Biostatistics: Community Medicine


Introduction to Biostatistics provides an introduction to selected important topics in biostatistical concepts and reasoning. This course represents an introduction to the field and provides a survey of data and data types. Specific topics include tools for describing central tendency and variability in data; methods for performing inference on population means and proportions via sample data; statistical hypothesis testing and its application to group comparisons; issues of power and sample size in study designs; and random sample and other study types. While there are some formulae and computational elements to the course, the emphasis is on interpretation and concepts.

Introduction to Biostatistics

Descriptive Biostatistics, data presentation & summarization

Measures of central tendencies

Measures of Dispersion

Sampling Techniques

Statistical Inference

Epi-stat case scenario

Introduction to SPSS

Epi-stat Prob. Solving SPSS practical (1)

File editing and data entry

Hypothesis Testing

Statistical Tests -Part 1

Statistical Tests -Part 2

SPSS practical (2)

Application & analysis, interpretation of data

Correlation and regression

Epi-stat Problem Solving (2) – SPSS

SPSS practical (3) Univariant & bivariant analysis


Assignments:  (Click here to submit Assignment)

Assignment 1 

Assignment 2 

Assignment 3

Case Studies:

Case Study 1

Data Sets:

Low Birth Weight Study Data

Recommended Books:

Daniel, W. W., & Cross, C. L. (2014). Biostatistics: A foundation for analysis in the health sciences (10th ed.). Singapore: John wily & sons.

Field, A. P. (2013). Discovering statistics using IBM SPSS statistics (4th ed.) Sage Publishers