East West University
M. Pharm: Department of Pharmacy
Course: PHRM 523: Biostatistics; Session: January - June 2015
Instructor:
Md Mushfiqur Rahman, MSc (DU & UBC), PhD (UBC, Canada)
Associate Professor, Department of Applied Statistics, EWU
Office:
Room # 707, 6th floor
Lecture Time:
Monday 7:00 PM - 9:00 PM; Room 331/ 332
Class & Office Schedule
Day\ Time
Sunday
Monday
Tuesday
Wednesday
Thursday
10:10-11:40 11:50-1:20
1:30-3:10 4:00-6:30 6:30-9:30
AST 301
AST 204
Office Hour
Room 114
Room 109
STA 217
Office Hour Office Hour
PHRM 523
Room 338
Room 332
Office hour
STA 217
Room 338
AST 301
Room 114
Office Hour Office Hour
AST 204
Room 109
AST 504
Room 434
Office Hour
Grading System: Grades will be assigned based on the performance in the course as per the
rules of East West University.
Marks distribution
Mid-term:
Attendance:
Assignments + quiz:
Final exam:
Total:
35%
05%
20%
40%
100%
Detail syllabus:
1. Introduction: Definition, population and sample, parameter and statistics, sampling and
independent observations, types of variables and measurements, basic concepts of
probability, random variables, sampling techniques, graphical presentation of data.
2. Measures of Central Tendency: Calculating mean, median, and mode. Measures of
dispersion, population versus sample measures of central tendency, measurements related
to the sample standard deviation, geometric mean.
3. Discrete and continuous probability distributions. The Normal distribution and
Confidence Intervals of mean and proportions: sampling distribution, standard error of
the mean and proportion.
4. Hypothesis Testing: One and two tail tests, Type I error, Type II error, p-value and power
of the test.
5. Z-test and t-test: Parametric procedures, one sample case and two sample case for z-test
of proportions, one-sample t-tests, two-sample t-tests, one-sample t-test revisited for
critical values, matched pair t-test.
6. One-way Analysis of Variance (ANOVA): F test and Scheffe’s procedure for multiple
comparisons, other procedures.
7. Correlation and regression analysis: Scatter plot, Pearson product moment correlation
coefficient, statistical significance of a correlation coefficient, correlation and causality,
linear regression line and interpretations, coefficient of determination, confidence
intervals for the regression line, multiple linear regression models.
8. Chi Square Tests: Chi Square Statistics, Chi Square for one discrete independent variable.
Chi Square Goodness-of-fit test, Chi Square test of independence, Yates correction for
2X2 contingency table.
9. Nonparametric tests: Ranking of information, Mann-Whitney U test, Median test,
Wilcoxon Matched-pairs test, Sign test, Kruskal-Wallis test, Friedman Two-way analysis
of variance, Fisher’s exact test, Spearman Rank-order correlation.
10. Concepts of epidemiology and survival analysis. Incidence and prevalence, odds ratio,
relative risks, logistic and Cox proportional hazards model.
Text book: Statistics for Business and Economics. Newbold Paul, William L. Carlson, and Betty
Thorne, Sixth Edition, Prentice Hall, 2008.
Course Outline and book chapters:
_ Statistical Concept (Chap 1)
_ Describing Data: Graphical presentation (Chap 2)
_ Describing Data: Central tendency and dispersion (Chap 3)
_ Probability (Chap 4)
_ Discrete Random Variables and Probability Distributions (Chap 5)
_ Continuous Random Variables and Probability Distributions (Chap 6)
_ Sampling and Sampling Distributions (Chap 7)
_ Estimation and Confidence interval: Single Population (Chap 8)
_ Estimation: continued (Chap 9)
_ Hypothesis Testing I (Chap 10)
_ Hypothesis Testing II (Chap 11)
_ Simple Regression (Chap 12)
_ Multiple Regression (Chap 13, 14)
_ Nonparametric Statistics (Chap 15)
_ Goodness-of-Fit Tests and Contingency Tables (Chap 16)
_ Analysis of Variance (Chap 17)