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CERTaIN

CER/PCOR Methods: Introduction

Maria E. Suarez-Almazor, MD, PhD

In this course, you will be introduced to basic statistics and study designs used in CER/PCOR and the ethical considerations to take into account when conducting CER/PCOR.

This introductorycourse includes 4 lectures:

Read more

In this course, you will be introduced to basic statistics and study designs used in CER/PCOR and the ethical considerations to take into account when conducting CER/PCOR.

This introductorycourse includes 4 lectures:

  1. Basic Statistics for PCOR/CER I
  2. Basic Statistics for PCOR/CER II
  3. Ethics
  4. Introduction to Comparative Effectiveness and Patient-Centered Outcomes Research

This course is intended for anyone interested in CER/ PCOR methods.

This course is supported by grant number R25HS023214 from the Agency for Healthcare Research and Quality.

What you'll learn

  • Describe basic statistical methods used for CER/PCOR
  • List ethical considerations for CER/PCOR
  • Define CER/PCOR and describe examples of each
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What's inside

Learning objectives

  • Describe basic statistical methods used for cer/pcor
  • List ethical considerations for cer/pcor
  • Define cer/pcor and describe examples of each

Syllabus

Basic Statistics for PCOR/CER I
Sampling methods
Stratification and controlling for bias and confounding
Study power
Read more
Sample size
Common study designs
Basic Statistics for PCOR/CER II
Types of data
Parametric and non-parametric measures
Relationship between sample size and standard deviation
Odds ratios and relative risks
P-values and confidence intervals
Ethics
Seven principles of research ethics and their application to CER/PCOR
History of ethics in research
Introduction to Comparative Effectiveness and Patient-Centered Outcomes Research
Examples of CER/PCOR
CER vs. randomized controlled trials
Patient-centered outcomes Research Institute (PCORI)

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches basic statistical methods used in Comparative Effectiveness and Patient-Centered Outcomes Research (CER/PCOR) research
Defines CER/PCOR while describing examples of each
Explores ethical considerations related to CER/PCOR research
Suitable for individuals interested in CER/PCOR methods or related fields

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Save CERTaIN: CER/PCOR Methods: Introduction to your list so you can find it easily later:
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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 CERTaIN: CER/PCOR Methods: Introduction with these activities:
Review Basic Statistics
Refresh your understanding of basic statistical concepts to strengthen your foundation for CER/PCOR.
Browse courses on Basic Statistics
Show steps
  • Review notes or textbooks on basic statistics
  • Complete online quizzes or practice exercises
Review Probability and Statistics
Help prepare for the section on Basic Statistics for PCOR/CER, particularly the portion on sampling methods.
Browse courses on Probability and Statistics
Show steps
  • Review your notes or textbook chapters on probability and statistics.
  • Complete practice problems on probability and statistics.
Attend a CER/PCOR Conference
Expand your knowledge and network with experts in the field.
Show steps
  • Identify upcoming CER/PCOR conferences
  • Attend presentations and workshops
  • Engage with researchers and practitioners
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Create an inventory of statistical methods
The process of researching and compiling a list of statistical methods will reinforce your understanding of what methods exist and when they should be used.
Browse courses on Basic Statistics
Show steps
  • Identify and categorize statistical techniques and methods
  • Write a brief description of each statistical method
  • Provide examples of when and how to apply each statistical method
Practice Statistical Analysis
Strengthen your statistical skills through hands-on exercises and simulations.
Browse courses on Statistical Analysis
Show steps
  • Utilize online platforms or textbooks for practice problems
  • Analyze real-world datasets using statistical software
  • Interpret and draw conclusions from the results
Learn about p-values and confidence intervals
Following guided tutorials can help you understand the concepts of statistical significance, p-values, and confidence intervals more deeply.
Browse courses on Statistical Significance
Show steps
  • Find an online tutorial or course on p-values and confidence intervals
  • Follow the tutorial or course instructions
  • Complete any exercises or assignments
Collaborate on CER/PCOR Projects
Enhance your learning through collaboration and exchange of ideas.
Show steps
  • Identify potential collaborators
  • Develop a research proposal or project idea
  • Conduct the research and present the findings
Explore CER/PCOR Case Studies
Deepen your understanding by exploring real-world examples of CER/PCOR studies.
Show steps
  • Identify reputable sources for CER/PCOR case studies
  • Analyze the methods, findings, and implications of each case study
  • Compare and contrast different study designs
Develop a CER/PCOR Resource List
Organize and share valuable resources to enhance your understanding and support future research.
Show steps
  • Gather online resources, articles, and studies related to CER/PCOR
  • Categorize and annotate the resources
  • Share the resource list with peers or publish it online
Design and conduct a comparative effectiveness study
Conducting a comparative study will help you in understanding how to design, execute, and analyze a comparative effectiveness research study.
Show steps
  • Identify a research question
  • Design the study, including the study population, intervention, and outcome measures
  • Conduct the study
  • Analyze the data
  • Interpret the results
Contribute to CER/PCOR Tools
Enhance your technical skills and contribute to the advancement of CER/PCOR research.
Show steps
  • Identify open-source projects related to CER/PCOR
  • Contribute code, documentation, or feature requests
  • Engage with the community of developers

