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John McGready, PhD, MS
Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature. In this course, we'll focus on the use of statistical measurement methods within the world of public health research. Along the way, you'll be introduced to a variety of methods and measures, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include summary measures, visual displays, continuous data, sample size, the normal distribution, binary data, the element of time, and the Kaplan-Meir curve.
Register for this course and see more details by visiting:
OpenCourser.com/course/iubopr/summary
What's inside
Syllabus
The Role of Statistics in Public Health Research
Within this learning module, you will learn how statistics are used within public heath research. Topics covered include study design types, data types, and data summarization. You will complete a practice quiz before completing a graded quiz.
Read more
Syllabus
The Role of Statistics in Public Health Research
Within this learning module, you will learn how statistics are used within public heath research. Topics covered include study design types, data types, and data summarization. You will complete a practice quiz before completing a graded quiz.
Read more
Continuous Data Measures
Module two involves several lectures, a practice quiz and a graded quiz. Topics include summary statistics, visual displays, role of sample size, and continuous data.
The Normal Distribution
The focus of this module is on normal distribution. Topics covered include defining the standard normal distribution, and application of principles of normal distribution to sample data. There is a practice quiz where you can test your knowledge before completing the graded quiz.
Binary Data
Module four covers binary data and its significance. In addition to lectures, you will complete a practice quiz and a graded quiz.
Dealing with the Element of Time
In module five, you will explore how time is defined and studied in relation to data and learn about the Kaplan-Meir curve. In addition to a practice quiz, you will complete a 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 asthma medication and the other about self-administration of injectable contraception. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by John McGready, PhD, MS, a recognized expert in biostatistics
Designed for individuals in public health research seeking to strengthen their statistical reasoning skills
Covers a comprehensive range of biostatistical methods commonly used in public health research
Involves hands-on exercises and real-world data analysis, providing practical experience
Provides a solid foundation for understanding and interpreting statistical data in public health research
Course format and assessments include lectures, practice quizzes, graded quizzes, and a project, offering a variety of learning experiences
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Reviews summary
Stats in public health
Learners say this course is largely positive, offering engaging assignments. Broken down into 10 modules, “Summary Statistics in Public Health” delves into topics surrounding central tendencies, graphical representations of data, probability distributions, and more. Students praise instructor Dr. John McGready, citing his engaging teaching style and ability to simplify complex concepts. Though a few reviews note minor improvement points, such as occasional audio issues and typos in the material, the overall consensus is that this course is an excellent resource for those seeking a solid foundation in public health statistics.
This is a good and enticing introduction for the rest of the Coursera Specialization where it belongs. For added value, consider taking this course with a biostatistics textbook for better retention.
"Very clear and fluidic course, definitely worthy and made summary statistics a lot easier."
"I really enjoyed doing the mathematical problems. It was helpful in doing graphical and mathematical interpretations practice. I also got experience in handling various public health data.Thank youuu.."
"I am glad to learn a lot of terms in statistics and how to use and interpret them in the context of Public Health researches. The Instructor provided enough examples to understand the lessons better. "
The course has strengthen my understanding on the basics of statistics. I also wish they will include the training on the use of statistical software for analysis. Thank you team cousera
"Great course for beginners who wants to understand statistical approach to medicine"
"What I like about the course is that it gives you a lot of examples that help you to apply what you have learned during the course."
Dr. McGready's explanations and visual examples made all the difference in my understanding of these concepts!
"Explanation is easy to understand RR, OR, IR and basic survival analysis.Real-world examples! Highly recommend!"
"The concepts were explained very clearly. Thank you very much for your generosity in sharing this course."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Summary Statistics in Public Health with these
activities:
Organize and Review Course Materials
Show steps
Enhance your learning experience by organizing and reviewing course notes, assignments, and readings.
Show steps
-
Gather and organize all course-related materials, including notes, slides, assignments, and readings.
-
Review the materials regularly to reinforce your understanding and identify areas for further clarification.
Read Biostatistics: A Foundation for Analysis in Health Science
Show steps
Enhance your foundational understanding of biostatistics and prepare for the upcoming course materials.
View
Biostatistics: A Foundation for Analysis in the...
on Amazon
Show steps
-
Obtain a copy of the book and gather necessary materials.
-
Read and understand the key concepts and definitions.
-
Complete the practice problems and exercises to test your understanding.
Statistical Calculations Practice
Show steps
Sharpen your statistical calculation skills to support your coursework and improve your confidence in handling data.
Show steps
-
Identify online platforms or textbooks that provide statistical calculation practice problems.
