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STAT 437: APPLIED REGRESSION ANALYSIS
3.00 Credits
Old Dominion University
Lecture 3 hours; 3 credits. Prerequisite: A grade of C or better in STAT 330 or 310W or 431/531. Suggested corequisite: STAT 405/505. Topics include theory of least squares, simple linear regression, multiple regression (including its matrix formulation), applications of these techniques to real life data, residual analysis, selection of variables, multicollinearity issues, regression on dummy variables, and analysis of covariance.
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STAT 437 - APPLIED REGRESSION ANALYSIS
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STAT 440: CLINICAL TRIALS
3.00 Credits
Old Dominion University
Lecture 3 hours; 3 credits. Prerequisite: A grade of C or better in STAT 431/531. An introduction to statistical methods used in the design, conduct, and analysis of clinical trials. Topics include: study designs, treatment allocation, sample size and power, clinical life tables, log rank test, cross-over designs, and sequential methods of monitoring clinical trials.
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STAT 440 - CLINICAL TRIALS
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STAT 442: ENVIRONMENTAL STATISTICS
3.00 Credits
Old Dominion University
Lecture 3 hours; 3 credits. Prerequisite: A grade of C or better in STAT 310W or 330 or permission of the instructor. Topics include basic probability distributions, modeling the number of exceedances using the binomial and Poisson distributions, modeling environmental data using the normal process, environmental monitoring, impact assessment, assessing site reclamation, concept of autocorrelation, diffusion and dispersion of pollutants, distributions with respect to space and time, applications to measuring indoor air quality, water quality, etc. Emphasis will be on the applications of these tools to environmental data using statistical software.
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STAT 442 - ENVIRONMENTAL STATISTICS
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STAT 447: ANALYSIS OF LONGITUDINAL DATA
3.00 Credits
Old Dominion University
Lecture 3 hours; 3 credits. Prerequisite: A grade of C or better in STAT 431/531. Suggested corequisite: STAT 405/505. Topics include general linear models, the weighted least squares (WLS), the maximum likelihood (ML), the restricted maximum likelihood (REML) methods of estimation, analysis of continuous response repeated measures data, parametric models for covariance structure, general estimating equations (GEE) and quasi least squares (QLS), models for discrete longitudinal data: marginal, random effects, and transition models. Limitations of existing approaches will be discussed. Emphasis will be on the application of these tools to data related to the biological and health sciences. Methods will be implemented using statistical software.
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STAT 447 - ANALYSIS OF LONGITUDINAL DATA
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STAT 449: NONPARAMETRIC STATISTICS
3.00 Credits
Old Dominion University
Lecture 3 hours; 3 credits. Prerequisite: STAT 330 or 331 or departmental permission. Topics include the theory and applications of binomial tests and rank tests, including the tests of McNemar, Mann-Whitney, Friedman, Kruskal-Wallis, and Smirnov.
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STAT 449 - NONPARAMETRIC STATISTICS
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STAT 450: CATEGORICAL DATA ANALYSIS
3.00 Credits
Old Dominion University
Lecture 3 hours; 3 credits. Prerequisite: A grade of C or better in STAT 431/531. Suggested corequisite: STAT 405/505. Topics include relative risk and odds ratio measures for 2 x 2 tables, the chi-square and Mantel-Haenszel tests, Fisher?s exact test, analysis of sets of 2 x 2 tables using Cochran-Mantel-Haenszel methodology, analysis of I x J and sets of I x J tables for both nominal and ordinal data, logistic regression including the logit and probit models, and building and applying loglinear models. Emphasis will be on the application of these statistical tools to data related to the health and social sciences. Interpretation of computer output will be stressed.
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STAT 450 - CATEGORICAL DATA ANALYSIS
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STAT 460: STAT SIM/PRGMNG W/STAT SFTWRE
0.00 - 3.00 Credits
Old Dominion University
No course description available.
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STAT 460 - STAT SIM/PRGMNG W/STAT SFTWRE
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STAT 497: TOPICS IN STATISTICS
1.00 - 3.00 Credits
Old Dominion University
1-3 credits. Prerequisite: permission of the instructor.
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STAT 497 - TOPICS IN STATISTICS
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STAT 4ELE: ELECTIVE
0.00 - 12.00 Credits
Old Dominion University
No course description available.
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STAT 4ELE - ELECTIVE
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STAT 505: INTRODUCTION TO DATA HANDLING
1.00 Credits
Old Dominion University
Lecture 1 hour; laboratory .50 hour; 1 credit. Prerequisite: A grade of C or better in STAT 130M or equivalent, or permission of the instructor. Laboratory work required. Use of SAS or R to bring data sets to a form suitable for statistical analysis. Focus is on the data step and related utilities, including data input, merging of data sets, creating new variables, sorting, printing, charting and formatting. Includes a brief overview of some statistical procedures.
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STAT 505 - INTRODUCTION TO DATA HANDLING
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