Courses

The course descriptions below are correct to the best of our knowledge as of April 2016. Instructors reserve the right to update and/or otherwise alter course descriptions as necessary after publication. The listing of a course description here does not guarantee a course’s being offered in a particular semester. The Course Rotation Guide lists the expected semester a course will be taught. Please refer to the published schedule of classes for confirmation a class is actually being taught and for specific course meeting dates and times. In addition to the courses listed in the Bulletin and courses approved after April 1, SPH degree candidates may register for a directed (independent) study with a full-time SPH faculty member. For more information, speak with your faculty advisor or a staff member in the SPH Registrar’s office.

Essentials of Biostatistics

SPH BS 700 (2 credits)

"This intensive three-week summer course will provide a comprehensive introduction to the use of biostatistics in the field of public health. Students will learn to compute and interpret descriptive and inferential statistics. Topics will include descriptive statistics and graphical displays of data, probability, confidence intervals, hypothesis testing for means and proportions, linear and logistic regression and survival analysis. "

2017FALLSPHBS700 A1, Aug 14th to Aug 18th 2017
Days Start End Type Bldg Room
MTWR 9:00 am 4:50 pm INS 211
F 9:00 am 12:50 pm INS 211

Introduction to Biostatistics

SPH BS 704 (3 credits)

This course meets the biostatistics core course requirement for all degrees and concentrations at SPH. The course replaces BS701 and BS703. Topics include the collection, classification, and presentation of descriptive data; the rationale of estimation and hypothesis testing; analysis of variance; analysis of contingency tables; correlation and regression analaysis; multiple regression, logistic regression, and the statistical control of confounding; sample size and power considerations; survival analysis. Special attention is directed to the ability to recognize and interpret statistical procedures in articles from the current literature. This course gives students the skills to perform, present, and interpret basic statistical analyses using the R statistical package.

2017FALLSPHBS704 A1, Sep 11th to Dec 18th 2017
Days Start End Type Bldg Room
M 6:00 pm 8:30 pm INS 110
2018SPRGSPHBS704 A1, Jan 23rd to May 8th 2018
Days Start End Type Bldg Room
T 6:00 pm 8:50 pm EVN

Practical Skills for Biostatistics Collaboration

SPH BS 715 (1 credits)

This course will focus on skills required for effective research collaboration with investigators from various disciplines. Emphasis will be on the development of skills to communicate effectively with biostatistician and non‐biostatisticians collaborators, to write data collection and statistical analysisplans for grants, and/or publications, and to organize results in appropriate visual displays or tables. Other issues, including techniques to work efficiently in multi‐disciplinary research teams (e.g.,constructing timelines and deliverables) will also be discussed.

2018SPRGSPHBS715 A1, Jan 19th to May 2nd 2018
Days Start End Type Bldg Room
TBD TBD

Design and Conduct of Clinical Trials

SPH BS 722 (4 credits)

This course covers the development, conduct, and interpretation of clinical trials. It is suitable for concentrators in any department. Topics include principles and practical features such as choice of experimental design, choice of controls, sample size determination, methods of randomization, adverse event monitoring, research ethics, informed consent, data management, and statistical analysis issues. Students write a clinical trial protocol during the semester.

2017FALLSPHBS722 A1, Sep 5th to Dec 19th 2017
Days Start End Type Bldg Room
T 2:00 pm 4:50 pm CTC 462
2018SPRGSPHBS722 A1, Jan 18th to May 3rd 2018
Days Start End Type Bldg Room
R 10:00 am 12:50 pm CTC

Introduction to Statistical Computing

SPH BS 723 (4 credits)

This course introduces students to statistical computing with focus on the SAS package. Emphasis is on manipulating data sets and basic statistical procedures such as t-tests, chi-square tests, correlation and regression. Conditions underlying the appropriate use of these statistical procedures are reviewed. Upon completion of this course, the student will be able to use SAS to: read raw data files and SAS data sets, subset data, create SAS variables, recode data values, analyze data and summarize the results using the statistical methods enumerated above. This course includes hands-on exercises and projects designed to facilitate understanding of all the topics covered in the course. Students use equipment and software available through the Boston University Medical Center. This course is a prerequisite for BS805, BS820, BS821, BS851, BS852, BS853 and BS858.

