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Quantitative-Data-Analysis

DESCRIPTION OF THE ASSESSMENT

The dataset for this assessment is called Aids2ann and contains annualized data on patients diagnosed with AIDS in Australia before 1 July 2001. The data contains 6014 observations on the following 9 variables:

Variables Description
state Grouped State of Origin
sex Sex of patient
diag Julian date of diagnosis (the number of days since 1970-01-01)
death Julian date of death or end of observation
status "A" (Alive) or "D" (dead) at the end of observation
T.categ Reported Transmission category
age Age(years) at diagnosis
year The year of observation (normal calendar)
outcome ‘1’ if the patient died in the year of observation specified in ‘year’, ‘0’ if survived

Tasks carried out:

Exploratory data analysis

  • Possible issues with dataset
  • Summary statistics of categorical and quantitative variables
  • Outlier detection

Pairwise associations between variables

  • Chi-squared test for independence between variables

Logistic Regression

  • Multiple logistic regresission
  • Likelihood Ratio Test (LRT)
  • Analysis of covariate

About

Data analysis piece of work using R as part of my MSc

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