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SAY 423 - Management of Clinical Trials

Faculty of Health Sciences · Health Management · Undergraduate

ECTS: 5 T+P+L: 3+0+0 Departmental Elective
Coordinator: Arş. Gör. Muhammet Raşit AKSOY

Course Learning Outcomes

  1. To be able to collect data for specific problems using correct sampling methods.
  2. To be able to summarize the characteristics location, variation, and shape of a distribution.
  3. To be able to calculate probabilities related to daily problems.
  4. To be able to explain the purpose of descriptive and inductive methods in applications.
  5. Will be able to make statistical reports of data in an article.

Core Area Distribution

(72) Health%100

Teaching Methods

ExpressionQuestion-AnswerExercise and PracticePresentationGuided PracticeCase StudyExperiment - Test / Lab/ Workshop / Field PracticeProblem Solving

Assessment & Evaluation

Testing (Essay / Tests: True-Falls, multiple-choice, short answer, matching)

ECTS / Workload

ActivityQuantityDuration (h)Total Workload
Course Duration (Including Exam Week)16348
Out of Class Study Period16232
Midterm11515
Quiz000
Assignment000
Practice000
Final12020

Course Schedule

WeekSubjectPreparation
1Definition of Biostatistics and Basic ConceptsChapter 1
2Unit, Qualification, Stylish Concepts and Measurement Level of DataChapter 2
3Classification and Grouping in Arrangement of DataChapter 3
4Series and Graphics in Organizing DataChapter 4
5Analytical Means - Arithmetic MeanChapter 5
6Analytical Means - Geometric and Squared MeansChapter 6
7Summarizing Data: Non-Analytical AveragesChapter 7
8Midterm ExamMidterm Exam
9Summarizing Data - Measures of Distribution and VariabilityChapter 9
10Normal distributionChapter 10
11SamplingChapter 11
12Hypothesis TestsChapter 12
13Simple Regression and Correlation AnalysisChapter 13
14Khi-Kare (X2) Test of IndependenceChapter 14
15IndexesChapter 15
16Final ExamFinal Exam