2017FALLSPHBS723 A1, Sep 11th to Dec 18th 2017
Days Start End Type Bldg Room
M 10:00 am 12:50 pm HOU R107
2017FALLSPHBS723 B1, Sep 5th to Dec 19th 2017
Days Start End Type Bldg Room
T 6:00 pm 8:50 pm HOU R107
2017FALLSPHBS723 C1, Sep 7th to Dec 14th 2017
Days Start End Type Bldg Room
R 2:00 pm 4:50 pm HOU R107
2018SPRGSPHBS723 A1, Jan 22nd to May 7th 2018
Days Start End Type Bldg Room
M 6:00 pm 8:50 pm
2018SPRGSPHBS723 B1, Jan 23rd to May 8th 2018
Days Start End Type Bldg Room
T 2:00 pm 4:50 pm
2018SPRGSPHBS723 C1, Jan 23rd to May 8th 2018
Days Start End Type Bldg Room
T 6:00 pm 8:50 pm
2018SPRGSPHBS723 D1, Jan 24th to May 9th 2018
Days Start End Type Bldg Room
W 10:00 am 12:50 pm
2018SPRGSPHBS723 E1, Jan 18th to May 3rd 2018
Days Start End Type Bldg Room
R 6:00 pm 8:50 pm
2018SPRGSPHBS723 F1, Jan 18th to Apr 26th 2018
Days Start End Type Bldg Room
R 2:00 pm 4:50 pm

Public Health Surveillance,a Methods Based Approach

SPH BS 728 (2 credits)

Thacker wrote, "Surveillance is the cornerstone of public health practice." This course will provide an introduction to surveillance and explore its connections to biostatistics and public health practice. Topics will include complex survey design, weighted sampling, capture-recapture methods, time series analyses and basic spatial analyses. Students will learn about available surveillance data, how to analyze these data, and how to write about their findings. Additionally students will propose a new surveillance system or modification of an existing system. This class carries Epidemiology concentration credit.

2017FALLSPHBS728 A1, Oct 31st to Dec 19th 2017
Days Start End Type Bldg Room
T 10:00 am 12:50 pm CTC 460

Introduction to R: software for statistical computing

SPH BS 730 (4 credits)

Students will learn how to conduct statistical analysis using the public domain and free statistical software, R. Many public, private, and international organizations use R to conduct analysis, thus experience with R is a great skill to add to one's credentials. R offers flexibility, ranging from ease of writing code for simple tasks (e.g. using R as a calculator) to implementing complex analyses using cutting-edge statistical methods and models. Additionally, the R language provides a rich environment for working with data, especially for statistical modeling, graphics, and data visualization. This course will emphasize data manipulation and basic statistical analysis including exploratory data analysis, classical statistical tests, categorical data analysis, and regression. Students will be able to identify appropriate statistical methods for the data or problems and conduct their own analysis using the R environment. This hands-on and project-based course will enable students to develop skills to solve statistical problems using R. R can be used as an alternative or in addition to SAS (BS723). R is compatible with Apple OS, Windows, and Unix environments.

2017FALLSPHBS730 A1, Sep 5th to Dec 12th 2017
Days Start End Type Bldg Room
T 10:00 am 12:50 pm INS 1105
2018SPRGSPHBS730 A1, Jan 22nd to May 7th 2018
Days Start End Type Bldg Room
M 10:00 am 12:50 pm

Design and Conduct of Public Health Research

SPH BS 740 (4 credits)

This course provides practical experience with the theory and process of public health research. Topics include an overview of study design, principles of sampling and randomization, human subject issues and informed consent, the role of the IRB, qualitative research design and practice, and data management. This is a required course for the Design and Conduct of Public Health Research Certificate.

2018SPRGSPHBS740 A1, Jan 22nd to May 7th 2018
Days Start End Type Bldg Room
M 6:00 pm 8:50 pm INS

Essentials of Quantitative Data Management

SPH BS 750 (2 credits)

Any data analysis is only is good as the data on which it is based. This course will focus on the importance of high quality data and the skills required for effective data management, including collection, cleaning, auditing, and merging. Students will have hands-on experience with data sets. Examples of what can go wrong and how research can be complicated by or produce erroneous results due to poor quality data will be provided.

