Dr.P.H. in Biostatistics
The mission of the Doctor of Public Health (Dr.P.H.) degree – Biostatistics program concentration is to prepare individuals to function as applied biostatisticians in public health and biomedical related fields. Biostatistics is the development and application of statistical reasoning and methods in addressing, analyzing and solving problems in public health; health care; and biomedical, clinical and population-based research. Students completing a Dr.P.H. in Biostatistics degree within the JPHCOPH at Georgia Southern University will be able to serve the community, region, state, nation, or world through governmental, private, and academic sectors by utilizing his/her biostatistical skills gained in order to help solve public health and biomedical problems in rural and urban environments.
All Georgia Southern University Jiann-Ping Hsu College of Public Health students who select to study the Dr.P.H. – Biostatistics degree program will complete a minimum of 60 credits. Students pursuing this degree will take Public Health Sciences Core Courses (21 credits), Advanced Program Concentration Courses – Biostatistics (27 credits inclusive of elective), Doctoral Public Health Field Preceptorship (3 hours) and successfully defend a Dissertation (9 hours). Upon completion of the Dr.P.H. – Biostatistics students will be trained to provide leadership in Biostatistics in a variety of public health settings.
JPHCOPH Graduate Advisor
Shamia Garrett, M.P.H.
Coordinator, Office of Student Services
Phone: (912) 478-2674
By appointment only
Biostatistics Student Learning Outcomes
- Demonstrate their readiness to work with communities to address public health problems.
- Select and apply theoretically based interventions to address public health problems.
- Apply appropriate research methods to address community health problems, particularly among rural and underserved populations.
- Construct a public health and biomedical research question from ideas, conditions, and events that exist in a rural and urban community, region, state, and nation using critical thinking skills.
- Demonstrate required skills for translating public health practice objectives to the appropriate biostatistical framework for analysis and interpretation of results.
- Illustrate sufficient substantive knowledge of advanced biostatistical methods such as multiple regression, logistic regression, survival analysis, longitudinal data analysis, and Bayesian and adaptive methods to interact with biostatisticians and related public health researchers in a meaningful and productive fashion.
- Communicate biostatistical principles and concepts to lay and professional audiences through both oral and written communication.
At the completion of the Dr.P.H. degree program all Biostatistics students will be able to:
- Apply evidence-based practice, generation of practice-based evidence, and leadership positions that apply and synthesize translational and implementation science findings in governmental, non-profit, and private-sector settings as well as teaching, research, and service in academic roles at the undergraduate or graduate level.
- Demonstrate the ability to generate products that discover, apply, and synthesize evidence from a broad range of disciplines and health-related data sources, in order to advance programs, policies, or systems addressing population health. Learning products may be created in a range of formats.
- Demonstrate leadership in increasingly interdisciplinary, interprofessional, and crosssectoral roles and settings.
- Develop innovative, current, and proactive approaches to adapt to the ever-changing public health systems and health care landscape.
- Explain a core, interdisciplinary orientation toward evidence-based public health practice, leadership, policy analysis and development, evaluation methods, and translational and implementation research to generate practice-based evidence.
- Demonstrate an ability to work in a global context, recognizing the relationships among domestic and global issues.
- Design a public health and biomedical investigation in terms of the experimental design, data to be collected that reflect research objectives, number of subjects needed, and specification of appropriate methods for analysis.
- Analyze public health and biomedical data using appropriate statistical software such as SAS, R and S-plus.
- Interpret analytic methods used in the public health and biomedical journals, as well as critique published reports of public health and biomedical experiments as to the validity of the inferential conclusions.
- Develop new biostatistical methods and new ideas for applying existing biostatistical methods to applications in public health and the biomedical sciences.
- Develop written and oral reports to communicate effectively with research investigators the pivotal aspects of a study, including: design, study objectives, data analysis methodology, results and conclusions.
- Create a collaborative environment for working on written and oral reports.
|Public Health Core Courses (21 Credit Hours)||Credit Hours|
|PUBH 8132||Environmental and Occupational Health||3|
|PUBH 8133||Epidemiologic Methods||3|
|PUBH 8134||Health Economics, Policy and the Political Process||3|
|PUBH 8136||Theoretical Perspectives of the Social and Behavioral Sciences in Public Health||3|
|PUBH 9130||Sampling Methodology||3|
|PUBH 9132||Community-Based Research in Public Health||3|
|PUBH 9135||Public Health, Funding and Grantsmanship||3|
|Advanced Courses in Biostatistics (27 Credit Hours)|
|BIOS 9130||Biostatistical Consulting||3|
|BIOS 9131||Advanced Statistical Theory for Biostatistics I||3|
|BIOS 9132||Advanced Clinical Trials||3|
|BIOS 9133||Advanced Statistical Theory for Biostatistics II||3|
|BIOS 9134||Stochastic Process for Biological Systems||3|
|BIOS 9135||Advanced Survival Analysis||3|
|BIOS 9231||Bayesian Statistics I||3|
|BIOS 9333||Applied Longitudinal Data Analysis||3|
|Select one of the following guided electives:||3|
|BIOS 9136||General and Generalized Linear Models|
|BIOS 9432||Randomization and Bootstrap Methods in Health Data|
|BIOS 9433||Analysis with Missing and Mis-specified Data|
|Doctoral Public Health Field Preceptorship (3 Credit Hours)|
|PUBH 9790||Doctoral Preceptorship in Public Health||3|
|Note: 300 hours of field experience under the joint direction of a public health faculty member and a qualified specialist working in the area of concentration.|
|Dissertation (9 Credit Hours)|
|Total Credit Hours||60|
Last updated: 10/27/2016