Applications of Epidemiology in HealthcareEpidemiology is a method of causal reasoning based on developing and testing hypotheses pertaining to the occurrence and prevention of morbidity and mortality. Intention to undergo “Applications of Epidemiology in Healthcare” module in epidemiology is to deep dive into 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 the strengths and weaknesses of study designs that we study 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. The 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. The course is designed and delivered by Dr. Sameer Gokhale, an Epidemiologist with more than 12 years of experience in the healthcare domain across developed and developing markets with a 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), an 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 ModuleThe module covers;1. Various measures of association such as difference measures & ratio measures. 2. The module also touch-bases regarding strengths and weaknesses of study designs that we studied in the basics of epidemiology in healthcare. 3. Course content introduces important concepts of null hypotheses, alternate hypothesis, alpha (probability of making a type-I error), beta (probability of making the type-II error), 1-beta (power of the study), p-value from an Epidemiology angle. 4. The course discusses many real-life examples to make things easy to understand. 5. The 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 the Indian audience. Participants from overseas locations will be able to pay using PayPal or Credit Card.]ContentSection 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)
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