Biostatistics (STAT-6224)

Introduction to Course

Statistics is the science of conducting studies to collect, organize, summarize, analyze and draw conclusions from data. Statistics is a group of methods used to collect, analyze, present and interpret data and to make decisions. Biostatistics is the branch of biological science which deals with the study and methods of collection, presentation, analysis and interpretation of data of biological research. In biostatistics, statistical methods are applied to solve biological problems.

The aim of the course is to describe the basic concepts and knowledge of biostatistics. This course deals with method of summarization and description of data, averages, dispersion of data. This course provides the knowledge of basic experimental design including the layout and analysis of different designs, tests of significance and introduction to comparing of means. 

Learning Outcomes

After successfully completing the course, students will be able to:

  • Understand the basic concepts of descriptive statistics and experimental design
  • Demonstrate the ability to collect and present the data
  • Exhibit skills in analysing data and interpreting the result

 Week

  Contents

 Books with Page No.

1

Introduction to biostatistics, types, Population and samples

 Biostatistical Analysis (16-19)

2

Presentation of data (frequency distribution)

 Biostatistical Analysis (1-14)

3

Graphical representation (Graphs and charts)

 Introductory Biostatistics (62-70)

4

Measures of central tendencies (Arithmetic mean, median, mode)

 Biostatistical Analysis (21-30)

5

Measures of dispersion (Variance, standard deviation, mean deviation)

 Biostatistical Analysis (33-46)

6

Standard distribution (Binomial distribution)

 Introductory biostatistics (133)

7

Poisson and Normal distribution

 Introductory biostatistics (136 & 120)

8

Calculations of Measures of central tendency and dispersion by using MS Excel

 MS Excel

9

Basic Experimental design (Principles of experiment)

 Notes from google

10

Planning of experiment, Replications and randomization, Observational studies

 Notes from google

 

11

Layout and analysis of completely randomized design (CRD)

 Biostatistical Analysis (190)

12

Randomized complete block design and Latin square design

 Biostatistical Analysis (270-280)

13

Factorial design, treatment comparison

 Biostatistical Analysis (296)

14

Tests of significance (T-test, Chi square and F-test)

 Biostatistical Analysis (190)

15

Introduction to comparing of means, ANOVA

 Biostatistical Analysis (263)

16

Construction of graphs and charts, Tests of significance by using MS Excel

 MS Excel

Distribution of Marks

Mid Exam:               30

Final Exam:             50

Sessional(Assignments, Presentation, Participation, Attendance, Quizes)             20
 

Books

"Biostatistics" (with manual on software applications) by Muhammad Hanif and Munir Ahmad

"Biostatistical Analysis" by Jerrold H. Zar

"Introductory Biostatistics" by CHAP T. LE 

Time of Class Meetings

Monday, Tuesday & Thursday:  8:00-9:00 am

 

Course Material

Other Courses by Ishrat Fatima