Here is information about BIOS class enrollment for spring 2024. Classes with no meeting time listed are not shown. Feel free to contact me with any questions/comments/issues. I am happy to add any departments that are missing from these listings, just reach out to ask!
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Data last updated: 2024-03-06 08:24:59.955719
| Class Number | Class | Meeting Time | Instructor | Room | Unreserved Enrollment | Reserved Enrollment | Wait List |
|---|---|---|---|---|---|---|---|
| 8027 | BIOS 600 - 001 Principles of Statistical Inference | TuTh 8:00AM - 9:15AM | Marcus Herman-Giddens | Hooker Research Cen-Rm 0001 | Seats filled (100 total) | Seats filled | 0/999 |
| Description: Required preparation, knowledge of basic descriptive statistics. Major topics include elementary probability theory, probability distributions, estimation, tests of hypotheses, chi-squared procedures, regression, and correlation. 3 units. | |||||||
| 8040 | BIOS 600 - 601 Principles of Statistical Inference | Tu 3:30PM - 4:50PM | Marcus Herman-Giddens | McGavran-Greenberg -Rm 1301 | 99/100 (100 total) | Seats filled | 0/999 |
| Description: Required preparation, knowledge of basic descriptive statistics. Major topics include elementary probability theory, probability distributions, estimation, tests of hypotheses, chi-squared procedures, regression, and correlation. 0 units. | |||||||
| 8993 | BIOS 635 - 001 Introduction to Machine Learning | TuTh 9:30AM - 10:45AM | Didong Li | McGavran-Greenberg -Rm 1301 | Seats filled (30 total) | 24/30 | 0/999 |
| Description: Prerequisite, BIOS 512 or 650; permission of the instructor for students lacking the prerequisite. This course will be an introductory course to machine learning. The goal is to equip students with knowledge of existing tools for data analysis and to get students prepared for more advanced courses in machine learning. This course is restricted to SPH Master of Public Health students. 3 units. | |||||||
| 11744 | BIOS 642 - 001 Quantitative Methods for Health Care Professionals II | Tu 11:00AM - 1:05PM | Marcella Boynton | McGavran-Greenberg -Rm 1301 | 18/40 (40 total) | Seats filled | 0/999 |
| Description: Prerequisite, BIOS 641. Continuation of BIOS 641. Main emphasis is on logistic regression; other topics include exploratory data analysis and survival analysis. Previously offered as PUBH 742. 4 units. | |||||||
| 8028 | BIOS 645 - 001 Principles of Experimental Analysis | TuTh 12:30PM - 1:45PM | Jeff Laux | McGavran-Greenberg -Rm 2308 | Seats filled (50 total) | 29/50 | 0/999 |
| Description: Prerequisites, BIOS 600 or SPHG 711. Required preparation, basic familiarity with statistical software (preferably SAS able to do multiple linear regression) and introductory biostatistics, such as BIOS 600. Continuation of BIOS 600. Analysis of experimental and observational data, including multiple regression and analysis of variance and covariance. Previously offered as BIOS 545. Permission of the instructor for nonmajors. 3 units. | |||||||
| 14632 | BIOS 645 - 002 Principles of Experimental Analysis | TuTh 12:30PM - 1:45PM | Kara McCormack | Rosenau Hall-Rm 0235 | Seats filled (50 total) | 39/50 | 0/999 |
| Description: Prerequisites, BIOS 600 or SPHG 711. Required preparation, basic familiarity with statistical software (preferably SAS able to do multiple linear regression) and introductory biostatistics, such as BIOS 600. Continuation of BIOS 600. Analysis of experimental and observational data, including multiple regression and analysis of variance and covariance. Previously offered as BIOS 545. Permission of the instructor for nonmajors. 3 units. | |||||||
| 8039 | BIOS 645 - 601 Principles of Experimental Analysis | We 3:35PM - 4:35PM | Jeff Laux | Rosenau Hall-Rm 0235 | 28/50 (50 total) | Seats filled | 0/999 |
| Description: Prerequisites, BIOS 600 or SPHG 711. Required preparation, basic familiarity with statistical software (preferably SAS able to do multiple linear regression) and introductory biostatistics, such as BIOS 600. Continuation of BIOS 600. Analysis of experimental and observational data, including multiple regression and analysis of variance and covariance. Previously offered as BIOS 545. Permission of the instructor for nonmajors. 0 units. | |||||||
| 14633 | BIOS 645 - 602 Principles of Experimental Analysis | We 3:35PM - 4:35PM | Kara McCormack | Rosenau Hall-Rm 0133 | 39/50 (50 total) | Seats filled | 0/999 |
