csv. These are synthetic data, but you may reference them in your answers as coming from assignment 2 data: hospitalisation cost.

• Calculate the appropriate estimate of the mean hospitalisation cost and its associated 95% confidence interval before the intervention and after the intervention. Include your stata commands and results 
• Using evidence from the mean and associated 95% confidence interval, does our data provide any evidence whether the new intervention made a difference to the average hospitalisation cost?

This Statistics have been solved by our PhD Experts at My Uni Paper. Our Assignment Writing Experts are efficient in providing a fresh solution to this question. We are serving more than 10000+ Students in Australia, the UK, and the US by helping them to score HD in their academics. Our Experts are well-trained to follow all marking rubrics and referencing styles.

Be it a used or new solution, the quality of the work submitted by our assignment experts remains unhampered. You may continue to expect the same or even better quality with the used and new assignment solution files respectively. There’s one thing to be noticed you could choose one between the two and acquire an HD either way. You could choose a new assignment solution file to get yourself an exclusive, plagiarism (with free Turnitin file), expert quality assignment or order an old solution file that was considered worthy of the highest distinction.