Biostatistics

http://publichealth.hsc.wvu.edu/biostatistics/

Biostatistics

Biostatistics is the science of applying statistical theory and principles to research in public health, medicine, biology, pharmaceuticals, environmental science, and other related fields.

Degrees Offered:

  • Master of Public Health
  • Master of Science

Certificate

  • Applied Biostatistics

MPH in Biostatistics  

The MPH degree in Biostatistics is meant for individuals with a general interest in public health, who lack formal training in biostatistics and would like to gain skills needed to understand and apply standard statistical techniques. The purpose of the degree program is to:

  • Introduce key principles of probability and statistical inference,
  • Teach standard techniques of database management and analysis, and
  • Provide guidance regarding critical appraisal of research from a statistical perspective

The program builds on the existing Applied Biostatistics Certificate, allowing for added coursework for those individuals interested in obtaining a more intensive examination of common biostatistical techniques as well as a comprehensive training in the core disciplines of public health.

MS IN BIOSTATISTICS

The Master of Science (MS) Program in Biostatistics is meant for college graduates with interest and background in mathematics and statistics who wish to learn both the methodology and the application of biostatistics in the health sciences. The goals of this program are similar to the current MPH in Biostatistics Program in learning objectives; however, MS students will receive a more extensive methodological foundation as well as be expected to take additional statistical courses instead of the “core” public health courses required for any MPH.

A typical student who graduates with an MS in Biostatistics from WVU would be qualified to work as a biostatistician or research coordinator in research organizations such as a pharmaceutical company, contract research organization (CRO), a university, or a health department. MS graduates also will be prepared to pursue doctoral education in biostatistics or similar disciplines.

Biostatistics Certificate

The Applied Biostatistics Certificate is designed for those individuals who lack formal training in biostatistics and would like to gain skills needed to understand and apply standard statistical techniques.  It is an online program that is available to practitioners and/or students at WVU and elsewhere.

The primary objectives of the program are thus to:

  • Describe basic concepts of probability and statistical inference
  • Demonstrate standard techniques of database management and analysis
  • Compare and contrast study designs common to health research
  • Recognize the primary sources of bias observed in health research
  • Interpret appropriate inferences from data based on strengths and limitations of major epidemiologic study designs as well as the results of descriptive and inferential statistical analyses

Individuals who would be interested in such a Certificate include clinical and translational researchers at varying levels of their career (faculty, fellows, residents, basic scientists) as well as public health practitioners, in the state of West Virginia or beyond.  Interested individuals in the program should have a desire to be more self-sufficient with their research, specifically being able to know basic study design principles, analyze their data, and interpret their results.

The entire curriculum will be available both online and in-person (live), thus being accessible to individuals from a variety of backgrounds, locations, and experiences.  The program will take advantage of existing course technology where courses are taught in a synchronous fashion in which the instructor lectures in-class, and the lecture (along with associated PowerPoint slides or other files, such as SAS programs) is broadcast online.  While the lecture is available live during the lecture itself, the video or audio of the lecture is archived and available on the course for access at any time.  All course notes, homeworks, programs, etc. are available online, and the instructor is available in a number of formats (online chat, email, phone) to accommodate distance-learning students.

Applied Biostatistics Certificate Program students will typically take one class per semester.  Completion of the program will typically take two years. Certificate Program students will pay tuition at the standard School of Public Health per-credit rate.  Please visit the School of Public Health financial information link for more information on current rates.   
 

MPH in Biostatistics

Admissions Guidelines

  • A baccalaureate degree from an accredited college or university with a preferred overall GPA of 3.0. 
  • Basic competencies in mathematics.
  • GRE scores of 150 (verbal), 150 (quantitative), 3.5 (analytical writing), or a terminal degree.
  • TOEFL scores (minimum 550 paper-based) (minimum 213 computer-based).

To Apply for the MPH in Biostatistics

If you are ready to apply to West Virginia University School of Public Health, the admissions team is here to assist you. Our School of Public Health is CEPH accredited, and we participate in SOPHAS (Schools of Public Health Application Service). We are also one of the schools participating in SOPHAS (Schools of Public Health Application Service). Our MPH Admissions process is a two-step process.  All MPH applications must be submitted through the national SOPHAS service and applicants must also submit a WVU Graduate application.

