Applications of Epidemiology in Healthcare

Epidemiology & Health Economics


Description

Description

Applications of Epidemiology in Healthcare

Intention to undergo this advanced training in epidemiology is to deep dive in to
the area of epidemiology / public health to understand various applications of
epidemiology for the life sciences/ pharmaceutical industries.

The beginning section covers various measures of association (difference
measures & ratio measures). This includes two independent means, two
independent proportions, attributable risk, relative risks, odds ratio etc. In the
middle of this course, slides touch base regarding strengths and weaknesses of
study designs that we studies in the basic course of epidemiology.

Content also introduces null hypotheses, alternate hypothesis, alpha (probability
of making type I error), beta (probability of making type II error), 1-beta (power of
the study), p value from an Epidemiology angle. Course discusses many real life
examples to make things easy to understand.

Appendix section of this course covers methods in controlling confounding,
available consensus guidelines (links) on research design & reporting (example
MOOSE for Meta-analysis of observational studies, CONSORT for RCTs etc.
This also includes examples of peer-reviewed journals that publish quality
epidemiological research.

We hope you enjoy this advanced training in epidemiology. Happy learning!
Epidemiology is a method of causal reasoning based on developing and testing hypotheses pertaining to occurrence and prevention of morbidity and mortality. Intention to undergo “Applications of Epidemiology in Healthcare” module in epidemiology is to deep dive in to the area of epidemiology/ public health to understand various applications of epidemiology for the life sciences/ pharmaceutical industries.

The course is designed and delivered by Sameer Gokhale, an Epidemiologist with more than 12 years of experience in the healthcare domain across developed and developing markets with primary focus in epidemiological parameters. This includes and not limited to conducting qualitative and quantitative analysis, estimation of disease burden, preparation of global value dossier (GVD), adaptation of GVD to suit regional market needs. Sameer has authored many publications in peer reviewed journals and presented his research in well-known national and international conferences.

Training Module

The module covers;
1. Various measures of association such as difference measures & ratio measures.
2. Module also touch-bases regarding strengths and weaknesses of study designs that we studied in basics of epidemiology in healthcare.
3. Course content introduces important concepts of null hypotheses, alternate hypothesis, alpha (probability of making type-I error), beta (probability of making type-II error), 1-beta (power of the study), p value from an Epidemiology angle.
4. Course discusses many real life examples to make things easy to understand.
5. Last section covers examples of confounding and methods in controlling confounding.
We hope you enjoy this advanced training in epidemiology. Happy learning!
[Important Note: If you are taking this course from India, please submit a short survey located at https://goo.gl/z2pCvB to receive the instructions for payment through NEFT. We regret the inconvenience caused and want to assure you that we shall soon make the online payment facility available for Indian audience. Participants from overseas locations will be able to pay using PayPal or Credit Card.]

Content

Section 1: Measures of Association in Epidemiology
•Section 2: Hypothesis Testing, Type I & II Errors
•Section 3: Methods to Control Bias and Confounding
•Section 4: Case Studies Showcasing Applications of Epidemiology

Assessment

•Five (N=5) multiple choice questions after each section to assess understanding of the learner

Time

•180 minutes (3 hours)

Content
  • Applications of Epidemiology in Healthcare_part-1
  • Epidemiology Applications_Part-I
  • Applications of Epidemiology in Healthcare_part-2
  • Epidemiology Applications Part-II
  • Case Study
  • Applications of Epidemiology in Healthcare Case Study
  • Case Study-Applications of Epidemiology in Healthcare_part-A
  • Case Study-Applications of Epidemiology in Healthcare_part-B
  • Assessments
  • Measures of Association in Epidemiology_Section-I
  • Hypothesis Testing, Type I & II Errors_Section-II
  • Methods to Control Bias and Confounding_Section-III
Completion rules
  • All units must be completed
  • Leads to a certification with a duration: Forever