Editing UW Statistics Courses
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There are many useful courses offered by the Center for Statistics in the Social Sciences (CSSS). Most of CSSS classes are applied and will give you a chance to apply the methods that you learn to your own projects. Try to take advantage of these opportunities to make progress on your research. CSSS 509 is an exception, and will be discussed below under econometrics. | There are many useful courses offered by the Center for Statistics in the Social Sciences (CSSS). Most of CSSS classes are applied and will give you a chance to apply the methods that you learn to your own projects. Try to take advantage of these opportunities to make progress on your research. CSSS 509 is an exception, and will be discussed below under econometrics. | ||
'''CSSS566, Causal Inference''' CS&SS 566 is good. It covers experimental, instrumental variable, and quasi-experimental designs, structural equation modeling, and DAGs. It takes a relatively philosophical and theoretical approach to causality and shows that common assumptions about causal identification can be wrong (e.g adding a variable to your model ''can''introduce bias (in theory). | |||
'''CS&SS504, Applied Regression''' is an applied, but still technical course on regression. It may vary based on who is teaching the class. This will be the default option for [[CDSC]] students. | '''CS&SS504, Applied Regression''' is an applied, but still technical course on regression. It may vary based on who is teaching the class. This will be the default option for [[CDSC]] students. | ||
'''CS&SS 560, hierarchical modeling''' is important. Hierarchical models are the bread and butter for working with datasets that have community level variables and individual level variables, or that have longitudinal data. | '''CS&SS 560, hierarchical modeling''' is important. Hierarchical models are the bread and butter for working with datasets that have community level variables and individual level variables, or that have longitudinal data. | ||
== Mathematical Statistics and Econometrics == | == Mathematical Statistics and Econometrics == |