In addition to the general application, applicants must submit to SOPHAS a statement of purpose and objectives, official GRE test scores, three letters of reference, a current resume/curriculum vitae, and all university transcripts. SOPHAS requires original transcripts from ALL U.S. institutions attended! (Even Study Abroad) 

There is a $120 SOPHAS application fee. Applicants must indicate their first choice of MPH major, and may also indicate a second choice. A maximum of two choices is allowed.

  • E-submit your application as soon as the applicant entered information is complete. Do NOT wait for SOPHAS to receive transcripts, recommendations or test scores
  • Plan Ahead! Allow up to 4 weeks for SOPHAS to verify grades, process and mail your application to your designated institutions after your documents have been received.
  • SOPHAS grants fee waivers based upon financial need for Peace Corps Volunteers, McNair Scholars, Gates Millennium Scholars Program, AmeriCorps, U.S. and International applicants

Applications that are complete will then be reviewed by the department. Students will receive a communication from the WVU School of Public Health regarding their recommendation for acceptance and instructions to complete the WVU Graduate application and pay the $60.00 WVU application fee.

Important: When sending GRE scores for consideration for admission at WVU use the GRE WVU School of Public Health College code: 0157. This is the code that MUST be used, otherwise your GRE score will not be reported to SOPHAS and your application will be incomplete and therefore will not be reviewed for an admissions decision. [There are different codes for other programs at West Virginia University.]

All other degrees and certificate programs will use the WVU application system.

 

MS in Biostatistics

ADMISSIONS GUIDELINES

  • Baccalaureate degree from an accredited college or university (preferred GPA: 3.0 overall; 3.4 for quantitative courses)
  • Course experience including:
    • Multivariable calculus (equivalent to WVU MATH 251)
    • Matrix or elementary linear algebra (equivalent to WVU MATH 343)
    • Knowledge of a programming language
  • GRE scores : 155 quantitative, 150 verbal, and 3.5 for analytical writing
  • A completed MS application, including a Statement of Purpose
  • Three letters of recommendation

 TO APPLY FOR THE MS IN BIOSTATISTICS

Complete the WVU graduate application and submit with the processing fee ($60.00): http://graduateadmissions.wvu.edu/.

Applicants must submit a statement of purpose, official GRE test scores, three letters of reference, a current resume/curriculum vitae, and all university transcripts. The deadline for applications to be considered for the fall (no spring/summer admissions are permitted) is July 1 (priority deadline: April 1).

Applications that are complete will be sent to the department for review. Students will receive an e-mail through from the WVU School of Public Health regarding their recommendation for acceptance.

Applied Biostatistics Certificate

Admissions Guidelines  

  • Baccalaureate degree from an accredited college or university with a preferred overall GPA of 3.0 (official transcripts required)
  • GRE scores or a terminal degree (MD, Ph.D., etc.)
  • Essay describing previous education and experience and career objectives
  • Resume or curriculum vitae
  • At least two letters of recommendation
  • Computer skills are a program requirement. It is the responsibility of the students to become skilled in computer applications and to participate in the Health Sciences Center Mandatory Laptop Program.  
  • The admissions process will include a 15-20 minute phone interview between the Biostatistics Certificate Admissions Committee and the applicant. 

Students currently enrolled at WVU should fill out the admissions form for current students to apply for the Applied Biostatistics Certificate. Please contact Dr. Christa Lilly with questions or the completed form.

Students interested in applying for the Applied Biostatistics Certificate must:

WVU HSC Admissions
1 Medical Center Drive
1170 HSC North
Morgantown, WV 26506

  • International students must submit to:

Office of Graduate Admissions and Recruitment
PO Box 6510
Morgantown, WV 26506-6510

Master of Public Health

Biostatistics Major Competencies

  • Manage data structures efficiently using standard statistical software.
  • Evaluate basic multivariable statistical techniques commonly used in clinical and public health settings.
  • Explain the motivations, underlying theory, and assumptions of advanced methodological tools for biostatisticians.
  • Conduct and evaluate systematic reviews with meta-analysis.
  • Develop written presentations based on statistical analyses for both substantive investigators and members of the community.
  • Develop oral presentations based on statistical analyses for both substantive investigators and members of the community.

