Biostatistics

Online Certificate Program

10 courses, 4 weeks each
$5,000

Biostatistics Certificate Program

This Program is for you if

  • You are a biomedical researcher and need to strengthen your basic statistics skills
  • You work with clinical trials and need to know the statistical procedures that govern them
  • You are a biotech researcher seeking more expertise in statistics

Hint:  Check out our job boards page, conduct some job searches, find some jobs you are interested in, and see what skills are needed before you start your program of study.  Statistics.com can help you acquire most of the analytics skills you need.

Program Content

The Biostatistics Certificate Program consists of ten 4-week courses offered completely online at Statistics.com. There is a group of required topics, and a selection of electives.  The workload for the entire program is the equivalent of 21 credits in the U.S. academic system.  At the completion of the program you will have learned how to:

  • Design and analysis principles for randomized controlled trials
  • Design principles for observational (epidemiological) studies, and the potential problems with these studies 
  • Concepts of inference relevant for biostatistics (ROC curves, odds rations, relative risk)
  • How to fit linear and logistic regression models, interpret output, and conduct diagnostics
  • How to model and evaluate survival (time-to-event) data
  • Methods to determine sample size for a study, and calculate power
  • Bayesian methods for analyzing data (electives)
  • Adaptive methods for designing clinical trials (elective)

 

 

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In this certificate program, there are '7' required courses + you choose '3' electives

FULL PROGRAM LIST

Required Courses (7)

  • Biostatistics 1 for Medical Science and Public Health

    This course covers the principal statistical concepts used in medical and health sciences. Basic concepts common to all statistical analysis are reviewed, and those concepts with specific importance in medicine and health are covered in detail.

    Tuition: $499 (5.0 CEUs) Next three dates:
    August 05, 2016 to September 02, 2016January 06, 2017 to February 03, 2017August 04, 2017 to September 01, 2017January 05, 2018 to February 02, 2018August 03, 2018 to August 31, 2018
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  • Biostatistics 2 for Medical Science and Public Health
    This course covers clinical trial designs including randomized controlled trials, ROC curves, CI and tests for relative risk and odds ratio, and an introduction to survival analysis. Tuition: $499 (5.0 CEUs) Next three dates:
    September 02, 2016 to September 30, 2016February 10, 2017 to March 10, 2017September 01, 2017 to September 29, 2017February 09, 2018 to March 09, 2018
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  • Categorical Data Analysis
    This course will cover the analysis of contingency table data (tabular data in which the cell entries represent counts of subjects or items falling into certain categories). Topics include tests for independence (comparing proportions as well as chi-square), exact methods, and treatment of ordered data. Both 2-way and 3-way tables are covered. Tuition: $499 (5.0 CEUs) Next three dates:
    October 07, 2016 to November 04, 2016April 07, 2017 to May 05, 2017October 06, 2017 to November 03, 2017April 06, 2018 to May 04, 2018October 05, 2018 to November 02, 2018
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  • Designing Valid Statistical Studies
    This course covers the issues you need to address in designing studies to produce statistically valid conclusions.  Topics covered in the course include: overview of validity and bias, selection bias, information bias, and confounding bias. Tuition: $469 (5.0 CEUs) Next three dates:
    February 17, 2017 to March 17, 2017July 07, 2017 to August 04, 2017February 16, 2018 to March 16, 2018July 06, 2018 to August 03, 2018
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  • Regression Analysis
    In this course you will learn how multiple linear regression models are derived, use software to implement them, learn what assumptions underlie the models, learn how to test whether your data meet those assumptions and what can be done when those assumptions are not met, and develop strategies for building and understanding useful models. Tuition: $499 (5.0 CEUs) Next three dates:
    September 30, 2016 to October 28, 2016January 20, 2017 to February 17, 2017May 12, 2017 to June 09, 2017September 29, 2017 to October 27, 2017January 19, 2018 to February 16, 2018May 11, 2018 to June 08, 2018October 05, 2018 to November 02, 2018
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  • Sample Size and Power Determination
    This course shows you how to make sample size determinations for various statistical tests and for confidence intervals, as needed for experimental studies such as comparison studies, as well as for other types of experiments. Tuition: $509 (5.0 CEUs) Next three dates:
    November 18, 2016 to December 16, 2016April 14, 2017 to May 12, 2017November 17, 2017 to December 15, 2017April 13, 2018 to May 11, 2018November 16, 2018 to December 14, 2018
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  • Survival Analysis
    The course describes the various methods used for modeling and evaluating survival data, or time-to event data. Tuition: $499 (5.0 CEUs) Next three dates:
    September 16, 2016 to October 14, 2016March 10, 2017 to April 07, 2017September 15, 2017 to October 13, 2017March 09, 2018 to April 06, 2018September 14, 2018 to October 12, 2018
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Elective Courses (3 required)

