BIOS Courses

Here is information about BIOS class enrollment for fall 2025. 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 also available for: COMP, AAAD, AMST, ANTH, APPL, ASTR, BCB, BIOC, BIOL, BIOS, BMME, BUSI, CHEM, CLAR, CMPL, COMM, DATA, DRAM, ECON, EDUC, EMES, ENEC, ENGL, ENVR, EPID, EXSS, GEOG, HBEH, INLS, LING, MATH, MEJO, NSCI, PHIL, PHYS, PLAN, PLCY, POLI, PSYC, SOCI, STOR, WGST

Data last updated: 2025-04-29 11:51:24.978712

Class Number	Class	Meeting Time	Instructor	Room	Unreserved Enrollment	Reserved Enrollment	Total Enrollment	Wait List
1317	BIOS 500H - 001 Introduction to Biostatistics	TuTh 11:00AM - 12:15PM	Jane Monaco	Rosenau Hall-Rm 0123	Seats filled	20/25	20/25	7/999
Description: Prerequisite, MATH 231 and 232; corequisite, BIOS 511. Access to SAS, Excel required. Permission of instructor for nonmajors. Introductory course in probability, data analysis, and statistical inference designed for B.S.P.H. biostatistics students. Topics include sampling, descriptive statistics, probability, confidence intervals, tests of hypotheses, chi-square distribution, 2-way tables, power, sample size, ANOVA, non-parametric tests, correlation, regression, survival analysis. 3 units.
1699	BIOS 500H - 002 Introduction to Biostatistics	TuTh 12:30PM - 1:45PM	Jane Monaco	Rosenau Hall-Rm 0230	Seats filled	8/25	8/25	6/999
Description: Prerequisite, MATH 231 and 232; corequisite, BIOS 511. Access to SAS, Excel required. Permission of instructor for nonmajors. Introductory course in probability, data analysis, and statistical inference designed for B.S.P.H. biostatistics students. Topics include sampling, descriptive statistics, probability, confidence intervals, tests of hypotheses, chi-square distribution, 2-way tables, power, sample size, ANOVA, non-parametric tests, correlation, regression, survival analysis. 3 units.
1138	BIOS 511 - 001 Introduction to Statistical Computing and Data Management	MoWe 3:35PM - 4:25PM	Jane Eslinger	Hooker Research Cen-Rm 0001	23/60	29/45	52/105	0/999
Description: Required preparation, previous or concurrent course in applied statistics. Permission of instructor for nonmajors. Introduction to use of computers to process and analyze data, concepts and techniques of research data management, and use of statistical programming packages and interpretation. Focus is on use of SAS for data management and reporting. 4 units.
10306	BIOS 511 - 002 Introduction to Statistical Computing and Data Management	MoWe 4:40PM - 5:30PM	Jane Eslinger	Rosenau Hall-Rm 0228	5/8	6/52	11/60	0/999
Description: Required preparation, previous or concurrent course in applied statistics. Permission of instructor for nonmajors. Introduction to use of computers to process and analyze data, concepts and techniques of research data management, and use of statistical programming packages and interpretation. Focus is on use of SAS for data management and reporting. 4 units.
1243	BIOS 511 - 601 Introduction to Statistical Computing and Data Management	MoWe 4:40PM - 5:30PM	Jane Eslinger	Hooker Research Cen-Rm 0001	52/105	Seats filled	52/105	0/999
Description: Required preparation, previous or concurrent course in applied statistics. Permission of instructor for nonmajors. Introduction to use of computers to process and analyze data, concepts and techniques of research data management, and use of statistical programming packages and interpretation. Focus is on use of SAS for data management and reporting. 0 units.
10308	BIOS 511 - 602 Introduction to Statistical Computing and Data Management	MoWe 5:45PM - 6:35PM	Jane Eslinger	McGavran-Greenberg -Rm 2306	11/60	Seats filled	11/60	0/999
Description: Required preparation, previous or concurrent course in applied statistics. Permission of instructor for nonmajors. Introduction to use of computers to process and analyze data, concepts and techniques of research data management, and use of statistical programming packages and interpretation. Focus is on use of SAS for data management and reporting. 0 units.
