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Please find attached the assignment and corresponding data. Document Preview: MPH5041, 2013 Biostatistics for Clinical and Public Health Research Test 2, Due April 14, 2013 by 11:59pm Modules Covered:...

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MPH5041, 2013 Biostatistics for Clinical and Public Health Research Test 2, Due April 14, 2013 by 11:59pm Modules Covered: This Test covers Modules 1-3. All questions must be answered using statistical knowledge in Modules 1-3 only. Required data analysis for Question 1 (SPSS or any other statistical package can be used). Assignment General Instructions: This test is worth 5% of total marks for this subject. It will be marked out of 50 marks. Please explain the results in plain/simple English (if applies). Word Limit: Maximum 1200 Words. Please download the “Test 2” and answer the questions within the WORD LIMIT stated above and then upload the PDF file of the completed test by April 14, 11:59pm. You must have a COVER PAGE, PRINT YOUR NAME, no sign required. See the Section “Assignment and Test” on Moodle for cover page. Instructions for Submission: Please don’t add the data description or original tables/graphs given in the Questions to your “SOLUTION”. Upload the completed TEST 2 onto Moodle under the “Test 2 Drop Box” section. Extension: Students seeking an extension should contact Baki Billah before the due date. Please note that an extension will not be granted without valid grounds (e.g., illness with medical certificate). Important Note: If you submit more than one file as an attachment, only the first file will be assessed and rest of the files will be ignored, sorry! Please use solution for Test 1 as a guideline for Question 1. PLEASE DON’T discuss any of these questions on Discussion Forum. 1Data Description: Consider a study that was conducted to investigate the risk factors for mortality in cardiac surgery patients. Data was collected on Cardiac Surgery patients in public hospitals in St Martine Island from 2005 to 2011. The risk factors for 30-day mortality (patients died within 30-day of cardiac surgery) along with short name and their numerical codes (where necessary)...

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Answered Same Day Dec 22, 2021

Solution

Robert answered on Dec 22 2021
120 Votes
Question 1 [25 marks]: Summarize the descriptive statistics for each of the variables listed in
Table 1 by mortality status and discuss the results. Note: Please do not copy and paste the SPSS
output; must summarize all the results in a single table in created in WORD (Hint: present list of
variables in Column 1 and summary statistics in subsequent columns).
The descriptive statistics for each of the variables are given in the following table:
Descriptive Statistics
N Minimum Maximum Mean Std.
Deviation
Skewness Kurtosis
Mortality Status 999 0 1 0.02602 0.15929 5.96293 33.62385
Gender 999 0 1 0.70971 0.45412 -0.92543 -1.14587
Diabetes status 999 0 1 0.26827 0.44338 1.04763 -0.90429
Preoperative dialysis 999 0 1 0.01001 0.09959 9.85910 95.39288
Ejection Fraction
Estimate
841 0 3 0.72295 0.91576 1.03234 -0.00358
Urgency of Surgery 998 0 3 0.43787 0.60394 1.15664 0.84356
Age 999 16.9856 90.9377 65.36771 12.99551 -0.95602 0.98712
Length of hospital stay 999 0 374 13.16827 17.86068 10.8462 181.6937
Type of surgery 999 0 3 0.74875 1.09009 1.14304 -0.21784
Body mass index 998 16.6493 75.1157 27.71254 5.13369 1.42611 8.04726
Cu
ent smoking status 999 0 1 0.11611 0.32052 2.40015 3.76827
The variable Mortality Status is a binary variable with mean near zero and much higher standard
deviation. This indicates that most of the patients survived within 30-day of cardiac surgery. The
distribution of the Mortality Status is heavily right skewed and leptokurtic. The variable Gender
is also a binary variable with mean near 1 and much higher standard deviation. This indicates
that most of the patients are male. The distribution of the Gender is left skewed and platykurtic.
The variable Diabetic status is also a binary variable with mean as 0.26 which indicates that
many patients do not have diabetes. The distribution of the Diabetic status is right skewed and
platykurtic. Again the variable Preoperative dialysis is a binary variable with mean near zero
which indicates that most of the patients do not required preoperative dialysis as they do not have
diabetes. The distribution of the Preoperative dialysis is right skewed and leptokurtic. The
variable Ejection Fraction Estimate is a ordinal variable with mean near 1 with high standard
deviation. The distribution of the Ejection Fraction Estimate is right skewed and platykurtic. The
variable Urgency of Surgery is a ordinal variable with mean near 0.5 with high standard deviation.
This indicates that the Urgency of Surgery is near elective. The distribution of the Urgency of
Surgery is right skewed and leptokurtic. The variable age is a ratio variable with mean near 65
with high standard deviation. This indicates that the most of the patients’ age near 65 with a
variability of 13 years. The distribution of the age is left skewed and leptokurtic. The variable
Length of hospital stay is a ratio variable...
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