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Course Criteria
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1.00 - 6.00 Credits
1.000 TO 6.000 Credit Hours 2.000 TO 12.000 Lecture hours 2.000 TO 12.000 Lab hours 2.000 TO 12.000 Other hours Levels: Professional Semester Schedule Types: Supervised Lab/Clinic Dentistry College Dental Administration Department
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3.00 Credits
Prerequisite: College Algebra This course provides an introduction to research methodology and principles including basic methods of statistical analysis. Topics include descriptive and inferential statistics, basic probability, nonparametrics, statistical process control, epidemiology, and research designs. Students will create data summaries and perform statistical analyses using a statistical software package. 3.000 Credit Hours 3.000 Lecture hours 1.000 Lab hours Levels: Undergraduate Semester Schedule Types: Lecture/Supervised Lab/Clinic, Asynchronous Instruction Graduate Studies College Biostatistics Department
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3.00 Credits
This course serves as an introduction to epidemiology and biostatistics. The epidemiology portion of this course is intended to introduce students to epidemiology and its application to public health research and practice. It provides a conceptual foundation for further study of epidemiology; especially study design, quantitative concepts and methods, analysis, and interpretation. The biostatistics portion of this course offers an introduction to the basic statistical techniques used to analyze and interpret data in the biomedical, health sciences and related fields. Emphasis is on applications of these methods, with probability, discrete and continuous distribution, inferential statistics (estimation and hypothesis testing) for numeric and categorical data, non-parametric methods, analysis of variance, regression, and correlation topics covered. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate Semester Schedule Types: Lecture Graduate Studies College Biostatistics Department
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3.00 Credits
This course offers an introduction to the basic statistical techniques used to analyze and interpret data in the health sciences and related fields. Emphasis is on application of these methods, with the following topics covered: graphical methods, probability, discrete and continuous distribution, inferential statistics (estimation and hypothesis testing) for numeric and categorical data, non-parametric methods, analysis of variance, regression, correlation and critical reading of the research literature. 3.000 Credit Hours 3.000 Lecture hours 0.000 Lab hours 0.000 Other hours Levels: Graduate Semester, Post Professional Schedule Types: Lecture, Lecture/Supervised Lab/Clinic Graduate Studies College Biostatistics Department
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3.00 Credits
This course is the second course in a two-course sequence in Biostatistics that offers an introduction to some of the more advanced statistical techniques used to analyze and interpret data in the health sciences and related fields. Emphasis is on applications of these methods. Topics include factorial ANOVA, multiple linear regression and correlation, ANCOVA, logistic regression, longitudinal data analysis, survival analysis, clinical trials, experimental design, epidemiology, diagnostic tests, and critical reading of the research. 3.000 Credit Hours 3.000 Lecture hours 0.000 Lab hours 0.000 Other hours Levels: Graduate Semester Schedule Types: Lecture Graduate Studies College Biostatistics Department
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3.00 Credits
The primary objective of this course is to provide students with an understanding of basic concepts and methods of statistical inference in the biomedical health sciences. Upon completion of the course, students should be able to understand, interpret, and critique the results of application of statistical techniques as found in the health sciences literature. This course is comprised of eight WebCT modules with voice-overs and remote administration/testing capabilities. Prerequisites: College algebra or permission of the instructor. 1.000 Credit Hours 1.000 Lecture hours Levels: Graduate Semester, Post Professional Schedule Types: Lecture, Asynchronous Instruction Graduate Studies College Biostatistics Department
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3.00 Credits
This course offers an introduction to the basic statistical techniques used to analyze and interpret data in the biomedical, health sciences and related fields. Emphasis is on applications of these methods, with graphical methods, probability, discrete and continuous distributions, inferential statistics (estimation and hypothesis testing) for numeric and categorical data, non-parametric methods, analysis of variance, regression, and correlation. Students will learn to use the NCSS microcomputer statistical software package. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate Semester Schedule Types: Lecture Graduate Studies College Biostatistics Department
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3.00 Credits
This course offers an introduction to the basic statistical techniques used to analyze and interpret data in the health sciences and related fields. Emphasis is on applications of these methods, with graphical statistics (estimation and hypothesis testing for the one and two-sample case) for numeric categorical data, non-parametric methods, analysis of variance, regression, and correlation. Prerequisites: Calculus 3.000 Credit Hours 3.000 Lecture hours 0.000 Lab hours 0.000 Other hours Levels: Graduate Semester Schedule Types: Lecture Graduate Studies College Biostatistics Department
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3.00 Credits
This course serves as an introduction to epidemiology. Topics include basic concepts, types of studies, description and analysis of epidemiologic data, and epidemiology in disease control. 3.000 Credit Hours 3.000 Lecture hours 0.000 Lab hours 0.000 Other hours Levels: Graduate Semester Schedule Types: Lecture, Asynchronous Instruction Graduate Studies College Biostatistics Department
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3.00 Credits
This course covers the basic principles of experimental design. It covers the concepts of randomization, blocking, replication and interaction. Various designs are covered and their strengths and weaknesses are illuminated. These designs include factorials, complete and incomplete designs, Latin and Greco-Latin square designs, and split-plot designs. Confounding and fractional replication is also covered. 3.000 Credit Hours 3.000 Lecture hours 0.000 Lab hours 0.000 Other hours Levels: Graduate Semester Schedule Types: Lecture Graduate Studies College Biostatistics Department
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