1. Georgi Iskrov, MBA, MPH, PhD Department of Social Medicine
Applied statistics
Georgi Iskrov, MBA, MPH, PhD
Department of Social Medicine

2. Step 1 Check and code data (I)
Metric variables:
are all values OK?
are there any outliers?
Categorical variables
transform text input into numerical data
category of “Other”: error or important insight?
Consistency and validity of data

3. Step 1 Check and code data (II)
MS Excel
SPSS:
Variable view
Name
Type
Lables
Missing
Measure
Data view

4. Observation and comparison
Next Step
Before you move on, what is the aim of research?
Observation and comparison
Define specific variables for cross-comparison:
Treated vs Non-treated
Exposed vs Non-exposed
Male vs Female
Children vs Adults

5. Step 2 Describe data Metric variables: Mean, median
Standard deviation, range
Standard error of the mean
Categorical variable:
Proportion
Standard error of proportion
Tables
Diagrams and charts

6. Step 3 Compare data Look for some difference Look for some association
Means
Proportions
Parametric vs Non-parametric tests

7. Step 3 (II) Modelling and forecasting
Regression analysis
Survival analysis
etc

8. Step 4 Disseminate your findings
Conference posters
Conference presentations
Scientific papers
Indexed in PubMed
Thomson Reuters Impact Factor