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Course Criteria
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3.00 Credits
Topics include lifetime distributions, hazard functions, competing-risks, proportional hazards, censored data, accelerated-life models, Kaplan-Meier estimator, stochastic models, renewal processes, and Bayesian methods for lifetime and reliability data analysis.
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3.00 Credits
Covers the main topics required by students preparing for the examinations in Actuarial Statistics, set by the American Society of Actuaries. Topics include life tables, life insurance and annuities, survival distributions, net premiums and premium reserves, multiple life functions and decrement models, valuation of pension plans, insurance models, and benefits and dividends.
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3.00 Credits
Introduction to the basic concepts in experimental design, analysis of variance, multiple comparison tests, completely randomized design, general linear model approach to ANOVA, randomized block designs, Latin square and related designs, completely randomized factorial design with two or more treatments, hierarchical designs, split-plot and confounded factorial designs, and analysis of covariance.
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3.00 Credits
Studies the basic time series models in both the time domain (ARMA models) and the frequency domain (spectral models), emphasizing application to real data sets.
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3.00 Credits
Discussion of the main designs and estimation techniques used in sample surveys: simple random sampling, stratification, cluster sampling, double sampling, post-stratification, ratio estimation. Non-response problems and measurement errors will also be discussed. Many properties of sample surveys will be developed through simulation procedures. The SUDAAN software package for analyzing sample surveys will be used. This course may be used for graduate degrees in the Department of Statistics. Students who have received credit for STAT 313 may not take STAT 520 for credit; this course may not be used for graduate degrees in the Department of Statistics.
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3.00 Credits
Studies statistical distribution theory, moments, transformations of random variables, point estimation, hypothesis testing, and confidence regions.
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3.00 Credits
Longitudinal Data Analysis Credits: 3
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3.00 Credits
Categorical Data Analysis Credits: 3
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3.00 Credits
Statistical Modeling in Medicine Credits: 3
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3.00 Credits
Studies experimental designs for randomized clinical trials, sources of bias in clinical studies, informed consent, logistics, and interim monitoring procedures (group sequential and Bayesian methods).
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