2019/2020 KANCIHCO2006U Business Statistics for Health Care Innovation
English Title  
Business Statistics for Health Care Innovation 
Course information 

Language  English 
Course ECTS  7.5 ECTS 
Type  Mandatory offered as elective 
Level  Full Degree Master 
Duration  One Quarter 
Start time of the course  First Quarter 
Timetable  Course schedule will be posted at calendar.cbs.dk 
Max. participants  60 
Study board 
Study Board for MSc in Business Administration and Innovation
in Health Care

Course coordinator  


Main academic disciplines  


Teaching methods  


Last updated on 27062019 
Relevant links 
Learning objectives  
The objective is to introduce sensibly basics of
descriptive and inferential statistics and build both a theoretical
foundation and a practical knowledge about how to implement
statistics in real analysisbased situations.
In this course attendants will learn about foundations of statistics, in particular: descriptive statistics (i.e. summary statistics), hypothesis testing (TTest, Proportional Test, differences in groups’ distributions, etc.), goodness of fit (simple linear regression), multiple regression analysis and other more sophisticated estimators. Emphasis will be placed on interpretations of the statistics and applicability. Thus, attendants will apply statistical concepts to real data and touch typical data analyst challenges and ways out. To be awarded the highest mark (12), the student, with no or just a few insignificant shortcomings, must fulfill the following learning objectives:


Course prerequisites  
No strict prerequisites.It would be ideal to have
some familiarity with basic statistics.
This is a mandatory course for the MSc in Business Administration and Innovation in Health Care. To sign up send a 1page motivational letter and a grade transcript to ihc@cbs.dk before the registration deadline for elective courses. You may find the registration deadlines on my.cbs.dk ( https://studentcbs.sharepoint.com/graduate/pages/registrationforelectives.aspx ) Please also remember to sign up through the online registration. 

Examination  


Course content, structure and pedagogical approach  
Ideally the course will cover the basics of statistics in order provide the attendants with a solid basis on both descriptive and inferential statistics. Despite the introductory nature of the course, attendant will be expose to primary techniques of data analysis useful in reallife settings. Ideally, the first part of the course will be focused on Descriptive Statistics, which will be based on the following main questions:
In the second part of the course, attendants will be introduce to foundations of Inferential statistics, thus dealing with the following questions:


Description of the teaching methods  
The course aims to be a balance between theory
and practice. The theory will be delivered to make attendants aware
about the necessary understanding of each statistics topic to have
the eventual freedom to build their own analytical strategy. The
practice will be delivered to train the attendants to the
daybyday challenges and mechanism in data analysis.
Ideally a lecture will have the following components: • Delivery of the theory about a specific statistics topic. • Acquisition of the analytical tool and individual practice in class guided by the faculty • Group exercise using reallife database STATA (12.0 version or more recent) will be the software of reference for this course. Despite attendants will be instructed on the useful commands throughout the development of the course, attendants are still expected to familiarize themselves with basic ability in this software, such as uploading a file, save a DO and DTA file, and similar basic commands. MS Excel will be also used, in particular at the beginning of the seminar for the Descriptive Statistics section. 

Feedback during the teaching period  
I will meet at least one time with individual student during the course to feedback on their project.  
Student workload  


Further Information  


Expected literature  
There is no a specific list of reference to use or requested or expected. Yet, suggested materials are (the most recent a version is, the better):
