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Regular version of the site
Master 2020/2021

Methods of Statistical Consulting

Area of studies: Applied Mathematics and Informatics
When: 2 year, 1, 2 module
Mode of studies: offline
Open to: students of all HSE University campuses
Instructors: Valentina Kuskova
Master’s programme: Applied Statistics with Network Analysis
Language: English
ECTS credits: 4

Course Syllabus

Abstract

Students of this course will be introduced to statistical consulting techniques useful for work with researchers and decision-makers in business, educational, medical, financial and industrial settings. So as to better appreciate the practical nuances and subtleties of consulting, enrolled students will engage in actual hands-on statistical consulting with administrators, researchers, or students at HSE, through industry consulting projects, or remotely. Ethical issues related to the use and misuse of statistical methods, surveys, and studies will also be thoroughly discussed. Students will summarize their consulting activities in class discussions and reports, give class presentations, take quizzes, and write a final course paper. Since statistical consulting requires the integration/synthesis and use of course material across the full statistics curriculum spectrum, this course clearly and emphatically serves as a “capstone course” for the MS program in Applied Statistics. As such, this course also provides an excellent opportunity to assess the quality of our program by measuring key student outcomes.
Learning Objectives

Learning Objectives

  • The course gives students an important foundation to develop and conduct their own research as well as to evaluate research of others.
Expected Learning Outcomes

Expected Learning Outcomes

  • Know their subject matter questions.
  • Be able to identify subject matter questions and translate into statistical language. Ask good questions and restate answers to ensure understanding.
  • Know ethical guidelines specific to statisticians.
  • Be able to verbally explain statistical concepts.
  • Know how to choose a statistical method that is appropriate for answering the client’s question.
  • Know the principles and guidelines of Responsible Conduct for Research.
  • Be able to write the background, goals, and study design section of a proposal or report.
  • Be able to design tables and plots that increase clarity and understanding, create effective slides and oral presentation, write a study protocol.
  • Be able to write a statistical analysis report
  • Have an ability to run an effective collaboration meeting, use video and other tools to improve meeting and collaboration.
  • Have the skill to design and complete a consulting project from start to finish.
Course Contents

Course Contents

  • The methodology of statistical consulting
    The first session will introduce the history of scientific method, development of statistics, the overview of statistical consulting, and peculiarities of statistical consulting environments (phar-maceutical, telecomm, business, government, university).
  • Communication
    The session is designed to bring attention to the communication strategy, i.e., verbal interaction, written communication, effective presentations and importance of quality graphics.
  • Methodological aspects
    The session gives a basic overview of the statistics field from the consultants’ perspective: data collection and processing, statistical issues, methods used in consulting, standard methods, gen-eral methods, experimental design, and statistical software.
  • Consulting project from A to Z, I
    This session builds the understanding of the consulting project starting with gathering infor-mation and financial issues.
  • Consulting project from A to Z, II
    This session discusses first meeting with the client, setting expectations and documentation.
  • Consulting project from A to Z, III
    This session will continue the consulting project and will look at project analysis, presenting the results and the final report.
  • Case studies
    A series of sessions will consist of student presentations of their own consulting projects and case studies described in the literature.
Assessment Elements

Assessment Elements

  • non-blocking Weekly homeworks
  • non-blocking In-class presentations
  • non-blocking Participation and responsibility grade
  • non-blocking Consulting report
  • non-blocking Mandatory 40 hours of statistical consulting, documented via consulting journal
Interim Assessment

Interim Assessment

  • Interim assessment (2 module)
    0.2 * Consulting report + 0.1 * In-class presentations + 0.3 * Mandatory 40 hours of statistical consulting, documented via consulting journal + 0.2 * Participation and responsibility grade + 0.2 * Weekly homeworks
Bibliography

Bibliography

Recommended Core Bibliography

  • Dietmar Fink, & Oded Löwenbein. (2010). A management consulting view on the statistical consulting process. AStA Advances in Statistical Analysis, (1), 105. https://doi.org/10.1007/s10182-009-0119-0

Recommended Additional Bibliography

  • Centreway Place, Mt Waverley Vic, & Jeremy Rothfield. (2013). Statistical Consulting. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.7514F3BF