Major Requirements

MPH Core Courses
BIOS 601Applied Biostatistics 13
BIOS 602Applied Biostatistics Lab1
EPID 601Public Health Epidemiology3
HPML 601Foundations of Health Policy3
SBHS 601Social and Behavioral Theory3
OEHS 601Environmental Health3
PUBH 696Graduate Seminar1
Required Major Courses
BIOS 603Applied Biostatistics 23
BIOS 604Applied Biostatistics 33
BIOS 611Data Management and Reporting3
BIOS 623Biostatistical Consulting1
BIOS 663Introduction to Meta-Analysis3
Practice based/Culminating Experiences
PUBH 622MPH Practice-Based Experience3
BIOS 629Application of Biostatistics to Public Health Data3
Electives *
BIOS 662Statistics in Clinical Trials3
HPML 622Analytic Methods for Health Policy, Management and Leadership3
or other approved courses
Total Hours42
*

The student's advisor can also approve elective courses from other programs if these courses contribute to the student's program of study.

Suggested Plan Of Study

First Year
FallHoursSpringHours
BIOS 6013OEHS 6013
BIOS 6021SBHS 6013
BIOS 6113HPML 6013
EPID 6013BIOS 6033
PUBH 6961 
 11 12
Second Year
FallHoursSpringHours
BIOS 6043BIOS 6293
BIOS 6231BIOS 6633
BIOS 6623HPML 6223
PUBH 6223 
 10 9
Total credit hours: 42

Note: The suggested schedule may be altered to allow for additional coursework in biostatistics. 

 

The MPH degree will be awarded based on successful completion of all academic requirements and demonstrated achievement of competencies. The department chair using a faculty panel will review competency performance evidence and based on the evidence reviewed, determine if the student has achieved the expected competencies. If a determination is made that competencies have not been achieved, the department chair will inform the student what must be accomplished to demonstrate achievement and therefore be recommended for awarding of the MPH degree. This may include taking additional courses.

Master of Science in Biostatistics

MS-Biostatistics students will gain the following general competencies that will be assessed continuously through the assessment processes already in place in the School of Public Health (SPH):

  1. Assess foundational concepts of probability and statistical inference.
  2. Analyze clinical and public health data using descriptive biostatistical methods.
  3. Distinguish appropriate basic inferential statistical analyses and summarize their results.
  4. Manage standard statistical software to efficiently manage data structures.
  5. Summarize central concepts of statistical theory and inference.
  6. Develop appropriate plans to analyze standard continuous data in order to make valid inferences.
  7. Develop appropriate plans to analyze standard categorical data in order to make valid inferences.
  8. Communicate effectively, in writing and verbally, with substantive investigators and members of the community when assisting in the design of research studies as well as the results of statistical analyses.
  9. Weigh a public health problem in terms of magnitude, person, time, and place.
  10. Explain each of the five core disciplines in public health and illustrate the ways each of the core disciplines have contributed to the historical evolution of public health

Major Requirements

MS Requried Courses
BIOS 610Intermediate Biostatistics4
BIOS 611Data Management and Reporting3
BIOS 612Public Health Statistical Inference 13
BIOS 620Applied Linear Models HS3
BIOS 621Categorical Data Analysis HS3
BIOS 623Biostatistical Consulting1
BIOS 624Consulting Experience2
EPID 601Public Health Epidemiology3
PUBH 659Public Health Foundations3
Electives 9
9 Hours of Approved Courses
Choice of Thesis or Non-Thesis Option6
Thesis Option
Research
Non-Thesis Option
Biostatistics Practicum
Application of Biostatistics to Public Health Data
Total Hours40

Suggested Plan Of Study(Thesis option)

First Year
FallHoursSpringHours
BIOS 6104BIOS 6203
BIOS 6113BIOS 6213
BIOS 6123BIOS 6231
 Elective3
 10 10
Second Year
FallHoursSpringHours
BIOS 6242PUBH 6593
EPID 6013BIOS 6973
Elective3Electives3
BIOS 6973 
 11 9
Total credit hours: 40

The MS degree will be awarded based on successful completion of all academic requirements.

