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Biostatistics Certificate Program

Certificate Program Tuition and Fees
As a candidate, you are eligible for academic  tuition - type "PASS" when prompted for your academic affiliation during online registration to receive a reduced tuition per course.  If you register online for three courses, an automatic $200 reduction is applied.  

Please note that payment of the tuition does not include the purchase of any required texts or software. 

The total cost of the program varies depending on the electives chosen. Actual fees may differ from the estimate below. Fees are subject to change without prior notice.

Application Fee: $75
Program Registration Fee:$695
Estimated Required Course Tuition: $3713
Estimated Electives Course Tuition: $3701
Estimated Material Cost: $980
Estimated Total Cost: $9164

Biostatistics Certificate Program

Program Content

The program consists of courses offered completely online at Statistics.com. There is a group of required topics, and a selection of electives. Select one of several concentration strands (see "Course List" below) as a guide or explore electives.

Planning my Program

Most courses are four weeks long, and are scheduled either once or twice a year. Courses start on specific dates, but do not require you to be online at any particular time of the day. Since various courses are available throughout the year, the Program provides flexibility in scheduling.

Course ListExplore elective options, including suggested concentration strands

Thanks

TimelineView a typical sequence of courses


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: $549 (5.0 CEUs) New available dates:
    January 09, 2015 to February 06, 2015August 07, 2015 to September 04, 2015January 08, 2016 to February 05, 2016August 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: $549 (5.0 CEUs) New available dates:
    February 13, 2015 to March 13, 2015September 04, 2015 to October 02, 2015February 12, 2016 to March 11, 2016September 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: $549 (5.0 CEUs) New available dates:
    April 10, 2015 to May 08, 2015October 09, 2015 to November 06, 2015April 08, 2016 to May 06, 2016October 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) New available dates:
    February 20, 2015 to March 20, 2015July 10, 2015 to August 07, 2015February 19, 2016 to March 18, 2016July 08, 2016 to August 05, 2016February 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) New available dates:
    January 23, 2015 to February 20, 2015May 15, 2015 to June 12, 2015October 02, 2015 to October 30, 2015January 22, 2016 to February 19, 2016May 13, 2016 to June 10, 2016September 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: $549 (5.0 CEUs) New available dates:
    April 17, 2015 to May 15, 2015November 20, 2015 to December 18, 2015April 15, 2016 to May 13, 2016November 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: $549 (5.0 CEUs) New available dates:
    March 13, 2015 to April 10, 2015September 18, 2015 to October 16, 2015March 11, 2016 to April 08, 2016September 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 (7 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: $549 (5.0 CEUs) New available dates:
    March 20, 2015 to April 17, 2015March 18, 2016 to April 15, 2016
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  • Advanced Logistic Regression After taking this course, participants will be able to specify, implement and interpret the output of a variety of advanced logistic regression models not covered in the first course, Logistic Regression. Tuition: $549 (5.0 CEUs) New available dates:
    April 24, 2015 to May 22, 2015April 22, 2016 to May 20, 2016
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  • Advanced Survival Analysis This course focuses on the extension of the Cox proportional hazards model to (a) recurrent event survival analysis and (b) competing risks survival analysis. Tuition: $549 (5.0 CEUs) New available dates:
    November 06, 2015 to December 04, 2015November 04, 2016 to December 02, 2016
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  • Analysis and Sensitivity Analysis for Missing Data This course extends the study of missing data analysis that was introduced in "Missing Data", and covers the situation when data are not missing at random. Tuition: $549 (5.0 CEUs) New available dates:
    To be scheduled.
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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: $549 (5.0 CEUs) New available dates:
    April 24, 2015 to May 22, 2015October 23, 2015 to November 20, 2015
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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: $549 (5.0 CEUs) New available dates:
    March 27, 2015 to April 24, 2015September 25, 2015 to October 23, 2015March 25, 2016 to April 22, 2016September 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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  • Biostatistics in R: Clinical Trial Applications This course covers the implementation in R of statistical procedures important for the clinical trial statistician. Tuition: $549 (5.0 CEUs) New available dates:
    May 22, 2015 to June 19, 2015
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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: $549 (5.0 CEUs) New available dates:
    February 20, 2015 to March 20, 2015
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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: $549 (5.0 CEUs) New available dates:
    July 24, 2015 to August 21, 2015July 22, 2016 to August 19, 2016July 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: $549 (5.0 CEUs) New available dates:
    June 05, 2015 to July 03, 2015June 03, 2016 to July 01, 2016June 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: $549 (5.0 CEUs) New available dates:
    February 20, 2015 to March 20, 2015February 19, 2016 to March 18, 2016
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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: $549 (6.25 CEUs) New available dates:
    November 13, 2015 to December 18, 2015November 11, 2016 to December 09, 2016
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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: $549 (5.0 CEUs) New available dates:
    February 27, 2015 to March 27, 2015August 28, 2015 to September 25, 2015
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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: $549 (5.0 CEUs) New available dates:
    May 22, 2015 to June 19, 2015
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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: $549 (5.0 CEUs) New available dates:
    January 16, 2015 to February 13, 2015July 03, 2015 to July 31, 2015January 15, 2016 to February 12, 2016July 01, 2016 to July 29, 2016January 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) New available dates:
    January 23, 2015 to February 13, 2015July 03, 2015 to July 24, 2015
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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: $549 (5.0 CEUs) New available dates:
    June 19, 2015 to July 17, 2015December 11, 2015 to January 08, 2016June 17, 2016 to July 15, 2016December 09, 2016 to January 06, 2017June 16, 2017 to July 14, 2017December 08, 2017 to January 05, 2018
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  • Introduction to Statistical Modeling This course provides a solid introduction to the ideas and techniques of statistical modeling. Tuition: $469 (5.0 CEUs) New available dates:
    January 02, 2015 to January 30, 2015June 12, 2015 to July 10, 2015January 01, 2016 to January 29, 2016June 10, 2016 to July 08, 2016January 06, 2017 to February 03, 2017June 09, 2017 to July 07, 2017January 05, 2018 to February 02, 2018June 08, 2018 to June 08, 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: $549 (5.0 CEUs) New available dates:
    March 13, 2015 to April 10, 2015September 04, 2015 to October 02, 2015March 11, 2016 to April 08, 2016September 02, 2016 to September 30, 2016
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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) New available dates:
    March 20, 2015 to April 17, 2015June 26, 2015 to July 24, 2015November 13, 2015 to December 11, 2015March 18, 2016 to April 15, 2016June 24, 2016 to July 22, 2016November 11, 2016 to December 09, 2016
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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) New available dates:
    April 17, 2015 to May 01, 2015November 27, 2015 to December 11, 2015
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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: $629 (5.0 CEUs) New available dates:
    April 03, 2015 to May 01, 2015July 24, 2015 to August 21, 2015April 01, 2016 to April 29, 2016July 22, 2016 to August 19, 2016April 07, 2017 to May 05, 2017July 21, 2017 to August 18, 2017
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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: $549 (5.0 CEUs) New available dates:
    August 28, 2015 to September 25, 2015August 26, 2016 to September 23, 2016August 25, 2017 to September 22, 2017
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  • Missing Data Tuition: $549 (5.0 CEUs) New available dates:
    October 02, 2015 to October 30, 2015September 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: $549 (5.0 CEUs) New available dates:
    May 22, 2015 to June 19, 2015October 30, 2015 to November 27, 2015May 20, 2016 to June 17, 2016October 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: $549 (5.0 CEUs) New available dates:
    February 06, 2015 to March 06, 2015July 10, 2015 to August 07, 2015
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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: $549 (5.0 CEUs) New available dates:
    October 23, 2015 to November 20, 2015October 21, 2016 to November 18, 2016October 20, 2017 to November 17, 2017October 19, 2018 to November 16, 2018
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  • Sample Size and Power-Analysis for Cluster-Randomized and Multi-Site Studies This course covers the methods for calculating power and sample size for cluster-randomized studies. Tuition: $549 (5.0 CEUs) New available dates:
    January 16, 2015 to February 13, 2015
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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: $549 (5.0 CEUs) New available dates:
    December 11, 2015 to January 15, 2016December 09, 2016 to January 13, 2017December 08, 2017 to January 12, 2018December 07, 2018 to January 11, 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: $549 (5.0 CEUs) New available dates:
    May 08, 2015 to June 05, 2015October 30, 2015 to November 27, 2015April 08, 2016 to May 06, 2016October 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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  • Statistical Analysis of Microarray Data with R

    This course will acquaint you with the process of analysis of microarray data. You will learn how to preprocess the data, short list the differentially expressed genes, carryout principal component analysis to reduce the dimensionality and to detect interesting gene expression patterns, and clustering of genes and samples. Illustrations of the statistical issues involved at the various stages of the analysis will use real data sets from DNA microarray experiments; background will be provided on the use of Bioconductor.

