Biostatistics for Public Health
2013/2014, Semester 1
Saw Swee Hock School of Public Health (Saw Swee Hock School of Public Health)
Modular Credits: 4
This module will introduce the entire biostatistical data analysis workflow in public health, from data management to data analysis and the interpretation of results, translating data into reliable and consumable information for knowledge discovery in public health. Particular emphasis on the application of regression models in public health without the mathematical details and the proficiency in using statistical software (SPSS) to perform data analysis, integrating biostatistics, computer applications and public health for improving the health of mankind.
Any of the following:
ST1232 Statistics for Lifesciences,
BN2102 Bioengineering Data Analysis,
DSC Business Analytics - Data and Decisions, OR
SC3209 Data Analysis in Social Research.
Please note that students are required to attend the Thursdays lab sessions from Week 1 onwards.
Workload Components : A-B-C-D-E
A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of lab hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week