Doctor of Philosophy

Biostatistics Major Competencies

  • Assimilate the foundations of public health, including the physical, biological, and social behavioral/factors which affect the health of the community.
  • Synthesize and illustrate principles of study design, estimation, statistical inference, and standard data analysis methods to students and researchers across various health disciplines
  • Integrate the foundations of statistical theory and inference for estimation and testing of hypotheses in public health
  • Discern gaps in current statistical methods that limit further public health research and propose solutions based on rigorous theoretical justification
  • Synthesize new developments in the biostatistical literature to address relevant and challenging public health questions
  • Evaluate research reports and proposals for research funding on the basis of their scientific integrity, validity, and the strength of the quantitative analysis
  • Prepare reports of quantitative analyses for journal publication, presentations at scientific meetings, and grant application.

Major Requirements

Common Core Courses for the SPH Doctoral Program
EPID 710Advanced Principles of Epidemiology3
EPID 711Methodological Issues in Design & Analysis of Cohort Studies3
PUBH courseFoundations of Public Health3
Research60
Research
C&I 789Teaching in Higher Education3
PUBH 790Teaching Practicum3
BMS 700Scientific Integrity1
BMS 720Scientific Writing2
BIOS Required Courses
BIOS 623Biostatistical Consulting *1
BIOS 624Consulting Experience2
BIOS 700Foundations of Modern Statistical Inference3
BIOS 701Modern Statistical Inference3
Select one of the following:4
Theory and Application of Linear Models
Linear Models
and Advanced Application of Linear Models
BIOS 721Advanced Categorical Data Analysis for Health Sciences4
BIOS 740Advanced Longitudinal Data Analysis3
BIOS 788Biostatistical Grant Writing2
BIOS 796Graduate Seminar1
BIOS 796Graduate Seminar1
Electives Courses 15
Analysis of Time-to-Event Data
Bayesian Biostatistics
Advanced Structural Equation Models
Survival Analysis
Data Mining
Theoretical Statistics 1 **
Theoretical Statistics 2 **
Stochastic Processes
Statistical Methods-Bioinformatics
Total Hours117
*

Students with MS in Statistics or Biostatistics may be exempt from these courses

**

Strongly recommended for students interested in an academic career. 

Suggested Plan of Study

First Year
FallHoursSpringHoursSummerHours
BIOS 7003BIOS 7013C&I 7893
EPID 7103BIOS 7214BMS 7202
STAT 6453BIOS 6231BIOS 7971
BIOS 7451BIOS 7882 
BMS 7001  
 11 10 6
Second Year
FallHoursSpringHoursSummerHours
STAT 7653BIOS 6242BIOS 7976
STAT 7613EPID 7113 
BIOS 7403PUBH course - Foundations of Public Health3 
BIOS 7653BIOS 7971 
BIOS 7971PUBH 7903 
 13 12 6
Third Year
FallHoursSpringHoursSummerHours
BIOS 79710BIOS 6623BIOS 7976
BIOS 7961BIOS 7961 
STAT 5473BIOS 79710 
 14 14 6
Fourth Year
FallHoursSpringHoursSummerHours
BIOS 7979BIOS 79710BIOS 7976
 9 10 6
Total credit hours: 117

Certificate Code - CG32

The Applied Biostatistics Certificate is designed for those individuals who lack formal training in biostatistics and would like to gain skills needed to understand and apply standard statistical techniques.  It is an in-person and/or online program that is available to practitioners and/or students at WVU and elsewhere.

The primary objectives of the program are to:

  • Describe basic concepts of probability and statistical inference
  • Demonstrate standard techniques of database management and analysis
  • Compare and contrast study designs common to health research
  • Recognize the primary sources of bias observed in health research
  • Interpret appropriate inferences from data based on strengths and limitations of major epidemiologic study designs as well as the results of descriptive and inferential statistical analyses

Individuals who would be interested in such a Certificate include clinical and translational researchers at varying levels of their career (faculty, fellows, residents, basic scientists) as well as public health practitioners, in the state of West Virginia or beyond.  Interested individuals in the program should have a desire to be more self-sufficient with their research, specifically being able to know basic study design principles, analyze their data, and interpret their results.

The entire curriculum will be available both online and in-person (live), thus being accessible to individuals from a variety of backgrounds, locations, and experiences.  The program will take advantage of existing course technology where courses are taught in a synchronous fashion in which the instructor lectures in-class, and the lecture (along with associated PowerPoint slides or other files, such as SAS programs) is broadcast online.  While the lecture is available live during the lecture itself, the video or audio of the lecture is archived and available on the course for access at any time.  All course notes, homework, programs, etc. are available online, and the instructor is available in a number of formats (online chat, email, phone) to accommodate distance-learning students.

