All our courses are taught in a typical lecture style classroom setting. Some courses utilize a hybrid style approach where students can view videos on certain topics allowing a more in depth discussion in class. Introductory classes are generally large lecture hall classes with these classes broken up into smaller groups for recitations, where teaching assistants review homework problems. Upper level courses are intended to be much smaller, but will possibly still be as large as 50 students.
Biostatistics (STA)
Statistics
706 Kimball TowerSouth Campus
Buffalo, NY 14214-3079
Gregory Wilding
Interim Chair
Interim Chair
Dietrich Kuhlmann
Director of Undergraduate Studies
Director of Undergraduate Studies
The Learning Environment
About Our Facilities
The statistics major is offered within the Department of Biostatistics. The department is based on South Campus and classes are taught on both the North Campus and the South Campus. Most classes are taught lecture style in both lecture halls for introductory courses and classrooms for advanced courses. Some courses make use of a modern computer lab for recitations or instruction.
About Our Faculty
The Department of Biostatistics has 12 full time faculty members. We will be adding 2 full time faculty members devoted to the undergraduate program. All our undergraduate courses are taught by faculty members. There are approximately 10 teaching assistants in the department that help with grading and recitations.
The department faculty are committed to quality teaching, are involved in academic research and have applied statistical methods in a variety of fields.
Faculty List Directory
Please visit the Biostatistics department website for more information on our faculty.
STA Courses
- STA 101LEC Probability & Statistics Lecture
Credits: 3
Grading: Graded (GRD)
Typically Offered: Varies
- STA 112LEC Introduction to Probability and Statistics II Lecture
Recommended for undergraduate students in the health sciences. Covers basic statistical concepts and techniques such as descriptive statistics, regression and correlation, analysis-of-variance, survival analysis and categorical data analysis as it pertains to clinical experiments and epidemiological investigations.
Credits: 3
Grading: Graded (GRD)
Typically Offered: Spring
- STA 119LEC Statistical Methods Lecture
Covers topics in descriptive statistics, probability, inference, and experimental design, all of which are put together to draw conclusions from uncertainty through analysis of experimental data. Although a general statistical methods course, the material (through examples) is geared towards sciences majors, especially those in the health sciences. Looks into the underlying reasoning behind the techniques rather than just pure application.
Credits: 3
Grading: Graded (GRD)
Typically Offered: Fall, Spring
Corequisites: Students must enroll in STA 119LEC and STA 119REC in the same term
- STA 119REC Statistical Methods Recitation
Covers topics in descriptive statistics, probability, inference, and experimental design, all of which are put together to draw conclusions from uncertainty through analysis of experimental data. Although a general statistical methods course, the material (through examples) is geared towards sciences majors, especially those in the health sciences. Looks into the underlying reasoning behind the techniques rather than just pure application.
Credits: 1
Grading: Graded (GRD)
Typically Offered: Fall, Spring
Corequisites: Students must enroll in STA 119LEC and STA 119REC in the same term
- STA 135LEC Horizons of the Sciences Lecture
Credits: 1
Grading: Graded (GRD)
Typically Offered: Varies
- STA 198SEM UB Seminar Seminar
The one credit UB Seminar is focused on a big idea or challenging issue to engage students with questions of significance in a field of study and, ultimately, to connect their studies with issues of consequence in the wider world. Essential to the UB Curriculum, the Seminar helps transition to UB through an early connection to UB faculty and the undergraduate experience at a comprehensive, research university. This course is equivalent to any 198 offered in any subject. This course is a controlled enrollment (impacted) course. Students who have previously attempted the course and received a grade of F or R may not be able to repeat the course during the fall or spring semester.
Credits: 1
Grading: Graded (GRD)
Typically Offered: Fall, Spring
Other Requisites: Students who have already successfully completed the UB seminar course may not repeat this course. If you have any questions regarding enrollment for this course, please contact your academic advisor.
- STA 199SEM UB Seminar Seminar
The three credit UB Seminar is focused on a big idea or challenging issue to engage students with questions of significance in a field of study and, ultimately, to connect their studies with issues of consequence in the wider world. Essential to the UB Curriculum, the Seminar helps students with common learning outcomes focused on fundamental expectations for critical thinking, ethical reasoning, and oral communication, and learning at a university, all within topic focused subject matter. The Seminars provide students with an early connection to UB faculty and the undergraduate experience at a comprehensive, research university. This course is equivalent to any 199 offered in any subject. This course is a controlled enrollment (impacted) course. Students who have previously attempted the course and received a grade of F or R may not be able to repeat the course during the fall or spring semester.
