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Course Criteria
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3.00 Credits
Prerequisite: PHCI or PHDA major, or Math major in Graduate School; Mathematical Tools (PHDA 660) and Probability (PHDA 661) or equivalent. This course in introductory statistical theory; includes limiting distributions, central limit theorem, point estimation, maximum likelihood estimation, least squares, sufficiency and completeness, confidence intervals, Bayesian estimation, Neyman-Pearson theory of hypothesis testing, statistical power, uniformly most powerful tests, likelihood ratio tests, non-central distributions, advanced topics as time permits.
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1.00 - 3.00 Credits
Prerequisite: PHCI or PHDA major, or Math major in Graduate School; Consent of instructor. A treatment of one or more topics in advanced Biostatisticsand /or Decision Science not usually covered in a regularly offered course. May be repeated under different subtitles.
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1.00 - 3.00 Credits
Prerequisite: PHCI or PHDA major, Consent of Instructor. Course allows students to pursue advanced study with faculty guidance on a topic related to biostatistics.
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3.00 Credits
Prerequisite: PHCI or PHDA major, or PHMPH majors or Math major in Graduate School; Corequisites: PHDA 661 or equivalent, or consent of instructor. A mathematically sophisticated presentation of principles and methods of: exploratory data analysis; statistical graphics; point estimation; interval estimation; hypothesis testing of means, proportions and counts; chi-square analysis; rate ratio; and Mantel-Haensel analysis. Matrix algebra is required. Data sets will be analyzed using statistical computer packages; examples will be drawn from the biomedical and public health literature. Emphasis will be placed on methods and models most useful in clinical research.
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3.00 Credits
Prerequisite: PHCI or PHDA major, or Math major in Graduate School; PHDA 680 or equivalent, or consent of instructor. A mathematically sophisticated introduction to: general linear models; regression; correlation; analysis of covariance; one and two-way analysis of variance; and multiple comparisons. Matrix algebra is required. Data sets will be analyzed using statistical computer packages; examples will be drawn from the biomedical and public health literature. Emphasis will be placed on methods and models most useful in clinical research.
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3.00 Credits
Prerequisite: PHCI or PHDA major. Corequisites: PHDA 681 or equivalent, or consent of instructor. Focuses on the multivariate statistical methods; topics include the multivariate normal distribution, inference for mean vectors; inference for covariance and correlation matrices, analysis of covariance structure, analysis of serial measurements, factor analysis, and discriminant analysis. Instruction will also be given in the proper use of software to carry out these analyses. Emphasis will be placed on methods and models most useful in clinical research.
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3.00 Credits
Prerequisite: PHCI or PHDA major or PHMPH major. Corequisites: PHDA 681 or equivalent, or consent of instructor. Focuses on statistical methods for analyzing survival data, including both parametric and nonparametric methods. Topics include life-table analysis, proportional hazard models, log-rank tests, parametric survival distributions, graphical methods, and goodness- of -fit tests. Emphasis will be placed on methods and models most useful in clinical research.
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3.00 Credits
Prerequisite: PHCI or PHDA major. Corequisites: PHDA 681 or equivalent, or consent of instructor. Focuses on statistical methods for analyzing categorical data; topics include inference for two-way contingency tables; models for binary response variables, including logistic and logit models; models for ordinal data; mutinominal response data; and analysis of repeated categorical response data. Emphasis will be placed on methods and models most useful in clinical research.
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3.00 Credits
Prerequisite: PHCI or PHDA major, or Math major in Graduate School; PHDA 660. Focus on the use of Bayesian probability and statistics in both scientific inference and formal decision analysis. The frequency and subjective interpretations of probability are explored, as well as probability and decision making.
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1.00 - 3.00 Credits
Prerequisite: Permission of instructor and director of the Statistical Consulting Center (StCC) or department chair.
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