Applied Biostatistics Certificate Program students will typically take one class per semester.  Completion of the program will typically take two years.  

BIOS 601Applied Biostatistics 13
BIOS 602Applied Biostatistics Lab1
BIOS 603Applied Biostatistics 23
BIOS 604Applied Biostatistics 33
BIOS 605Applied Biostatistics Capstone2
EPID 601Public Health Epidemiology3
Total Hours15

Major Learning Goals

Biostatistics

MPH Biostatistics Major Competencies:

  • Manage data structures efficiently using standard statistical software.
  • Evaluate basic multivariable statistical techniques commonly used in clinical and public health settings.
  • Explain the motivations, underlying theory, and assumptions of advanced methodological tools for biostatisticians.
  • Conduct and evaluate systematic reviews with meta-analysis.
  • Develop written presentations based on statistical analyses for both substantive investigators and members of the community.
  • Develop oral presentations based on statistical analyses for both substantive investigators and members of the community.

MS in Biostatistics Major Competencies:

  • Assess foundational concepts of probability and statistical inference.
  • Analyze clinical and public health data using descriptive biostatistical methods.
  • Distinguish appropriate basic inferential statistical analyses and summarize their results.
  • Manage standard statistical software to efficiently manage data structures.
  • Summarize central concepts of statistical theory and inference.
  • Develop appropriate plans to analyze standard continuous data in order to make valid inferences.
  • Develop appropriate plans to analyze standard categorical data in order to make valid inferences.
  • Communicate effectively, in writing and verbally, with substantive investigators and members of the community when assisting in the design of research studies as well as the results of statistical analyses.
  • Weigh a public health problem in terms of magnitude, person, time, and place.
  • Explain each of the five core disciplines in public health and illustrate the ways each of the core disciplines have contributed to the historical evolution of public health

Courses

BIOS 601. Applied Biostatistics 1. 3 Hours.

CoReq: BIOS 602. Introduces parametric and nonparametric statistical methodology, including descriptive measures, elementary probability, estimation, hypothesis testing, confidence intervals, common nonparametric methods, and base contingency table analysis. Empirically demonstrates underlying theory.

BIOS 602. Applied Biostatistics Lab. 1 Hour.

PR or CONC: BIOS 601. This course, taken concurrently with BIOS 601, introduces students to the use of statistical software (SAS, R) to perform basic analyses.

BIOS 603. Applied Biostatistics 2. 3 Hours.

PR: BIOS 601 and BIOS 602. Addresses estimation and hypothesis testing within the context of the generalized linear model. Examines multiple linear regression, logistic regression, survival analysis, and select advanced techniques. Emphasis on applied data analysis of health care studies.

BIOS 604. Applied Biostatistics 3. 3 Hours.

PR: BIOS 602 and BIOS 603. Focus on advanced methodological tools important in public health contexts. Topics include structural equation models and hierarchical linear models (mixed models, random-effect models), categorical methods, survival analysis and clinical trials.

BIOS 605. Applied Biostatistics Capstone. 2 Hours.

PR: BIOS 601 and BIOS 602 and BIOS 603 and BIOS 604 and consent. Students will work on a dedicated data analysis stemming from their own research or the work of others, culminating in a final research paper.

BIOS 610. Intermediate Biostatistics. 4 Hours.

Designed for students advanced mathematical background, focus is on mathematically sophisticated principles and methods of hypothesis testing, associations, one- and two-sample parametric and non-parametric tests. Includes real data set analyses on public health datasets.

BIOS 611. Data Management and Reporting. 3 Hours.

Introduction to statistical software for data management and analysis. Focus is on SAS and R for data management and analysis.

BIOS 612. Public Health Statistical Inference 1. 3 Hours.

Fundamental applications used in the field of public health including, probability, discrete and continuous distributions, functions, of random variables, descriptive statistics, fundamentals of statistical inference, including estimation and hypothesis testing.

BIOS 620. Applied Linear Models HS. 3 Hours.

