Data management and SAS Programming Language EPID576D

Transcription

1 Time: Location: Tuesday and Thursdays, 11:00am 12:15 pm Drachman Hall A319 Instructors: Angelika Gruessner, MS, PhD (office) Drachman Hall A224 Office Hours: Monday Thursday pm Course Description: This course will introduce students to the fundamentals of data management using the SAS programming language and management system. Emphasis will be placed on the management of large data sets and data manipulation, including reading, processing, recoding, and reformatting of data. In addition, this course will be an introduction to the SAS system. The approach will be to teach by example, with an emphasis on hands-on learning. The course will cover the specific topics listed in the course objectives below. Each participant should afterwards be able to take and pass the Global Basic SAS Programming certification. Course Prerequisites: Basic computer literacy, CPH 576A & CPH 573A or permission of the instructor Course Objectives: On completion of the course, students will be able to: 1. Build or import a SAS data set from raw data, spread sheets, or database systems 2. Reformat / recode data 3. Read, combine and restructure multiple data sets 4. Use SAS functions 5. Use SAS dates 6. Use SAS Arrays 7. Perform data cleaning procedures 8. Conduct exploratory data analysis (EDA) using SAS 9. The ODS system and SAS graphics 10. Integrate SAS Programming with Data Management and Statistical Analyses 11. Usage of SQL for data import and manipulation 12. Develop SAS macros 13. Using SAS, R, SPSS, Stata interchangeable -1-

2 Course Notes: Students will be given a copy of the power point presentation and handouts for that day. Students may also be given additional examples of specific SAS programs which will also be discussed in class. Students are responsible for ALL material distributed during the semester. Competencies: Ability to identify appropriate statistical tools to address specific scientific questions Demonstrate excellent presentation skills and the ability to explain statistical concepts and findings to a general scientific audience Demonstrate advanced working skills in application of computer systems and appropriate statistical software Demonstrate understanding of methods of data analysis and data monitoring It is essential to have an USB key to save all work Recommended Texts/Readings: o Delwiche,L.D. and Slaughter, S.J., The Little SAS Book, A Primer; Fourth Edition; The SAS Institute, 2009 o Geoff Der and Brian S. Everitt: A Handbook of Statistical Analyses Using SAS, CRC Press, 2009 o Cody, R, and Pass, R. SAS Programming by Example, The SAS Institute, 2007 o A. J. Bailor, Statistical Programming in SAS, The SAS Institute, 2010 o Online documentation: -2-

3 Course Requirements: Student Expectations: The only way to learn programming is to practice; in fact most programmers learn by example. This is therefore a hands-on class in which students are expected to complete ALL tasks in a timely manner. Interaction among the students and with the instructor is STRONGLY encouraged on all homework assignments. However, NO consultation with anyone is permitted for the exams or projects. Students are expected to come to class well prepared. Attendance at all classes is recommended since the course work is cumulative. It is not expected that assignments be completed during class hours. Assignments must be handed in on time! ITEM BRIEF DESCRIPTION SAS Homework Students will be required to complete all assigned problems and to submit the results (SAS code) by the assigned date. Students are expected to submit successful runs, unless they indicate and explain their errors/problems in their program(s). CONSULTATION with the instructor, other students etc, is STRONGLY encouraged SAS Data Management Final Project Students are expected to complete these independently. Specific questions about these items can be raised during class time. Classroom Environment: The class schedule may be altered to accommodate students incoming level of programming experience. The class will consist of approximately 1-2 hours of lecture on the given topic, based on the examples in the text or in handouts provided by the instructor. At each class, students will also be asked to present homework problems and to discuss their respective solutions. Everyone is encouraged to ask questions - every question is important. The remainder of each period will consist of programming problems, using knowledge gained from the lecture and the help of the instructor and fellow classmates. -3-

4 Grading/Student Evaluation: GRADING SCALE: A = % B = 85-92% C = 70-84% F = BELOW 70% Course Schedule: Dates of classes, topics, assignments, readings, and examinations - see attached Academic Integrity: Students are expected to abide by the University of Arizona Code of Academic Integrity found at Classroom Behavior: Students are expected to be familiar with the UA Policy on Disruptive Behavior in an Instructional Setting found at and the Policy on Threatening Behavior by Students found at COPH Grievance Policy: College of Public Health students who believe they have been subjected to unfair treatment in the administration of academic policies may seek resolution of their complaints through the College of Public Health Grievance Process found at -4-

5 BLOCK TOPIC SUBTOPICS BOOK HOMEWORK 1 Introduction to SAS Structure of SAS DATA and PROC steps SAS Windows Environment Variable definitions Syntax rules 2 SAS: Program Data Vector, Syntax Rules Problem 1 Introduction to simple data input INFILE statement INPUT statement LIBNAME statements 3 Data manipulation, conditional processing and missing values Creating new variables and transformations IF/THEN/ELSE Problem2 4 Simple SAS procedures MEANS, FREQ, UNIVARIATE, TTEST, CORR, REG 5 SAS ARRAY computations ARRAY Problem 3 6 SAS FUNCTIONS Mathematical functions Problem 4 Character functions Pseudo random number generator 7 SAS dates Definition and date and time Problem 5 functions 8 Restructuring data sets LAG and RETAIN Problem 6 9 SAS labels and formats PROC FORMAT, format library 10 SAS output and SAS graphics SAS ODS (Output delivery system) RTF, HTM L, PDF formats 11 Data cleaning techniques Problem 7 12 Sorting, merging and update of MERGE, UPDATE Problem 8 data sets 14 SAS engines and interfaces EXCEL, ACCESS, SPSS Problem 9 STATA 15 Database management and PROC SQL Problem 10 manipulation, table lookup 16 SAS macro variables and macro Improving programming and Problem 11 programming introduction to simulations 17 Introduction to matrix language SAS IML 18 Final SAS project -5-