Credits: 3
Grading: Graded (GRD)
Typically Offered: Fall, Spring
Other Requisites: Students who have already successfully completed the first year seminar course may not repeat this course. If you have any questions regarding enrollment for this course, please contact your academic advisor.
- STA 207LEC Basic Stat & Computing Lecture
Credits: 3
Grading: Graded (GRD)
Typically Offered: Varies
- STA 207REC Basic Stat & Computing Recitation
Credits: 1
Grading: Graded (GRD)
Typically Offered: Varies
- STA 222LEC Conflicts in Science Lecture
Credits: 4
Grading: Graded (GRD)
Typically Offered: Varies
- STA 301LEC Intro to Probability
- STA 301REC Intro to Probability
- STA 302LEC Intro Stat Inference
- STA 302REC Intro Stat Inference
- STA 309LEC Stat Quality Control Lecture
Credits: 3
Grading: Graded (GRD)
Typically Offered: Fall, Spring
- STA 403LEC Statistical Comparisons and Associations Lecture
Advanced presentation of statistical methods for comparing populations and estimating and testing associations between variables. Topics include point estimation; confidence intervals; hypothesis testing; ANOVA models for 1, 2, and k way classifications; multiple comparisons; chi-square test of homogeneity; Fisher's exact test; McNemar's test; measures of association, including odds ratio, relative risks, Mantel-Haenszel tests of association, and standardized rates; repeated measures ANOVA; simple regression; and correlation.
Credits: 3
Grading: Graded (GRD)
Typically Offered: Fall
- STA 403LEC Regression Analysis Lecture
Covers regression analysis and introduction to linear models. Topics include multiple regression, analysis of covariance, least square means, logistic regression, and non-linear regression. The course includes a one-hour computer lab and emphasizes hands-on applications to datasets from the health sciences.
- STA 404LEC Analysis of Variance Lecture
Advanced presentation of statistical methods for comparing populations and estimating and testing associations between variables. Topics include point estimation; confidence intervals; hypothesis testing; ANOVA models for 1, 2, and k way classifications; multiple comparisons; chi-square test of homogeneity; Fisher's exact test; McNemar's test; measures of association, including odds ratio, relative risks, Mantel-Haenszel tests of association, and standardized rates; repeated measures ANOVA; simple regression; and correlation.
Credits: 3
Grading: Graded (GRD)
Typically Offered: Fall, Spring
Prerequisites: STA 403 Or Permission of Instructor
- STA 404LLB Regression Analysis Lecture
Covers regression analysis and introduction to linear models. Topics include multiple regression, analysis of covariance, least square means, logistic regression, and non-linear regression. The course includes a one-hour computer lab and emphasizes hands-on applications to datasets from the health sciences.
Credits: 3
Grading: Graded (GRD)
Typically Offered: Spring
- STA 405LAB Statistical Computation Laboratory
Credits: 1
Grading: Graded (GRD)
Typically Offered: Fall, Spring
- STA 406LEC Introduction to Statistical Computing Lecture
The purpose of this course is to familiarize students with PC-based statistical computing applications for public health. This course will develop basic skills in the use of a statistical package through classroom demonstrations and independent lab assignments. The course will emphasize data definition, verification, descriptive and inferential statistics, and graphical presentation. The course should familiarize the students with the use of a statistical package and give them the skills needed for effective data management, data manipulation, and data analysis at a basic level.
Credits: 3
Grading: Graded (GRD)
Typically Offered: Spring
Prerequisites: STA 119 or permission of instructor
- STA 411LEC Prob & Stoch Processes Lecture
Credits: 3
Grading: Graded (GRD)
Typically Offered: Fall, Spring
- STA 411REC Prob & Stoch Processes Recitation
Credits: 1
Grading: Graded (GRD)
Typically Offered: Fall, Spring
- STA 415LEC Distributn Free Inference Lecture
Credits: 3
Grading: Graded (GRD)
Typically Offered: Fall, Spring
- STA 421LEC Introduction to Theoretical Statistics I Lecture
Provides students with probability and distribution theory necessary for the study of statistics. Topics include axioms of probability theory, independence, conditional probability, random variables, discrete and continuous probability distributions, functions of random variables, moment generating functions, the Law of Large Numbers, and the Central Limit Theorem.
