What you’ll learn
- Fundamentals of Clinical Statistics
- Hazard Ratio, Sensitivity, Specificity, Life Tables
- Hypothesis Testing, Sampling, Population, Confidence interval
- Central Limit Theorem, Probability, Distribution
- ANOVA, Regression, Correlation, Hierarchical Regression
- Distributions: Normal, Poission, Chi-square, t-distribution
- Errors in hypothesis testing: Type-1 error, Type-2 error
This course includes:
- 2.5 hours on-demand video
- 50 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
You’re in the right place if you’ve ever skimmed through the medical research results section because words like “confidence interval” or “p-value” confuse you. You may be a doctor reading scientific publications to keep up with advances in your field, or a medical student unsure how to do your own research. Both professionals and those conducting their own research can benefit from greater confidence in their understanding of statistical analysis and results.
The design, conduct, analysis, and reporting of clinical trials rely heavily on statistics to minimize and manage bias, confounding variables, and random measurement error. Mastery of statistical techniques is essential for understanding randomized trial procedures and results. We have covered many important clinical statistical tests such as sensitivity, specificity, life tables, hypotheses, probabilities, hazard ratios, data types, distribution and types, as well as many other basic statistical tests.
This course is a good place to start if you want to learn more about clinical statistics, including using SPSS, interpreting results, and interpreting. Without going into complex calculations, it provides a simple introduction to interpreting popular statistical ideas. The best way to enter the world of clinical literature is to be able to interpret and understand these ideas. This course fills that need, so let’s get started!
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