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BIOST 528: SPEC TOP INT BIOST
3.00 Credits
University of Washington-Seattle Campus
No course description available.
Prerequisite:
Separate File
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BIOST 528 - SPEC TOP INT BIOST
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BIOST 529: Sample Survey Techniques
3.00 Credits
University of Washington-Seattle Campus
Design and implementation of selection and estimation procedures. Emphasis on human populations. Simple, stratified, and cluster sampling; multistage and two-phase procedures; optimal allocation of resources; estimation theory; replicated designs; variance estimation; national samples and census materials. Offered: jointly with CS&SS 529/STAT 529.
Prerequisite:
either STAT 421, STAT 423, STAT 504, QMETH 500, BIOST 511, or BIOST 517, or equivalent or permission of instructor
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BIOST 532: STATISTICAL GENETIC
2.00 Credits
University of Washington-Seattle Campus
No course description available.
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BIOST 532 - STATISTICAL GENETIC
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BIOST 533: Classical Theory of Linear Models
3.00 Credits
University of Washington-Seattle Campus
Introduction to one-, two-way analysis of variance; randomized blocks; fixed, random effects, multiple comparisons. Statistical distribution theory for quadratic forms of normal variables. Fitting of the general linear model by least squares. Offered: jointly with STAT 533; Sp.
Prerequisite:
BIOST 515, STAT 421 or STAT 423; and STAT 513; and a course in matrix algebra
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BIOST 533 - Classical Theory of Linear Models
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BIOST 534: Statistical Computing
3.00 Credits
University of Washington-Seattle Campus
Introduction to scientific computing. Includes programming tools, modern programming methodologies, (modularization, object oriented design), design of data structures and algorithms, numerical computing and graphics. Uses C++ for several substantial scientific programming projects. Offered: jointly with STAT 534; Sp.
Prerequisite:
experience with programming in a high level language
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BIOST 534 - Statistical Computing
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BIOST 535: Statistical Computing
3.00 Credits
University of Washington-Seattle Campus
Introduction to scientific computing. Includes programming tools, modern programming methodologies, (modularization, object oriented design), design of data structures and algorithms, numerical computing and graphics. Uses C++ for several substantial scientific programming projects. Offered: jointly with STAT 535; A.
Prerequisite:
experience with programming in a high level language
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BIOST 535 - Statistical Computing
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BIOST 536: Categorical Data Analysis in Epidemiology
4.00 Credits
University of Washington-Seattle Campus
Summary of univariate categorical data analysis; introduction to multivariate analysis of categorical epidemiologic data using multiplicative models. Experience at interpretation; familiarity with available programs gained by analysis of bona fide data, critiques of analyses appearing in literature. Offered: jointly with EPI 536; A.
Prerequisite:
BIOST 515; EPI 513 and either BIOST 513 or BIOST 518; or permission of instructor
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BIOST 536 - Categorical Data Analysis in Epidemiology
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BIOST 537: Survival Data Analysis in Epidemiology
4.00 Credits
University of Washington-Seattle Campus
Introduction to multivariate analysis of survival data using multiplicative models. Application to epidemiologic studies. Familiarity with interpretation and available computer programs gained by analysis of bona fide sets of data and critiques of analyses appearing in the literature. Offered: jointly with EPI 537; W.
Prerequisite:
BIOST 536 or permission of instructor
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BIOST 537 - Survival Data Analysis in Epidemiology
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BIOST 538: Statistical Computing
3.00 Credits
University of Washington-Seattle Campus
Introduction to scientific computing. Includes programming tools, modern programming methodologies, (modularization, object oriented design), design of data structures and algorithms, numerical computing and graphics. Uses C++ for several substantial scientific programming projects. Offered: jointly with STAT 538; W.
Prerequisite:
experience with programming in a high level language
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BIOST 538 - Statistical Computing
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BIOST 540: Correlated Data Regression
3.00 Credits
University of Washington-Seattle Campus
Introduction to regression modeling of longitudinal and clustered data from epidemiology and health sciences. Interpretation and familiarity with available programs gained by analysis of bona fide data; critiques of analyses appearing in literature. Offered: Sp.
Prerequisite:
Either BIOST 513, BIOST 515, BIOST 518, BIOST 536, or permission of instructor
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BIOST 540 - Correlated Data Regression
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