Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Biostatistics serves as the bridge between statistical reasoning and the life sciences, unlocking valuable data and evidence found in scientific literature. Simple Regression Analysis in Public Health certification by Coursera focuses on the application of simple regression methods, revealing the relationship between an outcome of interest and a single predictor through linear equations. Throughout the course, you will gain practical experience interpreting real data from published studies, while exploring topics such as confounding, adjustment, and effect modification. You will also learn the concept of logistic regression, confidence intervals, p-values, and Cox regression.
By mastering these concepts in Simple Regression Analysis in Public Health certification course, you will develop essential skills in data analysis and enhance your understanding of statistical reasoning within the realm of public health and the life sciences. The instructor of this course is John McGready who holds PhD and MS in biostatistics. This is a beginner-level fully online course provided by Johns Hopkins University.
The Highlights
- Beginner Level
- Fully Online
- Approx. 13 hours to Complete
- Certificate from Johns Hopkins University
Programme Offerings
- flexible schedule
- Shareable Certificate
- assessments
- subtitles
- 14 Days Refund
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Coursera |
Various options for paying Simple Regression Analysis in Public Health certification fees are available in this course. Candidates can customize their learning journey with flexible payment options, offering one month for immersive study, three months for comprehensive understanding, or six months for gradual progress.
Simple Regression Analysis in Public Health Fee
Mode of Enrolment | Fee |
1 Month Plan | Rs. 4,115 |
3 Months Plan | Rs. 8,230 |
6 Months Plan | Rs. 12,345 |
Eligibility Criteria
Certification Qualifying Details of Simple Regression Analysis in Public Health
To earn your certificate in Simple Regression Analysis in Public Health, you must demonstrate excellence in all mandatory assignments, ranging from quizzes to peer-graded tasks and other projects.
What you will learn
Upon completion of the Simple Regression Analysis in Public Health certification syllabus, you will acquire the knowledge and skills to:
- Engage in the practical application of regression methods to unveil associations between outcomes and predictors.
- Discern the presence of confounding variables within statistical analyses.
- You will execute adjustment estimates to refine and enhance the accuracy of statistical findings.
Who it is for
Simple Regression Analysis in Public Health classes aims at individuals aspiring to pursue any of the following career paths:
- Doctors
- Clinicians
- Doctoral Researchers
Admission Details
To embark on the application process for Simple Regression Analysis in Public Health training, you can follow the outlined steps:
Step 1: Access the Coursera platform by visiting the website https://www.coursera.org/ and logging into your account.
Step 2: Navigate through the course categories and find the course under "Public Health" or directly access it using the link https://www.coursera.org/learn/simple-regression-analysis-public-health
Step 3: Enroll in the course without any cost by selecting the "Enroll for Free" option available on the course page and opting for the audit mode.
Step 4: If you desire to obtain a certificate upon completion, choose the "Paid certificate" option and proceed with selecting your preferred payment method.
By following these steps, you can kick-start the application process for the captivating Simple Regression Analysis in Public Health online course with confidence, even if it's your first time.
The Syllabus
Videos
- Introduction
- Simple Regression: An Overview
- Simple Linear Regression with a Binary (or Nominal Categorical) Predictor
- Simple Linear Regression with a Categorical Predictor
- Simple Linear Regression with a Continuous Predictor
- Simple Linear Regression Model: Estimating the Regression Equation—Accounting for Uncertainty in the Estimates
- Measuring the Strength of a Linear Association
- Additional Examples
Readings
- Solutions to Linear Regression Practice Quiz
- Quiz 1 Solution
Quizzes
- Practice Quiz: Simple Linear Regression
- Simple Linear Regression
Videos
- Introduction
- Simple Logistic Regression: An Overview
- Simple Logistic Regression with a Binary (or Categorical) Predictor
- Simple Logistic Regression with a Continuous Predictor
- Simple Logistic Regression: Accounting for Uncertainty in the Estimates
- Estimating Risk and Functions of Risk from Logistic Regression Results
- Additional Examples
Readings
- Solutions to Practice Quiz on Simple Logistic Regression
- Quiz 2 Solutions
Quizzes
- Practice Quiz: Simple Logistic Regression
- Logistic Regression
Videos
- Introduction
- Simple Cox Regression: An Overview
- Simple Cox Regression with a Binary (or Categorical) Predictor
- Simple Cox Regression with a Continuous Predictor
- Simple Cox Regression: Accounting for Uncertainty in the Estimates
- Estimating Survival Curves from Cox Regression Results
- Additional Examples
Readings
- Solutions for Practice Quiz on Simple Cox Regression
- Solutions to Summative Quiz 3
Quizzes
- Practice Quiz: Simple Cox Proportional Hazards Regression
- Simple Cox Regression
Videos
- Introduction
- Confounding: A Formal Definition and Some Examples
- Adjusted Estimates: Presentation, Interpretation, and Utility for Assessing Confounding
- Adjusted Estimates: The General Idea Behind the Computations
- Additional Examples
- Effect modification: Introduction with an analytic example
- Effect modification: Tree damage and elevation example
- Effect modification: Examples from the literature
- Confounding versus effect modification: A review
- Additional examples
Reading
- Solutions to Summative Quiz 4
Quizzes
- Practice Quiz: Confounding and Effect Modification
- Confounding and Effect Modification
Reading
- Biostatistical Consulting Project
Quizzes
- Course Project Quiz
Instructors
Johns Hopkins Frequently Asked Questions (FAQ's)
The duration of this course is 13 hours.
The mode of this course is online.
It totally depends on your type of enrollment. You will get most of the course material free unless you want to earn a certificate.
The course follows a structured format that includes lectures, readings, assignments, and assessments.
Upon enrollment, access to the entire Specialization is granted, and upon completion of the coursework, a certificate is awarded to demonstrate proficiency in the subject.