Career center

Learners who complete CERTaIN: CER/PCOR Methods: Introduction will develop knowledge and skills that may be useful to these careers:
Epidemiologist
As an Epidemiologist, you will investigate the distribution and patterns of health-related events and conditions in populations. Epidemiologists use statistical methods to analyze data and identify risk factors for disease. This course will provide you with a strong foundation in the statistical methods used in CER/PCOR, which will be essential for your success in this field.
See salaries and explore the career path for Epidemiologist
Biostatistician
As a Biostatistician, you will research, develop, and apply statistical methods to solve biomedical problems. Biostatisticians are involved in all stages of research, from designing studies to collecting and analyzing data to interpreting results. This course will provide you with a strong foundation in the statistical methods used in CER/PCOR, which will be essential for your success in this field.
See salaries and explore the career path for Biostatistician
Health Economist
As a Health Economist, you will apply economic principles to health care decisions. Health economists use statistical methods to analyze data and evaluate the cost-effectiveness of different health care interventions. This course will provide you with a strong foundation in the statistical methods used in CER/PCOR, which will be essential for your success in this field.
See salaries and explore the career path for Health Economist
Health Policy Analyst
As a Health Policy Analyst, you will develop and evaluate policies that affect the health care system. Health policy analysts use statistical methods to analyze data and identify trends in health care. This course will provide you with a strong foundation in the statistical methods used in CER/PCOR, which will be essential for your success in this field.
See salaries and explore the career path for Health Policy Analyst
Medical Writer
As a Medical Writer, you will write and edit medical documents, such as research papers, clinical guidelines, and patient education materials. Medical writers use statistical methods to analyze data and communicate the results of research studies. This course will provide you with a strong foundation in the statistical methods used in CER/PCOR, which will be essential for your success in this field.
See salaries and explore the career path for Medical Writer
Clinical Research Associate
As a Clinical Research Associate, you will manage clinical trials and ensure that they are conducted safely and ethically. Clinical research associates use statistical methods to analyze data and track the progress of clinical trials. This course will provide you with a strong foundation in the statistical methods used in CER/PCOR, which will be essential for your success in this field.
See salaries and explore the career path for Clinical Research Associate
Program Manager
As a Program Manager, you will plan, implement, and evaluate programs. Program managers use statistical methods to track the progress of programs and identify areas for improvement. This course will provide you with a strong foundation in the statistical methods used in CER/PCOR, which will be essential for your success in this field.
See salaries and explore the career path for Program Manager
Quality Improvement Specialist
As a Quality Improvement Specialist, you will work to improve the quality of healthcare services. Quality improvement specialists use statistical methods to measure and track quality indicators. This course will provide you with a strong foundation in the statistical methods used in CER/PCOR, which will be essential for your success in this field.
See salaries and explore the career path for Quality Improvement Specialist
Data Analyst
As a Data Analyst, you will use statistical methods to analyze data and identify trends and patterns. Data analysts are employed in a variety of industries, including healthcare, finance, and marketing. This course will provide you with a strong foundation in the statistical methods used in CER/PCOR, which will be essential for your success in this field.
See salaries and explore the career path for Data Analyst
Research Scientist
As a Research Scientist, you will conduct research to advance scientific knowledge. Research scientists use statistical methods to analyze data and draw conclusions from their research. This course will provide you with a strong foundation in the statistical methods used in CER/PCOR, which will be essential for your success in this field.
See salaries and explore the career path for Research Scientist
Public Health Administrator
As a Public Health Administrator, you will develop and implement programs that protect and improve the health of populations. Public health administrators use statistical methods to analyze data and identify health risks. This course will provide you with a strong foundation in the statistical methods used in CER/PCOR, which will be essential for your success in this field.
See salaries and explore the career path for Public Health Administrator
Consultant
As a Consultant, you will provide advice and guidance to organizations on a variety of topics. Consultants use statistical methods to analyze data and identify trends and patterns. This course will provide you with a strong foundation in the statistical methods used in CER/PCOR, which will be essential for your success in this field.
See salaries and explore the career path for Consultant
Manager
As a Manager, you will lead and motivate teams of employees. Managers use statistical methods to track the progress of their teams and identify areas for improvement. This course may provide you with some useful skills for success in this field, such as basic statistical methods and study design.
See salaries and explore the career path for Manager
Teacher
As a Teacher, you will educate students in a variety of subjects. Teachers use statistical methods to track the progress of their students and identify areas for improvement. This course may provide you with some useful skills for success in this field, such as basic statistical methods and study design.
See salaries and explore the career path for Teacher
Writer
As a Writer, you will create written content for a variety of purposes. Writers use statistical methods to analyze data and communicate the results of their research. This course may provide you with some useful skills for success in this field, such as basic statistical methods and study design.
See salaries and explore the career path for Writer

