Multiple Regression Analysis in Public Health

Johns Hopkins University via Coursera

Go to Course: https://www.coursera.org/learn/multiple-regression-analysis-public-health

Introduction

### Course Review: Multiple Regression Analysis in Public Health If you're looking to deepen your understanding of biostatistics and its applications within public health, the "Multiple Regression Analysis in Public Health" course on Coursera is an excellent choice. This course provides a thorough introduction to the methodology of multiple regression, an essential tool for analyzing complex data in public health research. #### Overview of the Course Biostatistics serves as the backbone for evidence-based public health practices, and this course positions itself as a crucial stepping stone for students or professionals eager to unlock insights from various health-related datasets. The curriculum is designed to enhance your statistical reasoning while extending your competence from simple regression to multiple variables—a vital skill for any data scientist or public health researcher. #### Course Syllabus Breakdown The course structure consists of three key modules, each focusing on a different aspect of regression analysis: 1. **An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression**: - This introductory module lays the foundation of multiple regression analysis, featuring numerous real-world examples and applications. The inclusion of practice quizzes allows learners to gauge their understanding before progressing to graded assessments. 2. **Multiple Logistic Regression**: - The second module delves into multiple logistic regression, a technique crucial for modeling binary outcomes. Here, participants will engage with model estimates and discuss effect modification through both video lectures and interactive quizzes meant to reinforce learning. 3. **Multiple Cox Regression**: - The final module focuses on survival analysis through multiple Cox regression. This section reveals the “Linearity” assumption, further enriching your analytical skills. The module also encourages active learning through practice quizzes and an intensive project that simulates a real-world consulting scenario. #### Course Project Perhaps the most exciting aspect of this course is the project where you step into the role of a biostatistical consultant. You will work with two distinct studies: one focusing on the self-administration of injectable contraception and the other on medical appointment scheduling in Brazil. This real-world application allows you to synthesize your knowledge by interpreting published results and collaborating with research teams to plan their studies effectively. This practical assignment not only enhances your analytical skills but also prepares you for actual challenges in the field. #### Recommendations The "Multiple Regression Analysis in Public Health" course comes highly recommended for several reasons: - **Targeted Audience**: Whether you're a student, healthcare professional, or data enthusiast, this course is tailored to equip you with the statistical tools required to analyze public health issues quantitatively. - **Hands-On Learning**: The combination of lectures, quizzes, and projects provides a conducive learning environment that encourages practical application, which is often lacking in traditional education formats. - **Expert Instruction**: With a team of experienced instructors, you will benefit from their insights and guidance, further enriching your learning experience. - **Real-World Relevance**: The course effectively bridges theoretical concepts with practical applications, preparing you to face real challenges in public health research and data analysis. In conclusion, if you are seeking to enhance your biostatistical knowledge and improve your analytical skills in the public health domain, look no further than the "Multiple Regression Analysis in Public Health" course on Coursera. It promises not just to teach you the mechanics of regression analysis but to equip you with the tools necessary to make data-driven decisions that could potentially improve public health outcomes. Enroll today, and take the next step toward becoming a competent biostatistical consultant!

Syllabus

An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression

Within this module, an overview of multiple regression will be provided. Additionally, examples and applications will be examined. A practice quiz is provided to test your knowledge before completing the graded quiz.

Multiple Logistic Regression

Module two covers examples of multiple logistic regression, basics of model estimates, and a discussion of effect modification. In addition to lectures, you will also be completing a practice quiz and graded quiz.

Multiple Cox Regression

The last module for this class focuses on multiple Cox regression, the “Linearity” assumption, examples, and applications. You will complete a practice quiz, graded quiz, and project.

Course Project

During this module, you get the chance to demonstrate what you've learned by putting yourself in the shoes of biostatistical consultant on two different studies, one about self-administration of injectable contraception and one about medical appointment scheduling in Brazil. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies. If you've already taken other courses in this specialization, then this scenario will be familiar.

Overview

Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, you'll extend simple regression to the prediction of a single outcome of interest on the basis of multiple variables. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from publish

Skills

effect modifcation Proportional Hazards Model Regression Analysis Spline approach

Reviews

Great instructor, really informative and engaging.

one of the finest courses on biostatistics, in order to get refreshed with the core concepts and applications!

Very helpful in your explanations verbally and visually. It really helped me understand how to read and understand the cox regression model.

The course simplifies important concepts in understanding biostatistics using detailed and explanations and examples

Professor McGready is a passionate instructor who makes BioStats interesting and concrete through his real-world experiences and exercises. Another excellent class from Dr. John.