Biostatistics

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Program/Course ID: BIOST Enrollment Period: 12 months. Average Learning Time: ~. Additional Resources: Supplemental materials & activities. Credit Hours: 3 credits. Method of Training: Online, asynchronous, self-paced eLearning. Accessibility: 24/7 access to all program materials. Demonstration: Four (4) free trial courses are available. Group/Employee Training: Click here to request a quote or invoice. Final Assessment: Multiple choice; unlimited attempts. Certificate: Encrypted PDF with QR validation code.

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Wednesday, May 20, 2026 UPDATE:
This program is currently unavailable for enrollment.
It may have been updated or discontinued.
Check for newer version in our catalog.

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Outline: INTRODUCTION 1. Course Information 2. Interface Tour 3. Course Overview THE RESEARCH QUESTION 4. Objectives 5. Pre-test 6. The Empirical Cycle 7. Exploratory vs. Confirmatory Studies 8. The Research Hypothesis 9. Target Population vs. Study Population 10. Progress Check STUDY DESIGN 11. Objectives 12. Pre-test 13. Casual Inference 14. Bias and Confounding 15. Cross-sectional studies 16. Case-control studies 17. Cohort studies 18. Randomized clinical trials 19. Meta-analysis 20. Progress Check TYPES OF MEASUREMENTS 21. Objectives 22. Pre-test 23. Variation 24. Continuous 25. Categorical 26. Time-to-event 27. Diagnostic Testing 28. Progress Check STATISTICAL INFERENCE 29. Objectives 30. Pre-test 31. Hypothesis Testing 32. Power and Sample Size 33. Confidence Intervals 34. Multiple Comparisons 35. Progress Check STATISTICAL ANALYSES I 36. Objectives 37. Pre-test 38. Intention to treat Analysis 39. Predictors and Outcomes STATISTICAL ANALYSES II 40. Analysis for Continuous Outcome 41. Analysis for Categorical Outcome 42. Analysis for Time-to-event Outcome 43. Progress Check CONCLUSION 44. Summary		Objectives: Describe the empirical cycle. Differentiate between hypothesis-generating and hypothesis-testing studies. Formulate a research hypothesis. Identify the research hypothesis in a given study. Identify the predictor and outcome in a given study. Define target population, study population, and study sample. Describe the different types of studies used in medical research. Recognize the advantages and limitations of the different study designs. Identify sources of bias in different study designs. Describe the relative strength of each type of study design in establishing causality. Describe sources of variation in medical data. Differentiate between continuous and categorical data. Define time-to-event data. Define mean and standard deviation. Identify how data were measured in real studies. Describe how diagnostic tests are evaluated. Define and calculate sensitivity, specificity, negative predictive value, and positive predictive value. Describe sampling variation. Formulate a null hypothesis. Interpret a p-value. Define type I and type II errors. Differentiate between statistical and clinical significance. Understand statistical power. Interpret a confidence interval. Describe the problem of multiple comparisons. Describe the intention-to-treat principle. Explain last observation carried forward. Calculate odds ratios and risk ratios. Interpret odds ratios, risk ratios, and hazard ratios. Understand the results of simple statistical tests. Recognize the names of more advanced statistical tests. Identify the appropriate statistical test for a given study design and type of data. Understand common pitfalls in medical statistics.

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Benefits of Training with Biopharma Institute

Immediate Course Access:	Login details, instructions, and payment confirmation are emailed immediately upon online enrollment.
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Comments: For quotes or invoices please provide the titles of the course(s) and number of students.	Biostatistics