  • Adaptive Designs for Clinical Trials

    This course will teach you how to design, monitor and analyze clinical trials using statistically sound principles that incorporate interim looks at the data, possible early stopping, and sample size re-estimation at interim. It covers group sequential designs, adaptive dose finding (escalation) designs, and two-stage (e.g., phase I/II) adaptive designs. In addition, the impact of protocol amendments on clinical outcomes will also be studied.

    Tuition: $499 (5.0 CEUs) Next three dates:
    March 10, 2017 to April 07, 2017March 09, 2018 to April 06, 2018
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  • Bayesian Regression Modeling via MCMC Techniques
    This course covers the application of Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WinBUGS software. Tuition: $499 (5.0 CEUs) Next three dates:
    April 21, 2017 to May 19, 2017April 20, 2018 to May 18, 2018
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  • Bayesian Statistics in R
    Using R and the associated R package JAGS, you will learn how to specify and run Bayesian modeling procedures using regression models for continuous, count and categorical data. Tuition: $499 (5.0 CEUs) Next three dates:
    September 23, 2016 to October 21, 2016March 24, 2017 to April 21, 2017September 22, 2017 to October 20, 2017March 23, 2018 to April 20, 2018September 21, 2018 to October 19, 2018
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  • Bootstrap Methods
    This course covers the basic theory and application of the bootstrap family of procedures, with the emphasis on applications. Tuition: $499 (5.0 CEUs) Next three dates:
    September 16, 2016 to October 14, 2016September 15, 2017 to October 13, 2017September 14, 2018 to October 12, 2018
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  • Clinical Trials - Phamacokinetics and Bioequivalence
    This course covers the statistical measurement and analysis methods relevant to the study of pharmacokinetics (the absorption, distribution and secretion of drugs), dose-response modeling, and bioequivalence.  It provides practical work with actual/simulated clinical trial data. Tuition: $499 (5.0 CEUs) Next three dates:
    July 21, 2017 to August 18, 2017
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  • Cluster Analysis
    In this online course, “Cluster Analysis,” you will learn how to use various cluster analysis methods to identify possible clusters in multivariate data. Methods discussed include hierarchical clustering, k-means clustering, two-step clustering, and normal mixture models for continuous variables. Tuition: $499 (5.0 CEUs) Next three dates:
    June 02, 2017 to June 30, 2017June 01, 2018 to June 29, 2018
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  • Ecological and Environmental Sampling
    This course covers sampling methods and analyses used to study of the density and abundance of animals and plants, and other important biological variables. Tuition: $499 (5.0 CEUs) Next three dates:
    February 17, 2017 to March 17, 2017
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  • Epidemiologic Statistics
    This is an introductory epidemiology course that emphasizes the underlying concepts and methods of epidemiologic statistics - study designs, and measures of disease frequency and treatment effect. Tuition: $509 (6.25 CEUs) Next three dates:
    November 11, 2016 to December 16, 2016November 10, 2017 to December 15, 2017November 09, 2018 to December 14, 2018
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  • Introduction to Bayesian Computing and Techniques
    Participants in this course will learn why Bayesian computing has gained wide popularity, and how to apply Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WinBUGS software. Tuition: $499 (5.0 CEUs) Next three dates:
    August 26, 2016 to September 23, 2016February 24, 2017 to March 24, 2017August 25, 2017 to September 22, 2017February 23, 2018 to March 23, 2018August 24, 2018 to September 21, 2018
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  • Introduction to Bayesian Hierarchical and Multi-level Models
    This course extends the Bayesian modeling framework to cover hierarchical models, and to add flexibility to standard Bayesian modeling problems. Tuition: $499 (5.0 CEUs) Next three dates:
    May 19, 2017 to June 16, 2017May 18, 2018 to June 15, 2018
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  • Introduction to Bayesian Statistics
    This course will introduce you to the basic ideas of Bayesian Statistics. You will learn how to perform Bayesian analysis for a binomial proportion, a normal mean, the difference between normal means, the difference between proportions, and for a simple linear regression model. Tuition: $499 (5.0 CEUs) Next three dates:
    January 13, 2017 to February 10, 2017
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  • Introduction to Resampling Methods
    The course introduces the basic concepts and methods of resampling methods, including bootstrap procedures and permutation (randomization) tests, with little or no complex theory or confusing notation. Tuition: $389 (3.75 CEUs) Next three dates:
    July 14, 2017 to August 04, 2017July 13, 2018 to August 03, 2018
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  • Introduction to Statistical Issues in Clinical Trials
    This course covers the basic statistical principles in the design and analysis of randomized controlled trials. Tuition: $509 (5.0 CEUs) Next three dates:
    December 09, 2016 to January 06, 2017June 16, 2017 to July 14, 2017December 08, 2017 to January 05, 2018
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  • Logistic Regression
    Logistic regression extends ordinary least squares (OLS) methods to model data with binary (yes/no, success/failure) outcomes. Rather than directly estimating the value of the outcome, logistic regression allows you to estimate the probability of a success or failure. Tuition: $509 (5.0 CEUs) Next three dates:
    September 02, 2016 to September 30, 2016March 10, 2017 to April 07, 2017September 01, 2017 to September 29, 2017March 02, 2018 to March 30, 2018August 31, 2018 to September 28, 2018
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  • Matrix Algebra Review
    This course will provide the basics of vector and matrix algebra and operations necessary to understand multivariate statistical methods, including the notions of the matrix inverse, generalized inverse and eigenvalues and eigenvectors. After successfully completing this course, you will be able to use and understand vector and matrix operations and equations, find and use a matrix inverse, and use and understand the eigenset of a symmetric matrix. Tuition: $469 (5.0 CEUs) Next three dates:
    March 17, 2017 to April 14, 2017June 23, 2017 to July 21, 2017March 16, 2018 to April 13, 2018
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  • Maximum Likelihood Estimation
    This course will cover the derivation of maximum likelihood estimates, and their properties. Tuition: $249 (2.5 CEUs) Next three dates:
    November 25, 2016 to December 09, 2016April 21, 2017 to May 05, 2017November 24, 2017 to December 08, 2017April 20, 2018 to May 04, 2018November 23, 2018 to December 07, 2018
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  • Meta Analysis
    This course will explain meta analysis - the methods that are used to assess multiple statistical studies on the same subject and draw conclusions. Dr. Rothstein will be the primary discussion leader for this course. Tuition: $509 (5.0 CEUs) Next three dates:
    November 18, 2016 to December 16, 2016April 07, 2017 to May 05, 2017July 21, 2017 to August 18, 2017November 17, 2017 to December 15, 2017April 06, 2018 to May 04, 2018July 20, 2018 to August 17, 2018November 16, 2018 to December 14, 2018
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  • Meta Analysis 2
    Meta-Analysis refers to the statistical analyses that are used to synthesize summary data from a series of studies.  This course covers some advanced issues in meta-analysis.  Participants should have completed the basic course in meta-analysis or an equivalent. Tuition: $499 (5.0 CEUs) Next three dates:
    August 26, 2016 to September 23, 2016August 25, 2017 to September 22, 2017
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  • Missing Data
    This online course teaches the basics of handling missing data including evaluation of types and patterns of missing data, strategies for analysis of data sets with item missing data, and imputation of missing data with an emphasis on multiple imputation. Tuition: $499 (5.0 CEUs) Next three dates:
    September 30, 2016 to October 28, 2016September 29, 2017 to October 27, 2017October 05, 2018 to November 02, 2018
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  • Modeling Count Data
    This course deals with regression models for count data; i.e. models with a response or dependent variable data in the form of a count or rate. The course will cover Poisson regression, the foundation for modeling counts, as well as extensions and modifications to the basic model. Tuition: $499 (5.0 CEUs) Next three dates:
    October 28, 2016 to November 25, 2016May 19, 2017 to June 16, 2017October 27, 2017 to November 24, 2017
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  • Multivariate Statistics
    This course covers key multivariate procedures such as multivariate analysis of variance (MANOVA), principal components, factor analysis and classification. Tuition: $499 (5.0 CEUs) Next three dates:
    February 03, 2017 to March 03, 2017July 07, 2017 to August 04, 2017February 02, 2018 to March 02, 2018July 06, 2018 to August 03, 2018
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  • Safety Monitoring Committees in Clinical Trials
    This course covers the statistical display and analysis methods used in monitoring clinical trials for safety, as well as the biases and pitfalls inherent in safety review. Tuition: $499 (5.0 CEUs) Next three dates:
    April 28, 2017 to May 26, 2017April 27, 2018 to May 25, 2018April 26, 2019 to May 24, 2019
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  • Spatial Analysis Techniques in R
    This course will teach users how to implement spatial statistical analysis procedures using R software. Tuition: $499 (5.0 CEUs) Next three dates:
    January 27, 2017 to February 24, 2017January 26, 2018 to February 23, 2018January 25, 2019 to February 22, 2019
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  • Spatial Statistics with Geographic Information Systems
    Spatial statistical analysis uses methods adapted from conventional statistics to address problems in which spatial location is the most important explanatory variable. This course will explain and give examples of the analysis that can be conducted in a geographic information system such as ArcGIS or Mapinfo. Tuition: $499 (5.0 CEUs) Next three dates:
    October 28, 2016 to November 25, 2016April 07, 2017 to May 05, 2017October 27, 2017 to November 24, 2017April 06, 2018 to May 04, 2018November 02, 2018 to November 30, 2018
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  • Statistics 3 – ANOVA and Regression
    This course provides an easy introduction to ANOVA and multiple linear regression through a series of practical applications. Tuition: $299 (3.75 CEUs) Next three dates:
    September 09, 2016 to September 30, 2016November 11, 2016 to December 02, 2016January 20, 2017 to February 10, 2017March 17, 2017 to April 07, 2017May 12, 2017 to June 02, 2017July 14, 2017 to August 04, 2017September 08, 2017 to September 29, 2017November 10, 2017 to December 01, 2017
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Tuition and Fees:  $5000  