| Description: Prerequisites, BIOS 600 or SPHG 711. Required preparation, basic familiarity with statistical software (preferably SAS able to do multiple linear regression) and introductory biostatistics, such as BIOS 600. Continuation of BIOS 600. Analysis of experimental and observational data, including multiple regression and analysis of variance and covariance. Previously offered as BIOS 545. Permission of the instructor for nonmajors. 0 units. | |||||||
| 8029 | BIOS 661 - 001 Probability and Statistical Inference II | TuTh 12:30PM - 1:45PM | Feng-Chang Lin | Rosenau Hall-Rm 0133 | Seats filled (50 total) | 45/50 | 0/999 |
| Description: Prerequisite, BIOS 660; permission of the instructor for students lacking the prerequisite. Distribution of functions of random variables; Helmert transformation theory; central limit theorem and other asymptotic theory; estimation theory; maximum likelihood methods; hypothesis testing; power; Neyman-Pearson Theorem, likelihood ratio, score, and Wald tests; noncentral distributions. 3 units. | |||||||
| 8030 | BIOS 663 - 001 Intermediate Linear Models | MoWe 1:25PM - 3:10PM | Kara McCormack | McGavran-Greenberg -Rm 1301 | -6/0 | 59/65 | 0/999 |
| Description: Required preparation, BIOS 662. Matrix-based treatment of regression, one-way and two-way ANOVA, and ANCOVA, emphasizing the general linear model and hypothesis, as well as diagnostics and model building. Reviews matrix algebra. Includes statistical power for linear models and binary response regression methods. 4 units. | |||||||
| 8031 | BIOS 663 - 601 Intermediate Linear Models | Mo 3:35PM - 4:35PM | Kara McCormack | McGavran-Greenberg -Rm 2301 | 53/65 (65 total) | Seats filled | 0/999 |
| Description: Required preparation, BIOS 662. Matrix-based treatment of regression, one-way and two-way ANOVA, and ANCOVA, emphasizing the general linear model and hypothesis, as well as diagnostics and model building. Reviews matrix algebra. Includes statistical power for linear models and binary response regression methods. 0 units. | |||||||
| 8032 | BIOS 664 - 001 Sample Survey Methodology | MoWe 10:10AM - 11:55AM | Bonnie Shook-Sa | McGavran-Greenberg -Rm 2301 | Seats filled (40 total) | Seats filled | 0/10 |
| Description: Prerequisite, BIOS 650; permission of the instructor for students lacking the prerequisite. Fundamental principles and methods of sampling populations, with emphasis on simple, random, stratified, and cluster sampling. Sample weights, nonsampling error, and analysis of data from complex designs are covered. Practical experience through participation in the design, execution, and analysis of a sampling project. 4 units. | |||||||
| 8129 | BIOS 668 - 001 Design of Public Health Studies | TuTh 11:00AM - 12:15PM | Xianming Tan | Rosenau Hall-Rm 0133 | Seats filled (45 total) | Seats filled | 0/999 |
| Description: Prerequisites, BIOS 645 and 650. Statistical concepts in basic public health study designs: cross-sectional, case-control, prospective, and experimental (including clinical trials). Validity, measurement of response, sample size determination, matching and random allocation methods. 3 units. | |||||||
| 8091 | BIOS 669 - 001 Working with Data in a Public Health Research Setting | TuTh 9:30AM - 10:45AM | Kinsey Helton | Rosenau Hall-Rm 0235 | 4/5 (35 total) | Seats filled | 0/999 |
| Description: Prerequisite, BIOS 511 or EPID 700; permission of the instructor for students lacking the prerequisite. Provides a foundation and training for working with data from clinical trials or research studies. Topics: issues in study design, collecting quality data, using SAS and SQL to transform data, typical reports, data closure and export, and working with big data. 3 units. | |||||||
| 8103 | BIOS 673 - 001 Intermediate Statistical Inference | Tu 2:00PM - 3:00PM | Feng-Chang Lin | McGavran-Greenberg -Rm 2306 | Seats filled (35 total) | 26/35 | 0/999 |
| Description: Prerequisite, BIOS 660; permission of the instructor for students lacking the prerequisite; Corequisite, BIOS 661. This course introduces intermediate concepts and theories in statistical inferences, including multivariate transformation, convergence of random vectors, sufficient and complete statistics, methods of estimation, and advanced problems such as information inequality, unbiased estimators, Bayes estimators, asymptotically efficient estimation, nonparametric estimation, and simultaneous confidence intervals. 1 units. | |||||||
| 8033 | BIOS 680 - 001 Introductory Survivorship Analysis | MoWe 9:05AM - 10:20AM | HAIBO ZHOU | McGavran-Greenberg -Rm 1304 | Seats filled (45 total) | 21/30 | 0/999 |