2018SPRGSPHBS750 A1, Jan 24th to Mar 14th 2018
Days Start End Type Bldg Room
W 2:00 pm 4:50 pm

Applications of Statistical Methods in Clinical Research

SPH BS 775 (4 credits)

This course provides a non-technical (no computer programming) overview of concepts in statistical methods used for clinical research and their applications. Each week, students read a methodologic article and a clinical research article. The first portion of the class is a didactic presentation; the second portion is a discussion of the clinical research article, incorporating the concepts discussed in the didactic presentation. Students explore statistical test selection, alternative tests or approaches. Students examine interpretations of scientific articles in the lay press.

2018SPRGSPHBS775 A1, Jan 19th to May 2nd 2018
Days Start End Type Bldg Room
TBD TBD

Accelerated Statistical Training

SPH BS 800 (2 credits)

This course is designed for the newly developed MS in Applied Biostatistics program and will cover concepts of descriptive statistics and exploratory data analysis, measures of association in epidemiological studies, probability, statistical inference and computing in R and SAS. It is intended to equip students enrolling in the MS in Applied Biostatistics program with sufficient probability, statistics and computing background to enter 800 levels courses and finish the MS program within a year. The course will be offered during the 3 weeks preceding the Fall semester, and will involve 15 day-long modules. Modules will generally run from 10am to 5pm, combining a traditional lecture (10am to 12pm), a practice session in which students will practice the notions learned in class through exercises (1pm to 2:30pm), and a computer lab (3pm to 5pm) in which the students will learn basic computing in R and SAS and also apply the notions learned in class to real data. Please note one year of calculus to include multivariable calculus and linear algebra are prerequisites for this course. Allowing a student to waive this course is at the discretion of program directors, Paola Sebastiani and Yorghos Tripodis. [2 cr.]

2017FALLSPHBS800 A1, Aug 14th to Sep 1st 2017
Days Start End Type Bldg Room
MTWRF 10:00 am 12:00 pm INS 301

Statistical Programming for Biostatisticians

SPH BS 803 (2 credits)

This course will focus on skills required for advanced computing applications in biostatistics. Students will learn statistical programming and methods such as loops, functions, macros as well as data visualization techniques in SAS and R. Furthermore, the course will provide and introduction to Linux and basic statistical programming in Python. Lab sessions S will also provide students with basic computing skills to enroll to more advanced statistical classes such as BS830 and BS857.

2017FALLSPHBS803 A1, Sep 5th to Oct 24th 2017
Days Start End Type Bldg Room
T 10:00 am 12:50 pm HOU R107

Intermediate Statistical Computing and Applied Regression Analysis

SPH BS 805 (4 credits)

This course is a sequel to BS723. Emphasis is placed on the use of intermediate-level programming with the SAS statistical computer package to perform analyses using statistical models with emphasis on linear models. Computing topics include advanced data file manipulation, concatenating and merging data sets, working with date variables, array and do-loop programming, and macro construction. Statistical topics include analysis of variance and covariance, multiple linear regression, logistic regression, survival analysis, the analysis of correlated data, and statistical power. Includes a required lab section.

2017FALLSPHBS805 A1, Sep 11th to Dec 18th 2017
Days Start End Type Bldg Room
M 6:00 pm 8:50 pm INS 112
M 8:00 pm 8:50 pm INS 1110
2017FALLSPHBS805 B1, Sep 7th to Dec 14th 2017
Days Start End Type Bldg Room
R 10:00 am 12:50 pm INS 214
R 12:00 pm 12:50 pm INS 1110
2018SPRGSPHBS805 A1, Jan 18th to May 2nd 2018
Days Start End Type Bldg Room
TBD TBD
TBD TBD

Multivariable Analysis for Biostatisticians

SPH BS 806 (4 credits)

This course will focus on skills required for effective conduct of data analysis. This course will focus on the multiple regression modeling and multivariate analysis to cover multi-way anova, multiple linear regression, classification and regression trees, automated model search, model fit and diagnostic, experimental design and multivariate analysis (PCA and cluster analysis) with particular emphasis on applications in medicine and public health.

