Bio Statistics, STAT- 412

Introduction

The basic aim of this course is to highlight the advance applications of probabilistic approaches in the concern of statistical paradigm. Course explores the importance of risk factors and effective decision making strategies.  This course also classified according to their metric requirements (i.e., metric level, commensurability across dimensions, and lexicographic ordering) in the system, are given. A brief introduction to process tracing techniques is followed by a review of results reported in process tracing studies of decision making. 

Learning Outcomes

​At the completion of course, the student will be able to

  • Understand and explicit the variables relating to biological sciences.
  • Collect, present, analyses the data relating to biological and health sciences as well as interpretation of results.
  • Carry on research work in above mentioned fields.

Recommenced Books

1. Zar, J. (2000) “Bio Statistical Analysis” 5th Edition, John Wiley and Sons.

2. Shoukri, M.M & Pause, C.C. (1998). “Statistical Methods for Health Sciences" 2nd Edition, CRC press, Florida

 

Evaluation Criteria

 

Sessional: 20

Assignment: 10

Presentation: 10

Mid Term Test: 30 

Final Exam: 50

Time Table Reg: Tuesday, Friday 10:00 - 11:30 am

                    SS: Tuesday  12:30 - 02:00 pm, Wednesday 02:00 - 03:30pm

 

Week

                                           Topics and Readings

1 - 2

Definition of Bio-statistics, vis-à-vis the type of variables and observations in biological sciences

3 - 4

Health and medical sciences, Uniqueness in terms of behavior of variables their domain, and units

5 - 6

Categorical. Numerical and censored data

7 - 8

Population, Target populations and samples; Role of sampling in bio-statistics, Size of samples of various types of studies

9 - 10

Proportions, rates and rations; incidence, prevalence and odds. Distributional behavior of biological variables (Binomial, Poisson and Normal)

11- 12

Role of transformation for analysis of biological variables

13 - 14

Probit and Logit transformations and their analysis, p values, its importance and role

15 - 16

Confidence interval in simple and composite hypothesis testing
 

Course Material

Other Courses by Mr. Muhammad Zubair