In this lesson we take a closer look at these tests, but perhaps more importantly, their strict assumptions. The premier education and networking event for clinical research professionals, ACRP 2021 is the ideal venue for learning the practical strategies, best practices, and creative solutions needed to improve clinical … Why so many tests you might wonder? It's suitable for those new to quantitative research. Take courses from the world's best instructors and universities. Benefit from a deeply engaging learning experience with real-world projects and live, expert instruction. Clear explanation and comprehensive case study! The University of Cape Town is the oldest university in South Africa and is one of the leading research universities on the African continent. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. Coursera degrees cost much less than comparable on-campus programs. If a research question is evaluated through the collection of data points and statistical analysis reveals a value less that 0.05, we accept this a proof that some significant difference was found, at least statistically.In reality things are a bit more complicated than that. Learn Medical Statistics online with courses like Biostatistics in Public Health and Understanding Clinical Research: Behind the Statistics. ACRP 2021 resumes this May! You'll receive the same credential as students who attend class on campus. Here we’ll provide an intuitive understanding of clinical research results. Diploma in Clinical Research is a 1-year full-time course. Participants will find learning opportunities for clinical … So this isnât a comprehensive statistics course - rather it offers a practical orientation to the field of medical research and commonly used statistical analysis. The … There is hardly any healthcare professional who is unfamiliar with the p-value. If you only want to read and view the course content, you can audit the course for free. If you are accepted to the full Master's program, your MasterTrack coursework counts towards your degree. This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. First, we will look at hypotheses and how they relate to ethical and unbiased research and reporting. Â© 2021 Coursera Inc. All rights reserved. Yes, Coursera provides financial aid to learners who cannot afford the fee. The Office of Clinical Research has the responsibility for courses which provide clinical … Will take what I've learnt and apply it to my own research! : Alternative Hypothesis, How confident are you? This course trains participants on how to effectively and safely conduct clinical research.Topics covered in the course include: study design, measurement, statistics, ethical, legal, monitoring, and regulatory considerations, preparing and implementing clinical … Observing and intervening: Observational & experimental studies, Observing and describing: Case series studies, Collecting data at one point in time: Cross-sectional studies, Studying a group with common traits: Cohort studies, Working with existing research: Meta-analysis and Systematic Review, Key notes: Observational and experimental studies, Key notes: Meta-analysis and systematic review, Arbitary classification: Nominal categorical data, Natural ordering of attributes: Ordinal categorical data, Measurements and numbers: Numerical data types, How to tell the difference: Discrete and continuous variables, (Optional) Setting up spreadsheets to do your own analysis, (Optional) Descriptive statistics using spreadsheets, Key notes: Discrete and continuous variables, Test your knowledge: Measures of central tendency and dispersion, Working out the probability: Rolling dice, Area under the curve: Continuous data types, Introduction to the central limit theorem: The heart of probability theory, Asymmetry and peakedness: Skewness and Kurtosis, Approximating a bell-shaped curve: The central limit theorem, The bell-shaped curve: Normal distribution, Plotting a sample statistic: Sampling distribution, Standard normal distribution: Z distribution, Estimating population parameters: t-distribution, (Optional) Generating random data point values using spreadsheet software, Introduction to the central limit theorem, Test your knowledge: The central limit theorem, Testing assumptions: Null and alternative hypothesis, Is there a difference? 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