The above estimate includes the program registration fee, and individual course fees.  It reflects considerable savings that are available if you pay the program cost upon enrollment.  You also have the option of paying in monthly installments, or on a course-by-course basis:

  • Pay for your program upon enrollment:  $5000
  • Pay in 18 monthly installments:  $290/month
  • Pay as you go: $6,053

 

Detailed Fees Description

Is there an application deadline?

No - applications are accepted and students are enrolled year round on a rolling basis. See the timeline tool in the "Program" tab to see the recommended sequence of courses starting in any given month.

 

Are there admission requirements?

We'd like you to have a Bachelor's degree from an accredited college or university.

Also, you should have recently had introductory statistics, equivalent to Statistics.com's Statistics 1 and Statistics 2 . If you haven't, or if you'd like to go over that ground again, no worries. We'll put you in Statistics 1 and 2 at no charge once we accept your application! Statistics 1 starts at the beginning of each month.

 

What are the fees?

The application fee is $75, which you can pay here. The enrollment fee is $495, which includes free enrollment in Statistics.com's Statistics 1 and Statistics 2 courses if needed. Once you are enrolled, you pay course tuition fees "as you go," at the discounted academic rate.

 

Is there any particular way I should schedule my courses?

Not really, no.  Scheduling is quite flexible with various courses offered all throughout the year and a class format that does not require you to be online at any specific times.  Most PASS students choose to take one course at a time, but we encourage you to plan your program in a way that fits your schedule and helps you personally learn best.

 

Can I get credit for courses I have already taken at Statistics.com?

Yes. You can apply up to three prior courses to your program, provided you got adequate marks.

 

If I have already mastered a topic from my work or prior academic experience, do I need to repeat it?

No. We do not want to waste your time. Just share with us how you covered the topic and we'll swap out that course for something else.

 

The courses in the PASS programs don't exactly match what I need. Can I craft a custom program?

Maybe. Contact us so we can review what you want to do, and work together to create a program that makes sense!

 

How long do I have to complete the PASS certificate?

If you take one course at a time, most programs can be completed in 12-15 months.  We know that sometimes life takes unexpected turns, so you have 3 years to complete the certificate.

 

Are the certificate programs accredited?

  • The American Council on Education (ACE) has recommended academic credit for all the required courses in the Analytics for Data Science Certificate Program, so they can be easily transfered to another educational institution that accepts ACE CREDIT.
  • The Institute for Operations Research and the Management Sciences (INFORMS) chose Statistics.com as a Recognized Analytics Education Provider that supports the Certified Analytics Professional (CAP®) program.
  • Each course has C.E.U.'s granted, based on the length of the course.  (Typically 5.0 CEUs for 4 week courses.)
  • The Institute for Statistics Education itself is not an accredited academic institution, but is

    certified to operate by the State Council of Higher Education for Virginia (SCHEV).


Still have questions?

Contact the registrar (ourcourses [at] statistics.com) and we'll try to answer them as well as possible.

 

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Student Profile

I realized one of my work projects would benefit from deeper statistical analysis, including functions I had a good background in and knew at one time, but I needed to dust the cobwebs off and catch up to changes in the field.

Douglas D. Reimel, Jr.

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