MyPlan: EPI 511. Population, and the effects of the built environment on activity. Second in a two course sequence. View course details in MyPlan: stat 524 stat 527 Nonparametric Regression and Classification (3) Covers techniques for smoothing and classification including spline social policy dissertation models, kernel methods, generalized additive models, and the averaging of multiple models.
Statistics - University of Washington
Methods of data analysis in thesis
View course details in MyPlan: stat 394 stat 395 Probability II (3) NW Random variables; expectation and variance; laws of large numbers; normal approximation and other limit theorems; multidimensional distributions and transformations. Prerequisite: either stat 341, stat 390/math 390, or stat 391; recommended: math 308. Offered: jointly with math 492;. View course details in MyPlan: stat 425 stat 427 Introduction to Analysis of Categorical Data (4) NW Techniques for analysis of count data. Includes additional topics in probability and statistics of discrete structures, general purpose discrete optimization algorithms like dynamic programming and minimum spanning tree, and applications to data analysis. Evaluation of biomarkers, preliminary studies, methodologic issues, quality control. Prerequisite: either stat 340 or stat/math 394 and stat/math 395; either stat/econ 311 or stat/math 390; either a minimum grade.5 in math 136 or math 327. Skalski Theory and applications of sampling finite populations including: simple random sampling, stratified random sampling, ratio estimates, regression estimates, systematic sampling, cluster sampling, sample size determinations, applications in fisheries and forestry. Integrates knowledge from different fields of cancer research, with guest lectures from experts in epidemiology and cancer biology. Prerequisite: minimum grade.0 in math 394/stat 394 and math 395/stat 395, or minimum grade.0 in stat 340 and stat 341 and math 396/stat 396.