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.

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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.  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

  1. 2.       General structure/format:

a)      Written presentation

b)       Clarity of argument

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