Statistics in Clinical Trials
A comprehensive, self-paced introduction to biostatistics for clinical trials, from study design through advanced analysis methods.
You will cover:
- Study design, planning, and data collection
- Descriptive statistics and hypothesis testing
- T-tests, ANOVA, chi-square, and regression methods
- Logistic regression and survival analysis
- Repeated measures, non-parametric methods, and multiplicity
- Equivalence trials, Bayesian methods, and meta-analysis
- Reporting clinical trial results
Includes a certification exam covering all 20 lessons.
Course Details
- Total duration: 6 hours 21 minutes of video content
- Structure: 20 video lessons plus a final certification exam
- Level required: Advanced — this course assumes some familiarity with clinical trial design and basic statistics
- Language & subtitles: English, with English subtitles available on every lesson
- Materials format: On-demand, theory-focused video lessons streamed directly on the platform, watchable on any device, with lifetime access and a certification exam covering all 20 lessons
Full Course Index
- Introduction to Clinical Trials and Statistics (Free Preview)
- Study Design and Planning
- Data Collection and Management
- Descriptive Statistics in Clinical Trials
- Hypothesis Testing Fundamentals
- T-tests and ANOVA
- Chi-square and Fisher's Exact Tests
- Correlation and Simple Linear Regression
- Multiple Regression and ANCOVA
- Logistic Regression
- Survival Analysis I
- Survival Analysis II
- Repeated Measures and Longitudinal Data Analysis
- Non-parametric Methods
- Multiplicity and Interim Analyses
- Equivalence and Non-inferiority Trials
- Bayesian Methods in Clinical Trials
- Meta-analysis and Systematic Reviews
- Reporting Clinical Trial Results
- Advanced Topics and Current Trends
- Certification Exam
▶ Watch a free sample lesson: "Introduction to Clinical Trials and Statistics"
Inside the Platform
Course Reviews
"As a medical writer currently working at a Medical Device company, I found this course really interesting and well-organized. It's very theoretical, yes, but it handles information so easily that you don't feel overwhelmed. Whether you need a refresher in biostatistics or you're totally new to the field, this course will provide you with key concepts that can help you while working on clinical study protocols and reports. A nice pool of information to have at hand! Thank you!"
"Great course! it doesnt have any actual applications (like on spss or R). it's more of a theoretical course."
"I began with this lecture, as it provides a comprehensive and meaningful overview of the topic SYSTEMATIC REVIEW AND META ANALYSIS"
"GOOD"
"best explanation of Hypothesis testing i ever came across."
"very intresting course!"
"The course is excellent for understanding statistical aspects of Clinical Trials from basics."
"Instrutivo e bem explicado. Sem correria!" (Portuguese: "Instructive and well explained. No rush!")
"Good but practical components not included"
"Two lessons in. This is satisfying so far for the overview my job requires."
How This Course Compares
Vs. Udemy: the same instructor-led content, now hosted directly on our own platform with full lifetime access and direct support from the course author rather than a generic marketplace Q&A.
Vs. Coursera: no weekly deadlines, no bundled subscription — a focused, self-paced course built specifically around clinical trial statistics, not a general statistics or data-science specialization.
Vs. free content: a structured, 20-lesson curriculum with a certification exam, instead of scattered tutorials with no assessment.
Honest note from student feedback: this course is theory-focused and does not include hands-on software exercises in SPSS, R, or SAS — it is designed to build conceptual understanding of the statistical methods used in clinical trials, not software proficiency.
Who This Course Is For
- Medical writers, clinical researchers, and CRAs who need to understand the statistics behind study protocols and reports
- Professionals who want a refresher in biostatistics or a first structured introduction to the field
- Regulatory and clinical operations staff who need to interpret statistical results in trial documentation
Who This Course Is Not For
- Learners looking for hands-on statistical software training in SPSS, R, or SAS (this course is conceptual and theory-based)
- Complete beginners with no exposure to clinical trials — this course is Advanced level and moves quickly through concepts