Thanks for your input Kunal. I will need to do the SAS Statistics course to gain a better understanding.

Even before going on to the steps you have outlined, what data transformations would I need so that I can perform sound analyses on the data? I had compiled a list of some task sections in SAS Studio that I think are useful in data and statistical analysis generally. In addition, to what you have recommended do you think there are other tasks / analyses from the list below that might be of value:

**Data Tasks**

List Table Attributes, Characterize Data Task, Describe Missing Data, List Data, Transpose Data, Stack/Split Columns, Filter Data, Select Random Sample, Partition Data, Sort Data, Rank Data, Transform Data, Standardise Data

**Graph Tasks**

Bar Chart, Bar-Line Chart, Box Plot, Bubble Plot, Histogram, Line Chart, Mosaic Plot, Pie Chart, Scatter Plot, Series Plot, Simple HBar

**Statistics Tasks**

Data Exploration, Summary Statistics, Distribution Analysis, One-Way Frequencies, Correlation Analysis, Table Analysis, t-Tests, One-Way ANOVA, Nonparametric One-Way ANOVA, N-Way ANOVA, Analysis of Covariance, Linear Regression, Binary Logistic Regression, Predictive Regression Models, Generalised Linear Models, Mixed Models, Partial Least Squares Regression

**Power and Sample Size**

Pearson Correlation, Multiple Regression, Confidence Intervals, Tests of Proportion, t Tests, Cox Regression

**Multivariate Analysis**

Principal Component Analysis, Factor Analysis, Canonical Correlation, Discriminant Analysis, Correspondence Analysis, Multidimensional Preference Analysis

**Forecasting**

Time Series Data Preparation, Time Series, Exploration, Modeling and Forecasting

Appreciate your time.

Cheers,

Sandesh.