Who should attend
This course is suitable for those who have knowledge of the basic concepts in biostatistics, eg. presenting data using graphs and numbers, hypothesis test, 95% CI, ANOVA, non-parametric methods, chi-square analysis, relative risk (RR), odds ratio (OR), linear regression, logistic regression and cox regression.
What you will learn
On completion of this course participants will be able to:
- Be familiar with basic SPSS functions and its tools. These functions and tools will enable students to proficiently open and create SPSS data files.
- Present data using SPSS generated graphs and summary statistics.
- Conduct an independent and paired sample t-test to analyze data, where variable is collected on a continuous scale.
- Conduct a One-Way ANOVA to compare more than two groups where the test variable is collected on a continuous scale and the data in each group follows the normal distribution.
- Analyse data when normality assumption for data does not hold, ie. the data does not follow the normal distribution. Thus the data can be continuous, discrete or ordinal but asymmetric. The statistical methods used to analyse such data are collectively known as Non-Parametric Methods or distribution free method.
- Evaluate the effect of exposures on the outcome where outcome is continuous. However, exposure could be numerical or categorical or a combination of both.
- Evaluate the association between an exposure and an outcome variable, where they are either binary or multinomial (more than two categories).
- Evaluate the effect of exposures on the outcome where outcome is categorical BINARY and exposure could be numerical and/or categorical.
- Evaluate the effect of exposures on the outcome where outcome is categorical Binary and time dependent (time to event data) or survival analysis.
- Manage data (entering, labelling, creating, cleaning, etc.)
Program structure
Day 1
- Familiarizing Yourself with SPSS
- Describing Data Using Graphs and Summary Statistics
- Analysing Data Using Independent and Paired Samples t-Test
- Analysing Data Using Analysis of Variance ANOVA
- Analysing Data Using Nonparametric Methods
- Correlation and Linear Regression Analyses
Day 2
- Correlation and Linear Regression Analyses
- Logistic regression
- Chi-square analysis
- Survival analysis
- Data creation, cleaning and management
Testimonials
Baki has a very good way of explaining complex concepts in easy to understand chunks. Thank you!
Very good small group format. Going through questions and examples related to biostats was very relevant. Very attentive teachers.
Very, very helpful – a lot covered in two days.