-
Solve a variety of problems covering mean, median, standard deviation, and other statistical measures.
-
Check your answers and identify areas for improvement.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Join a Biostatistics Study Group
Show steps
Collaborate with peers to enhance your understanding and reinforce course concepts.
Show steps
-
Reach out to classmates or join online forums to form a study group.
-
Meet regularly to discuss course materials, solve problems, and quiz each other.
Seek Mentorship from a Biostatistician
Show steps
Gain valuable guidance and insights by connecting with a professional biostatistician.
Show steps
-
Identify and reach out to potential mentors in academia, research institutions, or the industry.
-
Schedule regular meetings to discuss your progress, seek advice, and receive feedback.
Attend a Biostatistics Workshop
Show steps
Deepen your knowledge and gain practical insights from experts by attending a biostatistics workshop.
Show steps
-
Research and identify relevant biostatistics workshops in your area or online.
-
Register for the workshop and make necessary arrangements.
-
Attend the workshop and actively participate in discussions and exercises.
Develop a Statistical Analysis Plan
Show steps
Apply your knowledge by creating a comprehensive statistical analysis plan for a research project, demonstrating your ability to design and execute statistical analyses.
Show steps
-
Identify a research question or problem that requires statistical analysis.
-
Define the objectives of the statistical analysis and determine the appropriate statistical methods.
-
Collect and prepare the data for analysis, ensuring data quality and integrity.
-
Conduct the statistical analysis using appropriate software or tools.
-
Interpret the results and draw meaningful conclusions.
Volunteer at a Health Research Organization
Show steps
Gain hands-on experience in biostatistics by volunteering at a health research organization.
Show steps
-
Identify health research organizations in your area and explore volunteer opportunities.
-
Apply for a volunteer position that aligns with your interests and skills.
-
Assist with data collection, analysis, or other biostatistics-related tasks under the guidance of experienced professionals.
Participate in a Biostatistics Competition
Show steps
Challenge yourself and showcase your biostatistics skills by participating in a competition.
Show steps
-
Research and identify biostatistics competitions relevant to your level of expertise.
-
Form a team or work individually to prepare for the competition.
-
Apply and participate in the competition, demonstrating your problem-solving and analytical abilities.
Organize and Review Course Materials
Show steps
Enhance your learning experience by organizing and reviewing course notes, assignments, and readings.
Show steps
Show steps
Show steps
- Gather and organize all course-related materials, including notes, slides, assignments, and readings.
- Review the materials regularly to reinforce your understanding and identify areas for further clarification.
Read Biostatistics: A Foundation for Analysis in Health Science
Show steps
Enhance your foundational understanding of biostatistics and prepare for the upcoming course materials.
View
Biostatistics: A Foundation for Analysis in the...
on Amazon
Show steps
Show steps
Show steps
- Obtain a copy of the book and gather necessary materials.
- Read and understand the key concepts and definitions.
- Complete the practice problems and exercises to test your understanding.
Statistical Calculations Practice
Show steps
Sharpen your statistical calculation skills to support your coursework and improve your confidence in handling data.
Show steps
Show steps
Show steps
- Identify online platforms or textbooks that provide statistical calculation practice problems.
- Solve a variety of problems covering mean, median, standard deviation, and other statistical measures.
- Check your answers and identify areas for improvement.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Join a Biostatistics Study Group
Show steps
Collaborate with peers to enhance your understanding and reinforce course concepts.
Show steps
Show steps
Show steps
- Reach out to classmates or join online forums to form a study group.
- Meet regularly to discuss course materials, solve problems, and quiz each other.
Seek Mentorship from a Biostatistician
Show steps
Gain valuable guidance and insights by connecting with a professional biostatistician.
Show steps
Show steps
Show steps
- Identify and reach out to potential mentors in academia, research institutions, or the industry.
- Schedule regular meetings to discuss your progress, seek advice, and receive feedback.
Attend a Biostatistics Workshop
Show steps
Deepen your knowledge and gain practical insights from experts by attending a biostatistics workshop.
Show steps
Show steps
Show steps
- Research and identify relevant biostatistics workshops in your area or online.
- Register for the workshop and make necessary arrangements.
- Attend the workshop and actively participate in discussions and exercises.
Develop a Statistical Analysis Plan
Show steps
Apply your knowledge by creating a comprehensive statistical analysis plan for a research project, demonstrating your ability to design and execute statistical analyses.
Show steps
Show steps
Show steps
- Identify a research question or problem that requires statistical analysis.