Credits: 3
Grading: Graded (GRD)
Typically Offered: Fall, Spring
- STA 421REC Introduction to Theoretical Statistics I Recitation
Provides students with probability and distribution theory necessary for the study of statistics. Topics include axioms of probability theory, independence, conditional probability, random variables, discrete and continuous probability distributions, functions of random variables, moment generating functions, the Law of Large Numbers, and the Central Limit Theorem.
Credits: 1
Grading: Graded (GRD)
Typically Offered: Spring
- STA 422LEC Introduction to Theoretical Statistics II Lecture
Introduces principles of statistical inference. Introduces and develops classical methods of estimation, tests of significance, the Neyman-Pearson Theory of testing hypotheses, maximum likelihood methods, and Bayesian statistics.
Credits: 3
Grading: Graded (GRD)
Typically Offered: Spring
- STA 422REC Introduction to Theoretical Statistics II Recitation
Introduces principles of statistical inference. Introduces and develops classical methods of estimation, tests of significance, the Neyman-Pearson Theory of testing hypotheses, maximum likelihood methods, and Bayesian statistics.
Credits: 1
Grading: Graded (GRD)
Typically Offered: Spring
- STA 427LEC Introduction to Biostatistics Lecture
Topics include descriptive statistics, probability concepts (such as independence and conditional probability), probability distributions of random variables, sampling distributions, estimation, confidence intervals, hypothesis testing, analysis of variance procedures, linear regression, and nonparametric methods. Computers and statistical packages are used throughout the course. Requires no extensive computer experience.
Credits: 3
Grading: Graded (GRD)
Typically Offered: Fall
Corequisites: Students need to enroll in STA 427REC and STA 427LEC in the same term.
- STA 427REC Introduction to Biostatistics Rec Recitation
Topics include descriptive statistics, probability concepts (such as independence and conditional probability), probability distributions of random variables, sampling distributions, estimation, confidence intervals, hypothesis testing, analysis of variance procedures, linear regression, and nonparametric methods. Computers and statistical packages are used throughout the course. Requires no extensive computer experience.
Credits: 1
Grading: Graded (GRD)
Typically Offered: Fall
Corequisites: Students need to enroll in STA 427REC and STA 427LEC in the same term.
- STA 431LEC Sample Survys Thery-Meths Lecture
Credits: 3
Grading: Graded (GRD)
Typically Offered: Spring
- STA 433LR Reg & Design Experiment I Lecture
Credits: 3
Grading: Graded (GRD)
Typically Offered: Fall, Spring
- STA 436LAB Data Analysis Intro Laboratory
Credits: 1
Grading: Graded (GRD)
Typically Offered: Fall, Spring
- STA 436LEC Exper Design & Anal Lecture
Credits: 3
Grading: Graded (GRD)
Typically Offered: Fall, Spring
- STA 443LEC Basic Information Theory Lecture
Credits: 3
Grading: Graded (GRD)
Typically Offered: Fall, Spring
- STA 461LEC Appld Time Series Analys Lecture
Credits: 4
Grading: Graded (GRD)
Typically Offered: Fall, Spring
- STA 471LEC Topics in Statistics 1 Lecture
Credits: 1 - 4
Grading: Graded (GRD)
Typically Offered: Fall, Spring
- STA 472LEC Topics in Statistics 2 Lecture
Credits: 1 - 4
Grading: Graded (GRD)
Typically Offered: Fall, Spring
- STA 499TUT Independent Study Tutorial
Credits: 1 - 16
Grading: Graded (GRD)
Typically Offered: Fall, Spring
Complementary Programs
- Mathematics BS - General Study in Mathematics Concentration
- Mathematics BA - Computing and Applied Mathematics Concentration
- Statistics Minor
- Mathematics BS - General Study in Applied Mathematics Concentration
- Mathematics BS - Actuarial Science Concentration
- Mathematics BA/MA
- Mathematics BA - General Study in Mathematics Concentration
- Mathematics BA - General Study in Applied Mathematics Concentration