1744	BIOS 512 - 001 Data Science Basics	TuTh 11:00AM - 12:15PM	Charles Pepe-Ranney	Rosenau Hall-Rm 0228	Seats filled	11/50	21/60	32/999
Description: Students will gain proficiency with R, data wrangling, data quality control and cleaning, data visualization, exploratory data analysis, with an overall emphasis on the principles of good data science, particularly reproducible research. The course will also develop familiarity with several software tools for data science best practices, such as Git, Docker, Jupyter, Make, and Nextflow. 3 units.
1137	BIOS 600 - 001 Principles of Statistical Inference	TuTh 8:00AM - 9:15AM	Kara McCormack	Hooker Research Cen-Rm 0001	Seats filled	46/100	51/105	5/999
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.
1590	BIOS 600 - 601 Principles of Statistical Inference	Tu 3:30PM - 4:50PM	Kara McCormack	Hooker Research Cen-Rm 0001	51/105	Seats filled	51/105	5/999
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.
1672	BIOS 611 - 001 Introduction to Data Science	MoWe 3:35PM - 4:50PM	Jonathan Toups	McGavran-Greenberg -Rm 1301	6/20	6/50	12/70	0/999
Description: Prerequisites, MATH 232 and 416, and STOR 151. Topics will include gaining proficiency with R and Python, data wrangling, data quality control and cleaning, data visualization, exploratory data analysis, and introductory applied optimization, with an overall emphasis on the principles of good data science, particularly reproducible research. Some emphasis will be given to large data settings such as genomics or claims data. The course will also develop familiarity with software tools for data science best practices, such as Git, Docker, Jupyter, and Nextflow. 4 units.
1849	BIOS 641 - 001 Quantitative Methods for Health Care Professionals I	TuTh 9:30AM - 11:30AM	Vanessa Miller	TBA	Seats filled	0/60	0/60	0/999
Description: Course is designed to meet the needs of health care professionals to appraise the design and analysis of medical and health care studies and who intend to pursue academic research careers. Covers basics of statistical inference, analysis of variance, multiple regression, categorical data analysis. Previously offered as PUBH 741. Permission of instructor. 4 units.
1139	BIOS 650 - 001 Basic Elements of Probability and Statistical Inference I	TuTh 9:30AM - 10:45AM	Fei Zou	McGavran-Greenberg -Rm 2301	Seats filled	36/60	46/70	14/999
Description: Required preparation, two semesters of calculus (such as MATH 231, 232). Fundamentals of probability; discrete and continuous distributions; functions of random variables; descriptive statistics; fundamentals of statistical inference, including estimation and hypothesis testing. 3 units.
1141	BIOS 660 - 001 Probability and Statistical Inference I	TuTh 12:30PM - 1:45PM	JIANWEN CAI	Hooker Research Cen-Rm 0001	6/10	0/60	6/70	0/999
Description: Required preparation, three semesters of calculus (such as MATH 231, 232, 233). Introduction to probability; discrete and continuous random variables; expectation theory; bivariate and multivariate distribution theory; regression and correlation; linear functions of random variables; theory of sampling; introduction to estimation and hypothesis testing. 3 units.
1142	BIOS 662 - 001 Intermediate Statistical Methods	MoWe 1:25PM - 3:10PM	Yusha Liu	McGavran-Greenberg -Rm 1301	1/15	4/60	5/75	0/999
Description: Pre- or corequisites, BIOS 511 and 650. Principles of study design, descriptive statistics, sampling from finite and infinite populations, inferences about location and scale. Both distribution-free and parametric approaches are considered. Gaussian, binomial, and Poisson models, one-way and two-way contingency tables. 4 units.
