Information Package

Ph.D. on Nursing

NRG651

ADVANCED STATISTICAL METHODS FOR HEALTH SCIENCES

Course Code
NRG651
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelDoctorate Of Science
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Should acquire the skill of design and carry out of health studies, and the information of data collection.
  2. Should acquire the skill of health statistics and related methods.
  3. Should acquire the skill of the analysis of data and interpretation using special statistical package program.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsBiostatistics
Course DescriptionThis course will provide, who have taken the basic biostatistics and health services nursing students, in more advanced research planning, execution, data collection and statistical methods to the data to apply the most accurate and current information . Additionally, it will provide the use of the latest versions of statistical software package and statistical evaluation results with clinically and statistically gives the ability to interpret.
Course Contents
WEEK TOPICS
1st Week 1st Week The Research Methods regarding to Health Science and Statistical Methods
2nd Week 2nd Week Case-Control Studies ((ODDS Ratio);Cross-Sectional Studies ; Cohort Studies (Relative Risk);
3rd Week Clinical Trials
4th Week 3rd Week The Methods of Sampling Size in Health Studies
5th Week 4th Week The Methods of Sampling Size in Health Studies (continued)
6th Week 5th Week Health measurements (Rate, Proportion, Ratio Mortality Rates: Crude Mortality Rate, Crude Fertility Rate, Infant Mortality Rate) Morbidity Rates: Prevalence and Incidence rates
7th Week 6th Week Life Table Methods
8th Week 7th Week Life Table Methods (continued)
9th Week 8th Week Introduction to Survival Analysis
10th Week 9th Week Midterm
11th Week 10th Week Survival Analysis (continued)
12th Week 11th Week IIntroduction to Cox-Regression Analysis
13th Week 12th Week Cox-Regression Analysis (continued)
14th Week 13th Week Introduction to Logistic Regression Analysis
15th Week 14th Week Logistic Regression Analysis
16th Week
Recommended or Required ReadingCourse Notes; books; journals and electronic database; academic papers; technical reports
Planned Learning Activities and Teaching Methods
  • Lecture
  • Problem Solving
  • Case Study
  • Questions/Answers
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 25
Assignment 3 10
Other 1 15
Total(%) 50
Contribution of In-term Studies to Overall Grade(%) 50
Contribution of Final Examination to Overall Grade(%) 50
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam
Preparation for Quiz
Individual or group work 14 16 224
Preparation for Final exam 1 20 20
Course hours 14 2 28
Preparation for Midterm exam
Laboratory (including preparation) 14 1 14
Final exam 1 3 3
Homework 2 3 6
Total Work Load295
Total Work Load / 30 (h)9.83
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3
K1 X
K2 X X X
K3 X
K4 X
K5 X
K6 X
K7 X
K8 X X
K9 X X
K10 X
K11 X X
K12 X
K13 X X X