Stat 575

Course Outline
STAT 575: Biostatistics
 
Instructor: Prof. Khalaf S. Sultan
 
Time:        Monday 11:00am - 2:00pm
 
Office#:   2B20 Building #4, Phone  4676263
         E-mail       ksultan@ksu.edu.sa,    
                          
Recommended Book:
 

  1. Rosner, B. (2015). Fundamentals of Biostatistics, 8th  edition, Cengage Learnin.
  2. Daniel, W., Cross, c. and Pstat, p. (2013). Biostatistics: A Foundation for Analysis in the Health Sciences. 10th edition. Wiley.

 
 

Topic No of
Weeks
Introduction to Bio-Statistics, types of data and graphical representation 1
Descriptive statistics:
Measures of Central tendency- Mean, median, mode, Measures of dispersion, Range, Standard deviation, coefficient of variation.
Calculating Measures from an Ungrouped Frequency Table Approximating Measures from Grouped Data.
1
Basic probability, conditional probability, concept of independence, Sensitivity, Specificity etc, and Bayes Theorem for predictive probabilities. 2
Some discrete probability distributions: cumulative probability distribution, Binomial, and Poisson –their mean and variance 1
Continuous probability distributions: Normal distribution, Standard normal and t distributions. 1
Sampling distribution of one and two sample means and one and two proportions. 1
Statistical inference: Point and interval estimation, Type of errors, Concept of P-value, testing hypothesis about one and two samples means and proportions including Paired data – different cases under normality. 2
ANOVA: 1 and 2-way ANOVA. Methods for multiple comparisons. 1
Categorical data analysis and chi-square tests 2
Simple and Multiple Regression Analysis, Best regression(Forward, Backward, stepwise) 2
Logistic regression: One and multiple predictors. Interpretation of the parameter estimate in terms of the odds ratio and C=Roc. 1

 
 
 
 

Assignments Tests:
 

Assignments Will be given during the class 20 Marks
Midterm Exam   30 Marks
Projects & presentations   10 Marks
Final Exam   40 Marks

 
 
Computing facilities
Excel and R
Attendance:
  
Student missing more than 25% of the total class hours won't be allowed to write
   the final exam.  

Course Materials