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The “CVD dataset” data set consists of a sample of 479 patients aged 40 and over drawn from patients in Norwich who agreed to take part in a GP’s survey 20 years ago. The GP measured various characteristics of a sample of the patients in her practice in 1998. Her practice is in a deprived area of Norwich.
The primary theme of the paper is The “CVD dataset” data set consists of a sample of 479 patients aged 40 and over drawn from patients in Norwich who agreed to take part in a GP’s survey 20 years ago. The GP measured various characteristics of a sample of the patients in her practice in 1998. Her practice is in a deprived area of Norwich. in which you are required to emphasize its aspects in detail. The cost of the paper starts from $279 and it has been purchased and rated 4.9 points on the scale of 5 points by the students. To gain deeper insights into the paper and achieve fresh information, kindly contact our support.
The “CVD dataset” data set consists of a sample of 479 patients aged 40 and over drawn from patients in Norwich who agreed to take part in a GP’s survey 20 years ago. The GP measured various characteristics of a sample of the patients in her practice in 1998. Her practice is in a deprived area of Norwich. Recently, the GP has come across the dataset again and linked it to whether the patients developed cardiovascular disease in the twenty years of follow up. The GP dropped patients who were missing any of these values.
Variable
Description
Coding
id
Patient ID number
sex
Sex
1 = male; 2 = female
age
Age (y) at baseline
totchol
Serum cholesterol (mmol/l) at baseline
sysbp
Systolic blood pressure (mmHg) at baseline
cursmoke
Whether patient was a current smoker at baseline
0 = no; 1 = yes
bmi
Body Mass Index (kg/m2 ) at baseline
socclass
Social class (Registrar General’s scale) at baseline
1 = professional […]
5 = unskilled
cvd
Developed cardiovascular disease (MI or stroke) during follow up
0 = no; 1 = yes
Is there a relationship between the “cvd” variable and the other variables listed above? You should consider all of the other variables, except the patient ID. Explore the dataset with CVD as the outcome, performing descriptive and inferential statistics where necessary. Write a report, of no more than 2500 words in length, describing the data, and presenting the results in the form of tables/ graphs. Discuss your findings, their implications and possible weaknesses of the dataset. Remember that it is optional for a marker to consult material found in appendices, so don’t put essential items there.
It is important to present your methods, results and discussion clearly, as if they were being written up for publication in a scientific journal, but with more description of the methods than in a published paper. Tables and figures should be clearly titled and neatly laid out. You should not just copy tables from SPSS ; you need to give descriptive titles, edit out unnecessary items and combine results from different commands where necessary. You are encouraged to cite some external references to put the findings in context.
Focus must be on:
1. Data analysis and presentation:
a) Analysis plan (you should describe your analysis plan at the start)
b) Descriptive analysis
c) Inferential statistics
d) Data presentation (tables/graphs)
e) Interpretation
2. General structure/format:
a) Written presentation
b) Clarity of argument
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