Y750 | 5290 | Peng

Tuesdays 2:30-5:15 p.m. Education 3284 Joanne Peng (856-8337, PENG@INDIANA.EDU) Course Comments 1. The objectives of the course are (1) to gain an understanding of some basic features of logistic regression modeling, and (2) to develop a coherent approach for evaluating the applications of logistic regression modeling in your field of study. 2. Instructions will consist of lectures, discussions, computer exercises, and student presentations. 3. All students will be expected to complete three projects. The projects are designed jointly by the instructor and students with an aim to facilitate student's understanding of various issues surrounding logistic regression. The third and final project will be an in-depth investigation of one or more issues about logistic regression which the student finds intriguing. For this third project, each student will be given an opportunity to orally present his/her design and findings in class. 4 . The primary prerequisite to this course is an equivalent of a second course in applied statistics which covered ordinary least squares regression models. An aptitude for mathematical analysis and SAS programming is beneficial. Deficiencies in particular areas will be remedied in tutorial sessions. 5. Required texts for the course are (a) Kleinbaum's Logistic Regression (Springer, 1994), (b) Demaris' Logit Modeling-Practical Applications (Sage Publication #86, 1992), (c) SAS Institute's Logistic Regression: Examples using the SAS system (SAS Institute, 1995), and (d) Hosmer and Lemeshow's Applied Logistic Regression (John Wiley and Sons, 1989). Additional readings will be announced in class. Syllabus Week No. Topic 1 Introduction to logistic modeling 2 & 3 Fitting the simplest logistic regression model 4 & 5 Fitting multiple logistic regression model 6 & 7 Interpreting coefficients of logistic regression models 8 & 9 Assessing the fit of the model 10 & 11 Model Building strategies and methods 12 & 13 Logistic regression for matched case-control studies 14 Advanced topic: Polytomous logistic regression or Choosing between logistic regression and discriminant analysis 15 Student presentations (none) Grading System The final course grade will be a composite of grades assigned to three papers students are expected to complete throughout the semester. Equal weights will be applied to the three paper grades in determining the composite. Specific criteria on paper grades will be announced in class along with instructions on writing each paper. Incompletes will be given only for a legitimate reason as outlined in the university's Academic Guide, and only after a conference between the instructor and the student. Throughout the course of this section, you may contest every grade awarded to your paper/project or the final course grade. Academic Honesty and Intellectual Integrity According to P.72 of the Academic Handbook (June 1992 edition), each faculty member has "a responsibility to foster the intellectual honesty as well as the intellectual development of his/her students." In order to achieve these goals, each student enrolled in this course is prohibited from engaging in any form of "cheating" or "plagiarism." Cheating is defined as and "dishonesty of any kind with respect to examination, course assignments, alteration of records, or illegal possession of examinations" (p. 72 of the Academic Handbook). "It is the responsibility of the student not only to abstain from cheating but, in addition, to avoid the appearance of cheating and to guard against making it possible for others to cheat. Any student who helps another student to cheat is as guilty of cheating as the student he or she assists. The student also should do everything possible to induce respect for the examining process and for honesty in the performance of assigned tasks in or out of class." (p. 72 of Academic Handbook). Plagiarism is defined as "offering the work of someone else as one's own" (p. 72 of Academic Handbook). "The language or ideas thus taken from another may range from isolated formulas, sentences, or paragraphs to entire articles copied from books, periodicals, speeches, or the writings of other students. The offering of materials assembled or collected by others in the form of projects or collections without acknowledgment also is considered plagiarism. Any student who fails to give credit for ideas or materials taken from another source is guilty of plagiarism." (p.72 of Academic Handbook). Evidence of student academic misconduct will result in (a) a lowered course grade, (b) transfer out of this course, (c) dismissal from student's academic unit, or (d) other disciplinary actions in accordance with the guidelines outlined on p.73 of Academic Handbook.