GENERAL INFORMATION
Students integrate scientific evidence, patients’ preferences, and experts’ opinions to analyze managerial decisions and identify optimal alternatives. Included are applications to analysis of practice patterns, benchmarking, probabilistic risk assessment, cost analysis, conflict analysis and measurement of severity of illness. Decision analytical tools such as Multi-Attribute Value Models, Bayesian Probability Networks, and Decision Trees are covered.
objective
We live in a fast changing society where analysis is of paramount importance. Our hope is to help students solve pressing problems in our organizations and society. Good decisions based on a systematic consideration of all relevant factors and stakeholder opinions and values lead to good outcomes, both for those involved in the decision making process, and for the customers who are directly impacted by the consequences and effects of such decisions. At the conclusion of the course participants should be able to:
- Structure decisions
- Measure preferences
- Quantify uncertainty
- Analyze conflict
- Generate new options
Students are expected to use subjective opinions of experts to construct analytical models that could help managers make important organizational decisions.
modules
- Descriptive Statistics
- Introduction to probability
- Probability Distributions
- Binomial Distributions
- Normal Distributions
- Sampling Distributions
- Modeling preferences
- Measuring and modeling uncertainty
- Decision trees
- Modeling group decisions
- Root cause analysis
- Cost effectiveness analysis
- Objective risk analysis
- Program evaluation
- Conflict analysis
- Rapid analysis
- Benchmarking cliniciansThe course consists of video lectures, textbooks, papers and powerpoint presentations
requirements
- Knowledge of English language
- High School leaving certificate
FAQ
You can enroll any time
Fully online
The total cost of the program is 800€.
For lump sum payments we offer a 10% discount
how to apply
- Fill the enrollment form below
- Pay the one time or the first installment
- Scan and send at [email protected]
- the bank receipt
- school leaving certificate (or previous degree)
- ID or passport
- Within 3 working days you will receive your codes for our platform
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