1143	BIOS 665 - 001 Analysis of Categorical Data	TuTh 11:00AM - 12:15PM	Gary Koch, Todd Schwartz	Hooker Research Cen-Rm 0001	24/90	Seats filled	24/90	0/999
Description: Prerequisites, BIOS 645, 650, and 662; permission of the instructor for students lacking the prerequisites. Introduction to the analysis of categorized data: rates, ratios, and proportions; relative risk and odds ratio; Cochran-Mantel-Haenszel procedure; survivorship and life table methods; linear models for categorical data. Applications in demography, epidemiology, and medicine. 3 units.
1248	BIOS 665 - 601 Analysis of Categorical Data	Tu 3:30PM - 4:45PM	Gary Koch, Todd Schwartz	McGavran-Greenberg -Rm 1305	3/30	Seats filled	3/30	0/999
Description: Prerequisites, BIOS 645, 650, and 662; permission of the instructor for students lacking the prerequisites. Introduction to the analysis of categorized data: rates, ratios, and proportions; relative risk and odds ratio; Cochran-Mantel-Haenszel procedure; survivorship and life table methods; linear models for categorical data. Applications in demography, epidemiology, and medicine. 0 units.
1249	BIOS 665 - 602 Analysis of Categorical Data	We 3:35PM - 5:30PM	Gary Koch, Todd Schwartz	McGavran-Greenberg -Rm 2301	13/30	Seats filled	13/30	0/999
Description: Prerequisites, BIOS 645, 650, and 662; permission of the instructor for students lacking the prerequisites. Introduction to the analysis of categorized data: rates, ratios, and proportions; relative risk and odds ratio; Cochran-Mantel-Haenszel procedure; survivorship and life table methods; linear models for categorical data. Applications in demography, epidemiology, and medicine. 0 units.
1250	BIOS 665 - 603 Analysis of Categorical Data	Th 3:30PM - 4:45PM	Gary Koch, Todd Schwartz	McGavran-Greenberg -Rm 1305	8/30	Seats filled	8/30	0/999
Description: Prerequisites, BIOS 645, 650, and 662; permission of the instructor for students lacking the prerequisites. Introduction to the analysis of categorized data: rates, ratios, and proportions; relative risk and odds ratio; Cochran-Mantel-Haenszel procedure; survivorship and life table methods; linear models for categorical data. Applications in demography, epidemiology, and medicine. 0 units.
1144	BIOS 667 - 001 Applied Longitudinal Data Analysis	MoWe 1:25PM - 2:40PM	Naim Rashid	Rosenau Hall-Rm 0228	5/25	Seats filled	25/45	1/999
Description: Prerequisites, BIOS 661 and BIOS 663; permissions from the instructor for students lacking the prerequisite. Matrix-based longitudinal data analysis emphasizing applications and interpretation. Linear and generalized linear, marginal and mixed regression models. Fixed effects and random effects. Maximum likelihood, REML, GEE. Regression diagnostics. Sample size. Simulation of longitudinal data. 3 units.
1525	BIOS 672 - 001 Topics in Real Analysis, Introduction to Measure Theory	Tu 3:30PM - 4:20PM	JIANWEN CAI	McGavran-Greenberg -Rm 2308	1/15	2/25	3/40	0/999
Description: Corequisite, BIOS 660. Selected topics in calculus, real analysis including Taylor's series, Riemann, Stieltjes and Lebesgue integration, and complex variables. Introduction to measure theory. 1 units.
11959	BIOS 680 - 001 Introductory Survivorship Analysis	MoWe 11:15AM - 12:30PM	HAIBO ZHOU	McGavran-Greenberg -Rm 1305	Seats filled	Seats filled	35/35	1/999
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.
1145	BIOS 691 - 001 Field Observations in Biostatistics	Mo 2:30PM - 4:25PM	Kara McCormack	Rosenau Hall-Rm 0133	30/55	16/35	46/90	0/999
Description: Field visits to, and evaluation of, major nonacademic biostatistical programs in the Research Triangle area. Field fee: $25. 1 units.