PR: BIOS 610 or BIOS 612. This course will teach the theory and practice of regression analysis. This includes but not limited to estimation, testing, confidence procedures, the geometry of least squares, regression diagnostics and plots, modeling, model selection, polynomial regression, and collinearity.

BIOS 621. Categorical Data Analysis HS. 3 Hours.

PR: BIOS 610 and BIOS 611. Introduction to the analysis of categorized data with a Health Sciences-Epidemiologic focus: rates, ratios, and proportions; relative risk and odds ratio; Mantel-Haenszel methods; logistic regression, Poisson regression, and other models for categorical data.

BIOS 622. Analysis of Time-to-Event Data. 3 Hours.

PR: BIOS 610 and BIOS 611. Introduction to modern methods for the analysis of time-to-event data (eg. survival, cessation, and recidivism). Theory and application are emphasized; covering survival functions, hazard rates, inference, regression, model construction, stratification, time-dependent covariates, and clinical trials.

BIOS 623. Biostatistical Consulting. 1 Hour.

PR: BIOS 610 or BIOS 601. Focuses on the responsibilities of the biostatician as a consultant. Discussion topics include consulting models, interpersonal communication, ethics, common client types, time management, and other issues.

BIOS 624. Consulting Experience. 2 Hours.

PR: BIOS 623. Students will gain practical experience in the Biostatistics Consulting Group, under the guidance of the faculty director of the group, to assist with general consulting for the HSC.

BIOS 628. Biostatistics Practicum. 3 Hours.

PR: Consent. Students will work in a collaborative setting for a minimum of 180 hours, applying sophisticated biostatistical principles and skills learned in classes to address research questions that arise in that setting.

BIOS 629. Application of Biostatistics to Public Health Data. 3 Hours.

PR: PUBH 622 and BIOS 628. Students will develop research question(s) pertaining to an available public health related data set, determine the public health relevance of that question, plan analyses and implement that plan, and determine public health impact of analysis results. Students will gain practical experience integrating biostatistics concepts within a public health issue.

BIOS 660. Applied Bioinformatics 1. 3 Hours.

PR: BIOS 610 and BIOS 611. Foundational methodological tools for analyzing molecular and population genetics are discussed in detail including methods for modeling genetic inheritance, linkage analysis, genetic association studies, family designs, SNPs analysis, gene interactions, and genome wide association studies.

BIOS 661. Applied Bioinformatics 2. 3 Hours.

PR: BIOS 612 and BIOS 660. The course will cover the fundamental methods that have been successfully applied in bioinformatics, such as supervised learning, unsupervised learning and multiple testing. Students will learn relevant programming languages and software.

BIOS 662. Statistics in Clinical Trials. 3 Hours.

PR: BIOS 610 and BIOS 611. Introduces concepts relevant to the design and analysis of clinical trials. Topics covered include protocol development, quality control, ethical considerations, adherence, randomization, power analysis, and interim analysis.

BIOS 663. Introduction to Meta-Analysis. 3 Hours.

An introduction to the quantitative analysis (meta- analysis) of data from systematic reviews, including (1) effect size and precision, (2) fixed versus random- effects models, (3) heterogeneity, (4) complex data structures, and (5) bias.

BIOS 691A-Z. Advanced Topics. 1-6 Hours.

PR: Consent. Investigation in advanced topics that are not covered in regularly scheduled courses.

BIOS 693A-Z. Special Topics. 1-6 Hours.

A study of contemporary topics selected from recent developments in the field.

BIOS 695. Independent Study. 1-6 Hours.

Faculty-supervised study of topics not available through regular course offerings.

BIOS 696. Graduate Seminar. 1 Hour.

PR: Consent. Each graduate student will present at least one seminar to the assembled faculty and graduate student body of his or her program.

BIOS 697. Research. 1-15 Hours.

PR: Consent. Research ACtivities leading to thesis, problem report, research paper or equivalent scholarly project, or dissertation. (Grading will be S/U.).

BIOS 698. Thesis. 1-6 Hours.

PR: Consent. This is an optional course for programs that believe that this level of control and supervision is needed during the writing of student's reports, theses, or dissertations.

BIOS 700. Foundations of Modern Statistical Inference. 3 Hours.

PR: Consent. The foundations and application of advanced statistical theory used in the field of biostatistics will be presented, including likelihood theory with related estimation, asymptotic and inferential theory, and theoretical and computational procedures for missing data.

