This course is eligible for the following credit and recognition options: No CreditYou may take this course without pursuing credit or a record of completion. Unable to add item to List. Most standard software packages can do various forms of categorical data analysis. Dr. Marx has numerous publications in peer reviewed journals. CEUs and Proof of CompletionIf you require a “Record of Course Completion” along with professional development credit in the form of Continuing Education Units (CEU’s), upon successfully completing the course, CEU’s and a record of course completion will be issued by The Institute upon your request. There is no supplemental content for this course. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. In most courses you are eligible for a discount at checkout. The required text for this course is An Introduction to Categorical Data Analysis, Third Edition by Alan Agresti. This course will teach you logistic regression ordinary least squares (OLS) methods to model data with binary outcomes rather than directly estimating the value of the outcome, logistic regression allows you to estimate the probability of a success or failure. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. Categorical Data Analysis R Users Stata Users (Source: Pai, M., McGill University) Effect Measure Modification and Interaction (pdf, 66 slides) (Source: Ben Arnold, UC Berkeley) Decision Tree for Assessing Effect Modification … Both 2-way and 3-way tables are covered. Group RatesContact us to get information on group rates. There is no additional information for this course. Please see our course search or knowledge center for more information. Invoice or Purchase OrderAdd $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. offers academic and professional education in statistics, analytics, and data science at beginner, intermediate, and advanced levels of instruction. to reduce the number of predictors, Joint, marginal and conditional probabilities, Conditional independence and homogenous association, Odds-ratio, EL50, probability rate of change, Inference and confidence intervals for logistic regression, Categorical predictors/ indicator variables/ coding. During each course week, you participate at times of your own choosing – there are no set times when you must be online. Students get a broad view of the generalized linear model framework, and are also exposed to several model variations. See the course overview below. I will continue to look for: courses that I can take whenever possible. They provide important statistical information that can lead to real-life conclusions and the discovery of fresh knowledge. It is well worth a look, both by practitioners who use these methods in their research and by instructors who plan to teach courses on this subject … The author has extensive teaching experience at the University of Wisconsin-Madison and at the University of Edinburgh, and the choice of topics in this book reflects that experience … Each chapter is followed by useful exercises that should aid in developing an understanding of the presented material … Its many biological and medical examples, some developed in detail, make it especially useful for students with interests in the health sciences.". January 12, 2015. Top subscription boxes – right to your door, © 1996-2020,, Inc. or its affiliates. Standard packages such as SAS, Stata, R, SPSS, and Minitab can do this. We have a flexible transfer and withdrawal policy that recognizes circumstances may arise to prevent you from taking a course as planned. After viewing product detail pages, look here to find an easy way to navigate back to pages you are interested in. There's a problem loading this menu right now. offers academic and professional education in statistics, analytics, and data science at beginner, intermediate, and advanced levels of instruction. This course will teach you the analysis of contingency table data. Statistics 1 – Probability and Study Design, An Introduction to Categorical Data Analysis, Construct R by C tables when given counts, Calculate joint, marginal and conditional probabilities, Test for independence, and equality of proportions, Check model assumptions and analyze residuals and goodness-of-fit, Use variable selection algorithms (stepwise, etc.) By continuing to use this website, you consent to the use of cookies in accordance with our Cookie Policy. Therefore, the ability to manipulate, understand, and interpret categorical data becomes of interest-if not essential-to professionals and students in a broad range of disciplines. Your recently viewed items and featured recommendations, Select the department you want to search in, + No Import Fees Deposit & $7.98 Shipping to Macedonia, The Former Yugoslav Republic of. Cycle of offering: Term 3. Michael Friendly. This course, the first of a three-course sequence, provides an introduction to statistics for those with little or no prior exposure to basic probability and statistics. Topics include basic survey courses for novices, a full sequence of introductory statistics courses, bridge courses to more advanced topics. Categorical Data Analysis: Course Overview. New to Please visit our faculty page for more information on each instructor at The Institute for Statistics Education. There was a problem loading your book clubs. You may transfer or withdraw from a course under certain conditions. Welcome to STAT 770/BIOS 805, Categorical Data Analysis. Topics include tests for independence, comparing proportions as well as chi-square, exact methods, and treatment of ordered data. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor. Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Course goals. Please order a copy of your course textbook prior to course start date. This course has been evaluated by the American Council on Education (ACE) and is recommended for the upper-division baccalaureate degree, 3 semester hours in statistics. This is my fourth course that I have taken at and I am very satisfied with the level and quality of instruction. Senior Biostatistician/Assistant Professor, Division of Biostatistics, City of Hope. Something went wrong. To get the free app, enter your mobile phone number. Course participants will be given access to a private discussion board. During the week, you are expected to go over the course materials, work through exercises, and submit answers. You're listening to a sample of the Audible audio edition. Prime members enjoy FREE Delivery and exclusive access to music, movies, TV shows, original audio series, and Kindle books. More information: This recent course handout (pdf) contains information about course objectives, assessment, course … Discussion among participants is encouraged. Students are entitled to a full refund if a course they are registered for is canceled. This course takes place online at The Institute for 4 weeks. College credit through The American Council on Education (ACE CREDIT), Course credits that are transferable to the INFORMS Certified Analytics Professional (CAP®). A Course in Categorical Data Analysis (Chapman & Hall/CRC Texts in Statistical Science), Routledge; 1st edition (November 22, 1999). Lecture Notes - 2020 course notes, 4. This course will teach you regression models for count data, models with a response or dependent variable data in the form of a count or rate, Poisson regression, the foundation for modeling counts, and extensions and modifications to the basic model. "…presents an interesting and alternative view of categorical data analysis (CDA)…This book would be appropriate for upper undergraduates or master's level courses in statistics for non-majors who need an overview of CDA without going into great detail and theory…represents a fresh perspective on CDA. MATH5945 is a Honours and Postgraduate Coursework Mathematics course. To calculate the overall star rating and percentage breakdown by star, we don’t use a simple average.