    Tuition: $549 (5.0 CEUs) New available dates:
    April 17, 2015 to May 15, 2015April 15, 2016 to May 13, 2016
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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: $549 (5.0 CEUs) New available dates:
    March 13, 2015 to April 10, 2015September 18, 2015 to October 16, 2015March 11, 2016 to April 08, 2016September 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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Earn a Certificate

When To Apply

Applications are accepted and students are enrolled year round on a rolling basis. You pay an application fee and submit it with your application form. You may pay the fee online here, or enclose a check (USD drawn on a US bank) with your application. NOTE: The application is your opportunity to specifically outline your past education and experience, and provide any other information you want us to consider during our review. The value of this background and experience is the ability to place the statistical methods covered in the Program in an appropriate application context. Once we have accepted your application, we will be happy to assist you with more specific questions about PASS.


Admission Criteria and Prerequisites

  1. A Bachelor's degree from an accredited college or university.
  2. The successful recent completion of an introductory statistics course equivalent to Statistics.com's Statistics 1 and Statistics 2,* (please provide proof in your PASS application).

*If you do not meet this requirement, you may still enroll in PASS. Upon review of your application, we will determine whether you need to take Statistics.com's Statistics 1 and 2. If you do require these foundational courses, we will register you for them and waive the entire tuition fee for these two courses.


Procedure for Enrollment and Matriculation in PASS

  1. Complete and submit the application, your photograph, and the payment of the application fee. Notification of approval is sent usually within one week.
  2. After your application is approved, enroll in the PASS of your choice here and pay the enrollment fee.
  3. If you have NOT already met the introductory statistics requirement, you will be registered for the Institute's Statistics 1 and 2 courses. Full tuition is waived for matriculated PASS candidates.
  4. After you submit your application and receive approval, pay the enrollment fee, and meet the introductory statistics requirement, you will be matriculated into the program and are considered a PASS candidate. You may now register for classes as a PASS candidate and receive our academic tuition deduction - specify PASS as your academic affiliation during the online registration process.

Rules and Policies

  • Once you are matriculated in PASS, you are considered a student at the Institute for Statistics Education at Statistics.com.
  • You must be a fully-matriculated PASS candidate to be eligible to receive the academic tuition deduction provided during online registration, and to receive PASS credit for courses.
  • The Program enrollment fee is a required one-time charge in addition to tuition for individual courses.
  • You are expected to complete all the courses in your Program within 5 years of your matriculation into the program. Any exceptions must be approved in writing by the Institute prior to that 5-year deadline.
  • Upon completion of your PASS, you will receive a Certificate and your official transcript.
  • Up to three Institute courses may be taken prior to enrolling in PASS; credit for these courses may be applied to your PASS transcript once you are a matriculated PASS candidate, provided that adequate marks are earned.

Description

Since its founding in 2002, the Institute has been the global pioneer and leader in statistics and analytics education.  The Institute now offers 100+ online courses in statistics and analytics, plus four certificate programs. 

This Biostatistics certificate program focuses on those courses relevant for the study of topics in biostatistics, which include controlled clinical trials, epidemiology and environmental science.  Most courses are 4 weeks long, do not require you to be online at specific times during the week, and offer continuing education credits.  The workload for the entire program is the equivalent of 21 credits in the U.S. academic system.

The courses are taught by recognized authorities with whom you share a private discussion forum for the entire course period.

Most PASS candidates choose to take one course at a time.  With courses starting every week of the year, there is considerable scheduling flexibility.  Admission applications are accepted on a rolling basis throughout the year.

Program Objectives

The program consists of fourteen 4-week courses.  You will learn:

  • 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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From a Student Profile:

I’ve increased my exposure in my department and profession because I have experience with a number of data analysis approaches. I’ve been asked to give guest lectures in other classes on statistical methods and different strategies, and I was asked to present at a national conference.

Todd Lewis, Ph.D., Associate Professor
Department of Counseling and Educational Development
School of Education
University of North Carolina at Greensboro

see the complete student profile
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