2017FALLSPHBS806 A1, Sep 11th to Dec 11th 2017
Days Start End Type Bldg Room
M 6:00 pm 8:50 pm HOU R108

Meta-Analysis for Public Health & Medical Research

SPH BS 810 (4 credits)

Meta-analysis is the statistical analysis of research findings and is widely used in public health and medical research. Typically meta-analysis is employed to provide summary results of the research in an area, but other uses include exploratory analyses to find types of subjects who best respond to a treatment or find study-level factors that affect outcomes. The course will cover the theory and use of the most common meta-analytic methods, the interpretation and limitations of results from these methods, diagnostic procedures, and some advanced topics with a focus on public health application. Grading will be based on homework, an exam and a project.

2017FALLSPHBS810 A1, Sep 6th to Dec 20th 2017
Days Start End Type Bldg Room
W 2:00 pm 4:50 pm INS 210
2018SPRGSPHBS810 A1, Jan 19th to May 2nd 2018
Days Start End Type Bldg Room
TBD TBD

Logistic Regression and Survival Analysis

SPH BS 820 (4 credits)

This course provides basic knowledge of logistic regression and analysis of survival data. Regression modeling of categorical or time-to-event outcomes with continuous and categorical predictors is covered. Checking of model assumptions, goodness of fit, use of maximum likelihood to determine estimates and test hypotheses, use of descriptive and diagnostic plots are emphasized. The SAS statistical package is used to perform analyses. Grading will be based on homework and exams.

2018SPRGSPHBS820 A1, Jan 22nd to May 7th 2018
Days Start End Type Bldg Room
M 6:00 pm 8:50 pm

Categorical Data Analysis

SPH BS 821 (4 credits)

This course focuses on the statistical analysis of categorical outcome data. Topics include the binomial and Poisson distributions, logistic and Poisson regression, nonparametric methods for ordinal data, smoothed regression modeling, the analysis of correlated categorical outcome data, cluster analysis, missing data and sample size calculations. The course emphasizes practical application and makes extensive use of the SAS programming language.

2017FALLSPHBS821 A1, Sep 7th to Dec 14th 2017
Days Start End Type Bldg Room
R 6:00 pm 8:50 pm INS 201

Advanced Methods in Statistical Computing

SPH BS 822 (4 credits)

This course introduces advanced statistical methods and programming techniques that allow students to examine advanced statistical models that go beyond that available with standard SAS procedures taught in BS805. Topics include simulation studies, bootstrapping and Bayesian analysis. Students will apply these methods in homework assignments.

2018SPRGSPHBS822 A1, Jan 19th to May 2nd 2018
Days Start End Type Bldg Room
TBD TBD

Advanced Methods in Infectious Disease Epidemiology

SPH BS 825 (2 credits)

This course aims to introduce students to statistical and mathematical methods used in infectious disease epidemiology. Students will be able to evaluate and appraise the literature in this field, be able to select which methods to use in different circumstances, implement some methods in simple situations and we will provide sufficient background reading that students can further examine methods that are of particular interest. This will be a hands-on course involving class discussions, computer lab sessions and a class debate on a controversial topic in infectious disease epidemiology.

2017FALLSPHBS825 A1, Oct 25th to Dec 13th 2017
Days Start End Type Bldg Room
W 2:00 pm 4:50 pm INS 212

Design and Analysis of Microarray Experiments and Next Generation Sequencing

SPH BS 830 (4 credits)

In this course, students will be presented with the methods for the analysis of gene expression data measured through microarrays. The course will start with a review of the basic biology of gene expression and an overview of microarray technology. The course will then describe the statistical techniques used to compare gene expression across different conditions and it will progress to describe the analysis of more complex experiments designed to identify genes with similar functions and to build models for molecular classification. The statistical techniques described in this course will include general methods for comparing population means, clustering, classification, simple graphical models and Bayesian networks. Methods for computational and biological validation will be discussed.