Classes taught at Oklahoma State University
STAT 5013: Statistics for Experimenters I (Graduate). (Fall 2018-2022)
Introductory statistics course for graduate students. Descriptive statistics, basic probability, estimation, hypothesis testing, p-values, analysis of variance, multiple comparisons, correlation and linear regression, categorical data analysis.
STAT 5023: Statistics for Experimenters II (Graduate). (Spring 2019)
Analysis of variance, contrasts and multiple comparisons, factorial experiments, variance components and their estimation, completely randomized, randomized block and Latin square designs, split plot experiments.
STAT 5083: Statistics for Biomedical Researchers (Graduate). (Spring 2020, 2022)
Analysis of variance, experimental designs pertaining to medical research, regression and data modeling, categorical techniques and the evaluation of diagnostic tests.
STAT 4043: Applied Regression Analysis (Graduate, Undergrad). (Fall 2018 - Spring 2023)
Matrix algebra, simple linear regression, residual analysis techniques, multiple regression, dummy variables.
STAT 6203: Large Sample Inference (Graduate). (Spring 2021, 2023)
Different types of convergence in probability theory, central limit theorem, consistency, large sample estimation and tests of hypotheses, concepts of asymptotic efficiency, nonparametric tests.
Classes taught at University of Colorado, Denver
BIOS 6606: Statistics for Basic Sciences (Graduate) (Fall 2017)
This course is designed for those wishing to obtain a basic understanding of statistics and its applications in biological research. Students will develop statistical literacy and an ability to perform basic statistical analyses, basic graphical statistics, data summarizations, and estimation and inference using statistical software.
Guest lectures at University of Colorado, Denver
BIOS 7659: Statistical Methods in Genomics (Fall 2016)
BIOS 6640: Python and R in Data Science (Spring 2016)
BIOS 7731: Advanced Mathematical Statistics-I (Fall 2015)