| Description: Prerequisite, BIOS 661; permission of the instructor for students lacking the prerequisite. Introduction to concepts and techniques used in the analysis of time to event data, including censoring, hazard rates, estimation of survival curves, regression techniques, applications to clinical trials. 3 units. | |||||||
| 8862 | BIOS 735 - 001 Statistical Computing - Basic Principles and Applications | MoWe 1:25PM - 3:10PM | Naim Rashid | McGavran-Greenberg -Rm 1305 | Seats filled (30 total) | Seats filled | 0/999 |
| Description: Prerequisites, BIOS 660, 661, 662, and 663. Required preparation, one undergraduate-level programming class. Teaches important concepts and skills for statistical software development using case studies. After this course, students will have an understanding of the process of statistical software development, knowledge of existing resources for software development, and the ability to produce reliable and efficient statistical software. 4 units. | |||||||
| 8034 | BIOS 761 - 001 Advanced Probability and Statistical Inference II | MoWe 11:15AM - 1:00PM | Quefeng Li | McGavran-Greenberg -Rm 1304 | Seats filled (40 total) | 30/40 | 0/999 |
| Description: Prerequisite, BIOS 760; permission of the instructor for students lacking the prerequisite. Elementary decision theory: admissibility, minimaxity, loss functions, Bayesian approaches. Hypothesis testing: Neyman-Pearson theory, UMP and unbiased tests, invariance, confidence sets, contiguous alternatives. Elements of stochastic processes: Poisson processes, renewal theory, Markov chains, martingales, Brownian motion. 4 units. | |||||||
| 8035 | BIOS 767 - 001 Longitudinal Data Analysis | MoWe 9:05AM - 10:50AM | Tanya Garcia | Rosenau Hall-Rm 0235 | Seats filled (40 total) | 29/40 | 0/999 |
| Description: Prerequisites, BIOS 661 and 762; Permission of the instructor for nonmajors. Presents modern approaches to the analysis of longitudinal data. Topics include linear mixed effects models, generalized linear models for correlated data (including generalized estimating equations), computational issues and methods for fitting models, and dropout or other missing data. 4 units. | |||||||
| 13602 | BIOS 776 - 001 Causal Inference in Biomedical Research | TuTh 11:00AM - 12:15PM | MICHAEL HUDGENS, Lina Montoya | McGavran-Greenberg -Rm 1304 | Seats filled (40 total) | Seats filled | 0/999 |
| Description: Prerequisites, BIOS 661 and 663; permission of the instructor for students lacking the prerequisites. This course will consider drawing inference about causal effects in a variety of settings using the potential outcomes framework. Topics covered include causal inference in randomized experiments and observational studies, bounds and sensitivity analysis, propensity scores, graphical models, and other areas. 3 units. | |||||||
| 13603 | BIOS 781 - 001 Statistical Methods in Human Genetics | MoWe 3:35PM - 5:20PM | Fei Zou | McGavran-Greenberg -Rm 2304 | 9/25 (25 total) | Seats filled | 0/999 |
| Description: Prerequisites, BIOS 661 and 663; permission of the instructor for students lacking the prerequisites. An introduction to statistical procedures in human genetics, Hardy-Weinberg equilibrium, linkage analysis (including use of genetic software packages), linkage disequilibrium and allelic association. 4 units. | |||||||
| 8036 | BIOS 841 - 001 Principles of Statistical Collaboration and Leadership | TuTh 12:30PM - 1:45PM | Kevin Anstrom, KINH TRUONG | Rosenau Hall-Rm 0228 | Seats filled (50 total) | Seats filled | 0/999 |
| Description: An introduction to the statistical collaborative process and leadership skills. Emphasized topics include problem solving, study design, data analysis, ethical conduct, teamwork, career paths, data management, written and oral communication with scientists and collaborators. 3 units. | |||||||
| 8037 | BIOS 843 - 001 Seminar in Biostatistics | Th 3:30PM - 4:30PM | Tanya Garcia, Didong Li | Rosenau Hall-Rm 0133 | Seats filled (100 total) | 64/100 | 0/999 |
| Description: This seminar course is intended to give students exposure to cutting edge research topics and hopefully help them in their choice of a thesis topic. It also allows the student to meet and learn from major researchers in the field. 1 units. | |||||||
| 8083 | BIOS 992 - 001 Master's (Non-Thesis) | MoWe 3:35PM - 4:50PM | BAHJAT QAQISH, Baiming Zou | McGavran-Greenberg -Rm 2308 | Seats filled (40 total) | Seats filled | |
| Description: 3 units. | |||||||