BIOS Courses

Here is information about BIOS class enrollment for fall 2023. Classes with no meeting time listed are not shown. Feel free to contact me with any questions/comments/issues.

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Data also available for: COMP, AAAD, AMST, APPL, BIOL, BIOS, BMME, CHEM, CMPL, COMM, DRAM, EDUC, EPID, INLS, MATH, MEJO, PHIL, PSYC, STOR, WGST

Data last updated: 2023-11-06 16:03:34.705306

Class Number	Class	Meeting Time	Instructor	Room	Unreserved Enrollment	Reserved Enrollment	Wait List
1400	BIOS 500H - 001 Introduction to Biostatistics	TuTh 11:00AM - 12:15PM	Jane Monaco	Rosenau (PH) - Rm 0228	Seats filled (24 total)	Seats filled
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.
1903	BIOS 500H - 002 Introduction to Biostatistics	TuTh 12:30PM - 1:45PM	Jane Monaco	Rosenau (PH) - Rm 0133	Seats filled (24 total)	23/24
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.
1174	BIOS 511 - 001 Introduction to Statistical Computing and Data Management	MoWe 9:05AM - 9:55AM	Jane Eslinger	McGavran-Greenberg PH-Rm 2306	Seats filled (60 total)	Seats filled	0/20
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.
12631	BIOS 511 - 002 Introduction to Statistical Computing and Data Management	MoWe 8:00AM - 8:50AM	Jane Eslinger	McGavran-Greenberg PH-Rm 1304	Seats filled (45 total)	21/45	0/10
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.
1302	BIOS 511 - 601 Introduction to Statistical Computing and Data Management	MoWe 10:10AM - 11:00AM	Jane Eslinger	McGavran-Greenberg PH-Rm 2306	Seats filled (60 total)	Seats filled	0/20
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.
12636	BIOS 511 - 602 Introduction to Statistical Computing and Data Management	MoWe 9:05AM - 9:55AM	Jane Eslinger	McGavran-Greenberg PH-Rm 1304	21/45 (45 total)	Seats filled	0/10
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.
1958	BIOS 512 - 001 Data Science Basics	TuTh 11:00AM - 12:15PM	Charles Pepe-Ranney	Rosenau (PH) - Rm 0133	Seats filled (50 total)	48/50	0/7
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.
1173	BIOS 600 - 001 Principles of Statistical Inference	TuTh 8:00AM - 9:15AM	Marcus Herman-Giddens	McGavran-Greenberg PH-Rm 1301	Seats filled (100 total)	Seats filled	0/20
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.
1762	BIOS 600 - 601 Principles of Statistical Inference	Tu 3:30PM - 4:50PM	Marcus Herman-Giddens	McGavran-Greenberg PH-Rm 1301	Seats filled (100 total)	Seats filled
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.
1867	BIOS 611 - 001 Introduction to Data Science	MoWe 3:35PM - 4:50PM	Jonathan Toups	Rosenau (PH) - Rm 0228	Seats filled (50 total)	Seats filled	0/5
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.
2101	BIOS 641 - 001 Quantitative Methods for Health Care Professionals I	TuTh 9:30AM - 11:30AM	Vanessa Miller	TBA	Seats filled (60 total)	34/60
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.
1175	BIOS 650 - 001 Basic Elements of Probability and Statistical Inference I	TuTh 9:30AM - 10:45AM	KINH TRUONG	Rosenau (PH) - Rm 0228	Seats filled (60 total)	30/35	0/5
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.
1177	BIOS 660 - 001 Probability and Statistical Inference I	TuTh 12:30PM - 1:45PM	JIANWEN CAI	Rosenau (PH) - Rm 0235	7/15	40/45	0/6
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.
1178	BIOS 662 - 001 Intermediate Statistical Methods	TuTh 7:30AM - 9:15AM	David Couper	Michael Hooker Research Ctr-01	3/5 (60 total)	Seats filled	0/8
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.
1179	BIOS 665 - 001 Analysis of Categorical Data	TuTh 11:00AM - 12:15PM	Gary Koch, Todd Schwartz	McGavran-Greenberg PH-Rm 1301	59/90 (90 total)	Seats filled
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.
1307	BIOS 665 - 601 Analysis of Categorical Data	Tu 3:30PM - 4:45PM	Gary Koch, Todd Schwartz	Rosenau (PH) - Rm 0228	27/30 (30 total)	Seats filled
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.
1308	BIOS 665 - 602 Analysis of Categorical Data	We 3:35PM - 5:30PM	Gary Koch, Todd Schwartz	Michael Hooker Research Ctr-03	22/30 (30 total)	Seats filled
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.
1309	BIOS 665 - 603 Analysis of Categorical Data	Th 3:30PM - 4:45PM	Gary Koch, Todd Schwartz	McGavran-Greenberg PH-Rm 1304	10/30 (30 total)	Seats filled
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.
1180	BIOS 667 - 001 Applied Longitudinal Data Analysis	MoWe 1:25PM - 2:40PM	BAHJAT QAQISH	McGavran-Greenberg PH-Rm 1304	22/25 (45 total)	Seats filled	0/5
Description: Prerequisite, BIOS 663; permissions from the instructor for students lacking the prerequisite. Analysis of variance and multiple linear regression course at the level of BIOS 663 required. Familiarity with matrix algebra required. Univariate and multivariate repeated measures ANOVA, GLM for longitudinal data, linear mixed models. Estimation and inference, maximum and restricted maximum likelihood, fixed and random effects. 3 units.
1681	BIOS 672 - 001 Topics in Real Analysis, Introduction to Measure Theory	Tu 3:30PM - 4:20PM	JIANWEN CAI	McGavran-Greenberg PH-Rm 2306	1/15	22/25
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.
1181	BIOS 691 - 001 Field Observations in Biostatistics	Mo 2:30PM - 4:25PM	Kara McCormack, Jane Monaco	McGavran-Greenberg PH-Rm 1301	Seats filled (90 total)	Seats filled
Description: Field visits to, and evaluation of, major nonacademic biostatistical programs in the Research Triangle area. Field fee: $25. 1 units.
14254	BIOS 752 - 001 Design and Analysis of Clinical Trials	TuTh 12:30PM - 1:45PM	ANASTASIA IVANOVA	McGavran-Greenberg PH-Rm 1304	Seats filled (40 total)	Seats filled	0/11
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.
1183	BIOS 760 - 001 Advanced Probability and Statistical Inference I	MoWe 9:05AM - 10:50AM	Michael Kosorok	Rosenau (PH) - Rm 0228	Seats filled (40 total)	30/40
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.
1184	BIOS 762 - 001 Theory and Applications of Linear and Generalized Linear Models	Mo 11:15AM - 1:15PM	Joseph Ibrahim	McGavran-Greenberg PH-Rm 2306	Seats filled (25 total)	Seats filled	0/1
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.
2040	BIOS 772 - 001 Statistical Analysis of MRI Images	TuTh 11:00AM - 12:15PM	HONGTU ZHU	McGavran-Greenberg PH-Rm 2306	11/30 (30 total)	Seats filled
Description: The course will review major statistical methods for the analysis of MRI and its applications in various studies. 3 units.
1459	BIOS 780 - 001 Theory and Methods for Survival Analysis	TuTh 9:30AM - 10:45AM	DANYU LIN	McGavran-Greenberg PH-Rm 1305	Seats filled (35 total)	20/35
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.
1185	BIOS 843 - 001 Seminar in Biostatistics	Th 3:30PM - 4:30PM	Tanya Garcia, Didong Li	Rosenau (PH) - Rm 0133	Seats filled (100 total)	71/100
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.