- Define the objectives of the statistical analysis and determine the appropriate statistical methods.
- Collect and prepare the data for analysis, ensuring data quality and integrity.
- Conduct the statistical analysis using appropriate software or tools.
- Interpret the results and draw meaningful conclusions.
Volunteer at a Health Research Organization
Show steps
Gain hands-on experience in biostatistics by volunteering at a health research organization.
Show steps
Show steps
Show steps
- Identify health research organizations in your area and explore volunteer opportunities.
- Apply for a volunteer position that aligns with your interests and skills.
- Assist with data collection, analysis, or other biostatistics-related tasks under the guidance of experienced professionals.
Participate in a Biostatistics Competition
Show steps
Challenge yourself and showcase your biostatistics skills by participating in a competition.
Show steps
Show steps
Show steps
- Research and identify biostatistics competitions relevant to your level of expertise.
- Form a team or work individually to prepare for the competition.
- Apply and participate in the competition, demonstrating your problem-solving and analytical abilities.
Career center
Learners who complete Summary Statistics in Public Health will develop knowledge and skills
that may be useful to these careers:
Biostatistician
Biostatistician
Biostatisticians gather, analyze, and interpret large amounts of biological data. The field of public health plays a major role in the work of these professionals. Success as a Biostatistician requires understanding statistical measurement methods. The course Summary Statistics in Public Health will build a foundation for your career in Biostatistics by providing you with insights into this area of statistical reasoning within the public health field.
Epidemiologist
Epidemiologist
Epidemiology is all about studying patterns of health and illness in populations. Courses in statistics, like Summary Statistics in Public Health, are essential to careers in this field. Epidemiologists use statistical methods to analyze and interpret data, and this course will provide you with the necessary skills to excel in this role.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, analyzing, and interpreting data, which is used to make informed decisions. Statistical methods, like those learned in Summary Statistics in Public Health, are a core skill in the field of Data Analytics. This course will help you develop these skills and prepare you to succeed in this role.
Public Health Researcher
Public Health Researcher
Public Health Researchers investigate various health issues that impact communities and populations. Statistical knowledge is essential for this field to effectively analyze and interpret data, making Summary Statistics in Public Health a valuable course for those pursuing a career in this area. The course provides a solid foundation in statistical measurement methods, which are crucial for conducting research in the public health field.
Healthcare Consultant
Healthcare Consultant
Healthcare Consultants provide guidance and expertise in healthcare-related matters. Understanding statistical methods in public health is beneficial for success in this role. Summary Statistics in Public Health offers a valuable opportunity to develop these skills and gain insights into statistics within healthcare, which can enhance your impact as a Healthcare Consultant.
Medical Writer
Medical Writer
Medical Writers specialize in creating scientific and medical content. Statistical knowledge is increasingly becoming important in this field. The course Summary Statistics in Public Health can help you build a foundation in statistical measurement methods, which are necessary for accurately interpreting and conveying medical information in your writing.
Health Educator
Health Educator
Health Educators aim to improve health outcomes by promoting healthy behaviors and lifestyles. Statistical methods are often used in this field to evaluate the effectiveness of health education programs. The course Summary Statistics in Public Health provides essential skills and knowledge in this area. By taking this course, you will be well-equipped to design and evaluate health education interventions effectively.
Clinical Research Coordinator
Clinical Research Coordinator
Clinical Research Coordinators play a crucial role in the field of clinical research. Statistical methods are often utilized in this role, making the Summary Statistics in Public Health course a beneficial choice. This course will equip you with the knowledge and skills to understand and apply statistical methods in clinical research, enhancing your ability to manage and conduct clinical trials.
Health Policy Analyst
Health Policy Analyst
Health Policy Analysts focus on analyzing and evaluating health policies. Statistical methods are essential for this field to conduct research and make evidence-based recommendations. Summary Statistics in Public Health provides a strong foundation in statistical methods, enabling you to understand and interpret health data effectively. This course will empower you to contribute significantly to health policy development and analysis.
Public Health Administrator
Public Health Administrator
Public Health Administrators oversee and manage public health programs and services. Statistical methods play a crucial role in this field. Summary Statistics in Public Health will provide you with a solid foundation in statistical measurement methods, which are essential for analyzing data, evaluating programs, and making informed decisions in public health administration.
Health Data Analyst
Health Data Analyst
Health Data Analysts are responsible for collecting, managing, and analyzing health-related data. Statistical methods are necessary for this role. Summary Statistics in Public Health provides a comprehensive overview of statistical measurement methods used in the field of health data analysis. This course will equip you with the skills to effectively analyze and interpret health data for improving patient outcomes.
