Description

Background

Clinical Epidemiology aims to address this through the application of established approaches for research in human populations, while at all times focussing on the problem at hand from a clinical perspective.the application of the science of epidemiology in a clinical setting.

Emphasis is on a medically defined population, as opposed to statistically formulated disease trends derived from examination of larger population categories.

---

Benefits

This Course will provide you with:

• An understanding to meet the need of both the ‘users’ of clinical epidemiology.
• Insight for seeking the quantitative and analytic skills needed for clinical research.
• Explore theories, concepts and reasoning that support introductory courses in clinical biostatistics and epidemiology.
• Responding to an ethical question and steps of consultation process.
• Participants will learn to think beyond evidence based treatments.
• The original focus of epidemiological research was on infections and deficiencies.
• Clinical epidemiology is a broad discipline which contributes much needed evidence to try and fill some of these gaps and is used by practicing clinicians and by health policy makers.
• An epidemiological modeling of the benefits of statin use in general population.
• This course focus on clinical epidemiology is the application of the principles and methods of epidemiology to conduct, appraise or apply clinical research studies focusing on prevention, diagnosis, prognosis, and treatment of disease.

---

Who Should Attend

The primary audience for this course is physicians (faculty and fellows) who desire training in the basic quantitative methods that are needed for clinical research, but whose schedules limit their participation in longer certificate or degree programs.

---

Curriculum

Day One

• Introduction
• Define the structure
• Define requirements and format
• General Information defination

Day Two

• Introduction to Epidemiology
• Key concepts Introduction
• Epidemiological Research
• Clinical Context of Epidemiology

Day Three

• Introduction to Diagnostic Research
• Define diagnostic model
• Introduction to challenges in the area of diagnosis
• Discuss problems associated with diagnosis

Day Four

• Introduction to Prognostic Research
• Challenges of evidence-based prognostication
• Introduction to tools and techniques in clinical decisions
• Guidelines discussion

Day Five

• Research topic
• White paper preparation
• Report presentation
• Doubt clearing session