BSTA 551 – Theory of Statistical Inference I
Biography
This course provides an introduction to the theoretical foundation in biostatistics. Topics will include distributions of random variables (location-scale families and exponential families), data reduction (sufficiency and completeness of statistics), methods of estimation (method of moment estimators and maximum likelihood estimators), convergence, finite and large sample properties of estimators, interval estimation, hypothesis testing, and asymptotic tests (likelihood-ratio tests, score tests, and Wald tests). Students will also learn how to conduct statistical simulations to evaluate statistical methods.
Prerequisites
- BSTA 550 Introduction to Probability
- Differential and Integral calculus
¹ CEPH Primary Instructional Faculty
² CEPH Non-Primary Instructional Faculty
Experienced Faculty With Diverse Backgrounds
More than 150 faculty members work within the OHSU-PSU School of Public Health. They have a wide range of expertise, from monitoring and assessing health risks and opportunities in populations, to helping build health-supporting social environments through policy, advocacy, and programs. They are educators, advisors, researchers, practitioners and community leaders. They come from backgrounds in quantitative, behavioral, environmental and social sciences, policy and government, exercise and health sciences and anthropology, among many other areas. They all work in collaboration with each other and with community partners, and are especially focused on the training and education of future leaders and practitioners in the public health fields.
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