AMS 575, Internship in statistical Consulting
Directed quantitative research problem in conjunction with currently existing research
programs outside the department. Students specializing in a particular area work on
a problem from that area; others work on problems related to their interests, if possible.
Efficient and effective use of computers. Each student gives at least one informal
lecture to his or her colleagues on a research problem and its statistical aspects.
Prerequisite: Permission of instructor
1-9 credits, ABCF grading
Text: No text
Fall and Spring Semesters
Learning Outcomes:
1) Demonstrate skills applying knowledge learned from the following classes to real
or realistic data analysis projects (*the students are recommended to take AMS 575
after completing at least 3 of the following courses):
AMS 572, Data Analysis I;
AMS 573 Categorical Data Analysis;
AMS 577 Multivariate Analysis;
AMS 578 Regression Analysis;
AMS 582 Experimental Design;
AMS 586 Time Series Analysis;
AMS 588 Biostatistics (covering Survival Analysis, and Clinical Trials);
AMS 597 Statistical Computing.
2) Learn how to join a research project:
* Become engaged with other members of the project;
* Learn general background information about project;
*Communicate with experts who are non-statisticians.
3) Demonstrate the ability to:
* Initiate statistical consulting assignment(s);
* Help project leaders develop the statistical design of the collection of
data;
*Participate in the collection of data, entry, and clean of the data, as appropriate.
4) Demonstrate the skills needed to:
* Analyze the data;
* With guidance from project leaders and statistics faculty, choose exploratory
and inferential statistical tools to analyze data and test hypotheses;
* Apply suitable statistical programs/software for data analysis and report
writing purposes.
5) Demonstrate the skills needed to communicate statistical findings:
* Orally to members of research team and to other scientists;
* In a well written scientific paper.