BIOS 701. Modern Statistical Inference. 3 Hours.

PR: BIOS 700 or Consent. Advanced statistical theory for biostatistics will be presented, including estimation theory, semi-parametric theory, asymptotic and inferential theory, and algorithmically based estimators and inference.

BIOS 720. Theory and Application of Linear Models. 4 Hours.

PR: BIOS 700 or Consent. This is a theoretical course in linear models for continuous responses and their applications. Topics include matrix theory, the multivariate normal distribution, multivariate quadratic forms, estimability, reparameterization, linear restrictions, estimation theory, weighted least squares, multivariate tests of linear hypotheses, multiple comparisons, confidence regions, and missing data.

BIOS 721. Advanced Categorical Data Analysis for Health Sciences. 4 Hours.

PR: BIOS 700 or consent. This course offers an advanced examination of statistical theory and application of methods for models with categorical response data; concepts include likelihood theory and application, general linear models theory and application, estimating equations and contingency table methods.

BIOS 740. Advanced Longitudinal Data Analysis. 3 Hours.

PR: BIOS 720 or consent. This course gives an advanced understanding and approach to the analysis of longitudinal data; concepts includ linear mixed effects models, generalized linear models for correlated data (including generalized estimating equations), computational issues and methods for fitting models, and dropout or other missing data. Knowledge of an appropriate software package and basic matrix algebra is assumed.

BIOS 745. Advanced Application of Linear Models. 1 Hour.

PR or CONC: STAT 645 or Consent. This course offers an understanding of advanced linear models as utilized in practice. Application of linear models across a range of research areas will be emphasized, covering computational techniques, practical issues that arise in utilizing linear models, and interpretation of results.

BIOS 764. Bayesian Biostatistics. 3 Hours.

PR: BIOS 700 or consent. This course examines fundamental aspects of the Bayesian paradigm and will focus on Bayesian inferential methods with emphasis on biostatistics applications. Topics covered include: principles of Bayesian statistics; single-parameter and multi-parameter models; Bayesian linear and generalized linear models; Monte Carlo approaches to model fitting; Prior elicitation, with illustrations of a variety of computational methods.

BIOS 765. Advanced Structural Equation Models. 3 Hours.

PR: (BIOS 610 and BIOS 611) or Consent. This course will focus on advanced structural equation modeling techniques important in public health contexts. Topics include basic psychometrics, path analysis and advanced structural equation modeling techniques, using relevant software packages.

BIOS 788. Biostatistical Grant Writing. 2 Hours.

This course gives an advanced conceptual and applied understanding of writing external grants in Biostatistics. Topics include writing grants as a principal investigator and assisting others in grant-writing as a co-investigator, with a focus on NIH grants.

BIOS 790. Teaching Practicum. 1-3 Hours.

PR: Consent. Supervised practice in college teaching of BIOS. Note: This course is intended to insure that graduate assistants are adequately prepared and supervised when they are given college teaching responsibility. It also provides a mechanism for students not on assistantships to gain teaching experience.

BIOS 796. Graduate Seminar. 1 Hour.

PR: Consent. Each graduate student will present at least one seminar to the assembled faculty and graduate student body of his or her program.

BIOS 797. Research. 1-15 Hours.

PR: Consent. Research activities leading to thesis, problem report, research paper or equivalent scholarly project, or a dissertation. (Grading will be S/U.).

BIOS 798. Thesis or Dissertation. 1-6 Hours.

PR: Consent. This is an optional course for programs that believe that this level of control and supervision is needed during the writing of students' reports, theses, or dissertations.


Faculty

Chair

  • Snehalata Huzurbazar - Ph.D.
    (Colorado State University)

Professor

  • George A. Kelley - DA (Middle Tennessee State University)

Assistant Professors

  • Christa L. Lilly - Ph.D. (Vanderbilt University)
  • Michael D. Regier - Ph.D. (University of British Columbia)
  • Sijin Wen - Ph.D. (The University of Texas Health Sciences Center at Houston)

Research Instructor

  • Kristi Kelley - M.Ed. (University of North Carolina at Charlotte)

Adjunct assistant professor

  • Dustin M. Long - Ph.D. (University of North Carolina)