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Course Criteria
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3.00 Credits
This introductory course will address basic and advanced statistical techniques used in clinical trials. Material presented will include the principles underlying the planning, management and implementation of clinical trials, the application of basic statistical methods used in the analysis of data from clinical trials, and the interpretation of results. 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
Advantages and disadvantages of prospective and retrospective study designs; design and analysis issues in both cohort and case-control studies, including proper selection of study subjects, data quality, sources and types of bias, controlling for confounding, maximizing participataion and minimizing loss to follow-up in prospective studies, power and sample size; statistical methods including categorical data analysis, logistic regression, Cox regression; use of statistical packages sucha as SAS and StatXact for analysis. Review and discussion of current representative studies. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate Semester Schedule Types: Lecture Graduate Studies College Biostatistics Department Course Attributes: Elective Course
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3.00 Credits
This course focuses on statistical methods for analyzing categorical data; topics include inference for a single proportion; inference for two-way contingency tables; models for categorical response variables, including logistic and loglinear models; analysis of matched-pairs data; power and sample size considerations. Emphasis will be placed on methods and models most useful in health-related research. 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
Introduction to modeling DNA and protein evolution and to reconstructing evolutionary relationships from DNA and protein sequences. Statistical models are applied to comparisons of DNA and protein sequences to make inferences about their common ancestry and past evolutionary events. 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 analysis of frequencies of single Mendelian genes within populations including Hardy-Weinberg equilibrium, non-random mating, admixture/subdivision, linkage equilibrium, selection/mutation, likelihood estimation, latent variables and the EM algorithm, pedigree analysis and genetic identify, linkage analysis. 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 types of epidemiological studies and covers modeling of various types of epidemics. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate Semester Schedule Types: Lecture Graduate Studies College Biostatistics Department Course Attributes: Elective Course
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3.00 Credits
This course covers systematic reviews of the literature for controlled clinical trials and observational studies. Statistical methods and computer software is reviewed and how to use systematic reviews in practice is detailed. Topics to be covered are introduction to systematic reviews and meta analysis, systematic reviews of controlled clinical trials, investigating variability between studies, systematic reviews of observational studies, statistical methods and computer software, using systematic reviews in practice, the Cochrane collaboration, and other evidence-based medicine topics. 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
Illustrates concepts, methods, and strategies used in epidemiology studies, beyond the priniciples discussed in Basic Epidemiology Courses. Topics include basic study designs, analysis of birth cohorts, measures of disease frequency and association, bias, confounding, effect modification and interaction, stratification and adjustment, quality control, and reporting of epidemiologic results. In the laboratory exercises, students work in small groups, further considering and discussing the topics and concepts covered in lectures. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate Semester Schedule Types: Lecture Graduate Studies College Biostatistics Department Course Attributes: Elective Course
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1.00 Credits
This course consists of clinical and translational research seminars by MCG faculty members and visiting researchers. Students will have an opportunity to talk to each speaker informally and to serve as hosts to visiting scientists. 1.000 Credit Hours 1.000 Lecture hours Levels: Graduate Semester Schedule Types: Seminar Small Group Graduate Studies College Biostatistics Department
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3.00 Credits
The student works closely with his/her faculty mentors and Advisory Committee on an in-depth study of a research question of intrest to both student and mentors.The course may be repeated as necessary until the student completes the research. Course Prerequisite: Permission of Clinincal and Translational Science Program 1.000 TO 12.000 Credit Hours Levels: Graduate Semester Schedule Types: Thesis Graduate Studies College Biostatistics Department
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