Disease Surveillance Specialist
Disease Surveillance Specialist
Disease Surveillance Specialists monitor and investigate disease outbreaks. Statistical methods are critical in this field to analyze and interpret data. The course Summary Statistics in Public Health provides a solid foundation in statistical measurement methods. By taking this course, you will gain the skills necessary to excel as a Disease Surveillance Specialist.
Environmental Health Scientist
Environmental Health Scientist
Environmental Health Scientists investigate the impact of environmental factors on public health. Statistical methods are increasingly used in this field. The course Summary Statistics in Public Health offers valuable insights into statistical measurement methods, which can enhance your ability to analyze environmental data and understand the relationship between environmental factors and health outcomes.
Health Economist
Health Economist
Health Economists analyze the cost and value of healthcare services. Statistical methods are commonly used in this field. By taking the course Summary Statistics in Public Health, you will gain a foundation in statistical measurement methods and their application in healthcare economics. This knowledge will enable you to evaluate the efficiency and effectiveness of healthcare interventions, contribute to healthcare policy, and improve the overall health of populations.
Healthcare Statistician
Healthcare Statistician
Healthcare Statisticians apply statistical methods to address healthcare-related questions. Summary Statistics in Public Health provides a foundational understanding of statistical measurement methods commonly used in healthcare. This course will help you develop the skills necessary to collect, analyze, and interpret health data. With this knowledge, you can contribute to improving patient care and health outcomes in various healthcare settings.
For more career information including salaries, visit:
OpenCourser.com/course/iubopr/summary
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Summary Statistics in Public Health .
Save
This classic textbook on epidemiology provides a thorough grounding in the principles and methods of this essential public health discipline, making it an excellent supplementary resource for this course.
Provides a comprehensive introduction to biostatistics, covering a wide range of topics from basic concepts to advanced statistical methods. It is an excellent resource for students and researchers in public health who want to gain a strong foundation in biostatistical methods.
This concise and accessible textbook covers the statistical principles and techniques commonly used in public health research, complementing the course's focus on summary statistics and data analysis.
Save
Provides a practical guide to statistical methods for public health practitioners. It covers a wide range of topics, from basic concepts to more advanced methods, and includes many examples and exercises to help readers understand and apply the material.
This comprehensive book covers a wide range of quantitative methods used in health research, including statistical analysis, data management, and research design, offering a more in-depth exploration of these topics.
Provides a comprehensive and accessible overview of statistical methods specifically used in the health sciences, covering topics relevant to the course's focus on data analysis and interpretation.
Save
This comprehensive guide to epidemiology provides a practical and hands-on approach to understanding and applying epidemiological principles, enhancing the course's focus on data analysis and interpretation.
Provides a gentle introduction to statistics for students in the health and biomedical sciences. It covers a wide range of topics, from basic concepts to more advanced methods, and includes many examples and exercises to help readers understand and apply the material.
This practical guide to health research methods provides valuable insights into the design, implementation, and analysis of health研究, complementing the course's focus on research methodologies and data analysis techniques.
This textbook provides a foundational introduction to biostatistics, covering the basic concepts and methods used in the field. It serves as a useful prerequisite or background reading for the course's more advanced topics.
Provides a self-paced introduction to survival analysis, which specialized statistical method used to analyze data on time-to-event outcomes. It offers additional depth and breadth to the course's coverage of statistical techniques.
Save
This concise and accessible introduction to epidemiology provides a broader context for the course's focus on data analysis and interpretation within public health research.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/iubopr/summary
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Effort
4 weeks of study, 3-4 hours/week
Level
Introductory
Via
Coursera
Institution
Johns Hopkins University
Instructor
John McGready, PhD, MS
Language
English
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This course belongs to a
collection
called
Biostatistics in Public Health . It's comprised of four courses:
- Hypothesis Testing in Public Health
- Multiple Regression Analysis in Public Health
- Summary Statistics in Public Health (viewing)
- Simple Regression Analysis in Public Health
Good to know
Taught by John McGready, PhD, MS, a recognized expert in biostatistics
Designed for individuals in public health research seeking to strengthen their statistical reasoning skills
Covers a comprehensive range of biostatistical methods commonly used in public health research
Involves hands-on exercises and real-world data analysis, providing practical experience
Provides a solid foundation for understanding and interpreting statistical data in public health research
Course format and assessments include lectures, practice quizzes, graded quizzes, and a project, offering a variety of learning experiences
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