Course Details

A Course in Commonly Used Biostatistical Methodologies in Clinical Research


Course ID : QI-BIO-201
Date : For May 2017 - Sept 2017 classes, in NJ, USA/Bangalore, India (depending on no. of students): By Arrangement with Instructor(s)
Duration : Intensive In-Class Training w/Instructor in Classroom to assist students complete assignments
Location : New Jersey, USA and Bangalore, India (depending on no. of students)
Mode of Training : In-Class
Dates: Class Lecture : By Arrangement with Instructor(s)
Dates: Instructor Assistance in Classroom : By Arrangement with Instructor(s)
Dates: Instructor Access via Email : Post -class access
For Registration/Pricing, call: : Please call our office in New Jersey at 609-454-5635 or email us at info_india@quantument.com for pricing/registration


The broad objective of this course is two-fold. First, the course is intended to impart an understanding of the principles and methods of reasoning that underlie modern biostatistics, providing the basis for advanced study in biostatistics.

Second, the course provides in-depth information concerning biostatistical methodologies that are commonly used in the analysis of the clinical trial data. Each of these methods is illustrated, using SAS, with emphasis on

  • Detailed discussion of each statistical test, assumptions required and when it is appropriate to use it
  • How to use SAS to perform the test
  • Interpretation of the SAS output
  • Sample exercise from clinical research on each statistical test<


  • College Algebra and/or basic understanding of statistical concepts, although no prior knowledge of statistics is expected of the participants.
  • Foundation Course in Statistical Analysis Software (SAS) Programming.

Learning Outcomes

After completing this course, the participants will be able to

  • Have a solid understanding of fundamental concepts in biostatistics
  • Apply descriptive techniques in clinical research
  • Read statistically oriented health research articles with more understanding than would otherwise be possible
  • Apply statistical methods that are used commonly used in the analysis of the clinical trials data
  • SAS procedure that are used in the analysis
  • How to interpret the analysis output and thus, are able to make sound inferences from the output

Topics of Study

  • Populations and Samples, Scales of Measurement
  • Distributions and Graphs
  • Descriptive Statistics
  • Probability
  • Sampling Distribution
  • Key Concepts of Hypothesis Testing
  • Errors and Correct Decisions in Hypothesis Testing
  • One-Sample Hypothesis Tests
  • Two Independent Samples Hypothesis Tests for Means
  • Two Independent Samples Hypothesis Tests for Proportions
  • Two Dependent Samples (Matched Pairs) Tests
  • One-Way Analysis of Variance (ANOVA)
  • Two-Way Analysis of Variance
  • Simple Linear Regression and Multiple Linear Regression
  • Pearson Correlation and Spearman Rank Correlation
  • Analysis of Covariance
  • Simple Logistic Regression
  • Kappa Statistic, Odds ratio (OR) and Relative Risk (RR)