14520	BIOS 740 - 001 Specialized Methods in Health Statistics	TuTh 11:00AM - 12:15PM	KINH TRUONG	Hooker Research Cen-Rm 0003	6/30	Seats filled	6/30	0/999
Description: Permission of the instructor. Statistical theory applied to special problem areas of timely importance in the life sciences and public health. Lectures, seminars, and/or laboratory work, according to the nature of the special area under study. 1 - 21 units.
14521	BIOS 752 - 001 Design and Analysis of Clinical Trials	TuTh 12:30PM - 1:45PM	ANASTASIA IVANOVA	Hooker Research Cen-Rm 0003	19/30	Seats filled	19/30	0/999
Description: Prerequisites, BIOS 600 and 661. This course will introduce the methods used in clinical. Topics include dose-finding trials, allocation to treatments in randomized trials, sample size calculation, interim monitoring, and non-inferiority trials. 3 units.
1147	BIOS 760 - 001 Advanced Probability and Statistical Inference I	MoWe 9:05AM - 10:50AM	Ivana Malenica	Rosenau Hall-Rm 0235	Seats filled	13/40	13/40	0/999
Description: Prerequisite, BIOS 661; permission of the instructor for students lacking the prerequisite. Measure space, sigma-field, measurable functions, integration, conditional probability, distribution functions, characteristic functions, convergence modes, SLLN, CLT, Cramer-Wold device, delta method, U-statistics, martingale central limit theorem, UMVUE, estimating function, MLE, Cramer-Rao lower bound, information bounds, LeCam's lemmas, consistency, efficiency, EM algorithm. 4 units.
1148	BIOS 762 - 001 Theory and Applications of Linear and Generalized Linear Models	Mo 11:15AM - 1:15PM	Joseph Ibrahim	McGavran-Greenberg -Rm 2306	Seats filled	3/22	3/22	0/999
Description: Prerequisites, BIOS 661 and 663, MATH 547, and 416 or 577; Co-requisite, BIOS 760. Linear algebra, matrix decompositions, estimability, multivariate normal distributions, quadratic forms, Gauss-Markov theorem, hypothesis testing, experimental design, general likelihood theory and asymptotics, delta method, exponential families, generalized linear models for continuous and discrete data, categorical data, nuisance parameters, over-dispersion, multivariate linear model, generalized estimating equations, and regression diagnostics. 4 units.
14522	BIOS 777 - 001 Precision Medicine and Machine Learning	MoWe 9:05AM - 10:20AM	Michael Kosorok	Rosenau Hall-Rm 0228	18/40	Seats filled	18/40	0/999
Description: Prerequisites, BIOS 661 and 663 or equivalent. In this course, we will address precision medicine from a statistical and machine learning perspective with numerous examples of application. We will develop a working knowledge of the following inter-related areas in the context of precision medicine and precision health: dynamic treatment regimes; causal inference for precision medicine; study designs such as SMARTs, basic and advanced machine learning and artificial intelligence tools, including deep learning, outcome weighted learning, reinforcement learning and Markov decision processes. 3 units.
1362	BIOS 780 - 001 Theory and Methods for Survival Analysis	TuTh 9:30AM - 10:45AM	DANYU LIN	McGavran-Greenberg -Rm 1305	Seats filled	21/35	21/35	0/999
Description: Prerequisites, BIOS 760 and 761; permission of the instructor for students lacking the prerequisites. Counting process-martingale theory, Kaplan-Meier estimator, weighted log-rank statistics, Cox proportional hazards model, nonproportional hazards models, multivariate failure time data. 3 units.
1149	BIOS 843 - 001 Seminar in Biostatistics	Th 3:30PM - 4:30PM	David Zhang, Didong Li	Hooker Research Cen-Rm 0001	Seats filled	46/100	46/100	1/999
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.