ADVANCED STATISTICAL METHODS IN PHARMACOLOGY

PHAR641

Course Code: PHAR641
Semester: -
Theory+Practice: 2 + 0
ECTS: 5

Course Type

Elective Course

Course Level

Doctorate Of Science

Year of Study

Semester

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

evaluate the scientific data he/she obtained by using statistical methods
use the biostatistical methods special for or commonly used in the field of pharmacology
make data analysis, and to evaluate the results, by him/herself

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

Course Description

An elective course to accomplish a comprehensive understanding and application of basic or pharmacology-specific statistical methods to evaluate the scientific data he/she obtained

Course Contents

WEEK	TOPICS
1^st Week	1) Statistics in medicine and its importance
2^nd Week	2) Sampling methods
3^rd Week	3) Frequency distribution tables and graphic types
4^th Week	4) Average (mod, median, mean) and deviation criteria
5^th Week	5) Theoretical distiribution
6^th Week	6) Sample distribution regarding mean and ratio
7^th Week	7) Correlation and regression analyses
8^th Week	8) Parametric test assumptions
9^th Week	9) Parametric and non-parametric tests
10^th Week	10) Variance analyses
11^th Week	11) Chi-square and application
12^th Week	12) Statistical methods special to pharmacology
13^th Week	13) Statistical methods commonly used in pharmacoepidemiologic analysis
14^th Week	14) Statistical methods commonly used in pharmacoeconomic analysis

Recommended or Required Reading

1. Medikal İstatistik. Özdemir O. İstanbul Medikal Yayıncılık, ISBN 975-6395-47-8, İstanbul, 2006.
2. How to Report Statistics in Medicine. Lang TA, Secic M. ACP Series, ISBN 0-943126-44-4, Philadelphia, USA, 1997.
3. Biostatistics and Epidemiology, A Aprimer for Health and Biomedical Professionals, Wassertheil-Smoller S. 3. edition, Springer, ISBN 0-387-40292-6, New York, USA, 2004.
4. Statistical Methods for Health Care Research. Munro, BH, Page EB.(Ed.ler), 2. edition, JB Lippincott Co., ISBN 0-397-54982-2, Philadephia, USA, 1993.
5. Statistics in Medicine. Riffenburgh RH. 2. edition, Elsevier, ISBN 0-12-088770-3, USA, 2006.
6. Intuitive Biostatistics. Motulsky H. Oxford University Press, ISBN 0-19-508607-4, New York, USA, 1995.
7. The Visual Display of Quantitative Information, Tufte ER. 2. edition, Graphics Press, ISBN 0-9613921-4-2, Connecticut, USA, 2006.
8. Statistics at Square One: Understanding Modern Statistical Applications in Medicine. Campbell MJ. BMJ Books, ISBN 0-7279-1394-8, London, UK, 2002.
9. Statistics at Square Two. Swinscow TDV, Campbell MJ. 10. edition, BMJ Books, ISBN 0-7279-1552-5, London, UK, 2002.
10. Sağlık Araştırmalarında Örneklem Büyüklüğünün Yeterliliği, Lemeshow S, Hosmer Jr DW, Klar J, Lwanga SK (Ed.s), Kayaalp SO (Tr. Ed.), Hacettepe-Taş, ISBN 975-7731-92-7, Ankara, 2000.
11. Biyoistatistik. Sümbüloğlu K, Sümbüloğlu V, 6. Baskı, Özdemir Yayıncılık, ISBN 975-7944-01-7, Ankara, 1995.

Planned Learning Activities and Teaching Methods

Lecture
Discussion
Problem Solving
Presentation
Report Preparation

Assessment Methods and Criteria

Formative: Mid-term exams and homeworks Summative: Final exam and homeworks

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	2	2
Preparation for Quiz	4	3	12
Individual or group work	14	4	56
Preparation for Final exam	1	14	14
Course hours	14	2	28
Preparation for Midterm exam	1	14	14
Laboratory (including preparation)	0	0	0
Final exam	1	3	3
Homework	7	3	21
Total Work Load			150
Total Work Load / 30 (h)			5
ECTS Credit of the Course			5

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3
K1	X	X	X
K2
K3	X	X	X
K4
K5
K6
K7
K8	X	X	X
K9