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Graduate Certificate in Biostatistics 

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Graduate Certificate in Biostatistics
 at 
The Ohio State University 
Overview

Develop graduates ability to design and conduct biostatistical studies, including observational studies, clinical trials, and intervention studies

Duration

1 year

Start from

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Total fee

10.35 Lakh

Mode of learning

Online

Official Website

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Course Level

PG Certificate

Graduate Certificate in Biostatistics
 at 
The Ohio State University 
Highlights

  • Earn a certificate after completion of course from Ohio State University
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Graduate Certificate in Biostatistics
 at 
The Ohio State University 
Course details

Skills you will learn
Who should do this course?

Individuals with a bachelor's degree in statistics, mathematics, computer science, biology, public health, or a related field

What are the course deliverables?

Evaluate study designs and analytical methods commonly used in public health research

Fit and interpret standard regression models using statistical software

Apply data management techniques to prepare data for statistical analysis

More about this course

The biostatistics certificate and minor program teaches working professionals and students how to conduct biostatistical analyses and understand study designs in public health research and data analysis

This 14-credit program has a strong focus on biostatistics and public health, critical background in epidemiology and has flexibility in learning statistical software (R, SAS and Strata)

These skills are essential for today’s statisticians, epidemiologists, environmental health scientists and specialists, management analysts and medical scientists

Graduate Certificate in Biostatistics
 at 
The Ohio State University 
Curriculum

PUBHEPI 6410 – Principles of Epidemiology

Introduction to the nature and scope of epidemiology; survey of basic epidemiological methods and their application to selected acute and chronic health problems

 

PUBHBIO 6250 – Regression Methods for the Health Sciences

Multivariate regression methods on four problems – including logistic regression, count data regression, time?to?event analysis, and repeated measures data. Focused on model interpretation, hypothesis testing, confidence interval, confounding, interaction, and model selection. Illustrated with real data sets and analysis assignments

 

STA 5730 – Introduction to R for Data Science

Introduces underlying concepts of the R programming language and R package ecosystem for manipulation, visualization, and modeling of data, and for communicating the results of and enabling replication of their analyses

Faculty Icon

Graduate Certificate in Biostatistics
 at 
The Ohio State University 
Faculty details

Patrick Schnell
Dr. Schnell's research areas of interest include Bayesian inference, simultaneous inference, dependent data, clinical trials, and personalized medicine. He is currently working on methods for handling clinical trial data in which certain groups may respond differently to treatment.
James Odei
Dr. Odei’s research interests include spatial, temporal, and spatiotemporal modeling using Bayesian methods and hierarchical modeling and applications to ecology and health. He believes interdisciplinary collaboration is key to making scientific progress.

Graduate Certificate in Biostatistics
 at 
The Ohio State University 
Entry Requirements

General
Requirements for 12th gradeUp Arrow Icon
  • No specific cutoff mentioned
GraduationUp Arrow Icon
  • No specific cutoff mentioned
TOEFLUp Arrow Icon
  • Marks - 79/120
Conditional OfferUp Arrow Icon
  • Not mentioned

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Graduate Certificate in Biostatistics
 at 
The Ohio State University 
Contact Information

Address

281 W. Lane Ave. | Columbus, Ohio 43210
Columbus ( Ohio)

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