Reading list

We've selected six 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 CERTaIN: CER/PCOR Methods: Introduction.
Cover image
The Craft of Research, Fifth Edition
Save
Is considered the gold standard among works on academic writing. While it may not provide the immediately applicable information or insights as the other books on this list, it remains an evergreen text in the value it provides for teaching writing in any academic discipline.
The Craft of Research, Fifth Edition (Chicago...
Paperback
$$
The Craft of Research, Fifth Edition (Chicago...
Kindle Edition
$$
Cover image
Principles of Animal Research Ethics
Save
Classic in the field of research ethics. It provides a comprehensive overview of the ethical principles that govern research involving human subjects, and it offers guidance on how to apply these principles to specific research studies.
Principles of Animal Research Ethics
Hardcover
$$
Principles of Animal Research Ethics
Kindle Edition
$$
Longitudinal Data Analysis
Save
Comprehensive textbook on the analysis of longitudinal data. It covers a wide range of topics, including growth curve models, mixed effects models, and survival analysis.
Longitudinal Data Analysis
Hardcover
$$$$
Cover image
Data Analysis for Scientists and Engineers
Save
Has influenced more than a generation of statisticians and health researchers by providing a comprehensive overview of Bayesian statistics. While Bayesian approaches to causal inference are becoming more popular, the course itself does not go into this territory. This book convenient way for students to familiarize themselves with this topic should they choose to pursue it individually.
Data Analysis for Scientists and Engineers
Hardcover
$$$
Data Analysis for Scientists and Engineers
Kindle Edition
$$$
Cover image
Causal Inference
Save
Highly-regarded book on causal inference. While it may be more advanced than what is needed for this course, it remains the gold standard for a broad overview on the topic.
Causal Inference
Paperback
Check
Causal Inference
Kindle Edition
Check
Cover image
American Energy
Save
Practical guide to developing health policy. It covers a wide range of topics, including the policy-making process, stakeholder engagement, and economic analysis.
American Energy
Paperback
Check
American Energy
Kindle Edition
Check

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Course image
Effort
1 to 2 hours per week for 3 weeks
Level
Elementary
Via
edX
Institution
The University of Texas MD Anderson Cancer Center in Houston
Instructor
Maria E. Suarez-Almazor, MD, PhD
Language
English
Transcript
English
This course belongs to a collection called Comparative Effectiveness Research Training and Instruction (CERTaIN). It's comprised of five courses:
  1. CERTaIN: CER/PCOR Methods: Introduction (viewing)
  2. CERTaIN: Knowledge Synthesis: Systematic Reviews and Clinical Decision Making
  3. CERTaIN: Observational Studies and Registries
  4. CERTaIN: Patient-Centered Outcomes Research
  5. CERTaIN: Pragmatic Clinical Trials and Healthcare Delivery Evaluations
Good to know
Teaches basic statistical methods used in Comparative Effectiveness and Patient-Centered Outcomes Research (CER/PCOR) research
Defines CER/PCOR while describing examples of each
Explores ethical considerations related to CER/PCOR research
Suitable for individuals interested in CER/PCOR methods or related fields
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