Role of Statistical Analysis
Statistics play a pivotal role in medical research by helping to transform raw data into meaningful insights, support hypothesis testing, optimize study design, assess risk and prognosis, and facilitate evidence-based decision-making. It also ensures the reliability and validity of research findings or if observed effects happened at random. This level of reliability can be especially crucial when it comes to regulatory approvals and also helps to ensure patient safety. By doing continuous statistical analysis, researchers can identify any adverse effects or trends that may call for changes in protocol or patient criteria.
Softwares
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JASPJASP is an open-source and free software program that allows users to conduct statistical analysis without having to learn programming. It offers both frequentist and Bayesian analysis methods.
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JMP Statistical DiscoveryJMP is a powerful statistical analysis software developed by SAS Institute, designed for interactive data exploration and visual analytics. While this software is pay-to-use, a student edition is available for free to qualified students, instructors, and academic researchers currently enrolled or employed at a degree granting institution.
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RR is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.
Resources
These are only a few courses that Sage Campus has to offer. To find more courses related to this topic, try typing in "Statistical Analysis" or "Data" into the search bar at Discover Courses | Sage Campus.
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Sage Campus - Unlocking Statistics: From Hypothesis to Outcome*Requires creating a personal account*
This beginner course in statistics introduces you to the principles behind the many statistical practices such as sampling, variables, and inference, and shows how these concepts fit into the research design process. It helps to build a mental map to enable you to work your way through statistical tests and procedures. -
Sage Campus - Statistical Significance*Requires creating a personal account*
Social scientists often want to know if a finding is statistically significant, discuss the p-values or put confidence intervals around results. This course explains what these terms mean, how they are calculated, and how their origin lies in the way we use samples to measure and investigate people, organizations and societies. -
Sage Campus - Gather Your Data Online*Requires creating a personal account*
We go online to communicate, participate in classes and meetings, and find sources in the library. How can we use these tools to collect data for scholarly research? This course gives an overview of types of data and ways to find and generate them online, and encourages evaluation of your own research. -
Sage Campus - Practical Data Management with R*Requires creating a personal account*
On this course you will learn how to use R to manage data in a wide variety of formats, in a reproducible manner, and at scale. -
Sage Campus - Interactive Visualization with R*Requires creating a personal account*
This course introduces you to techniques and tools for presenting data in visually attractive and interactive ways using the R programming language and RStudio. You will learn how to implement a reproducible, repeatable workflow and produce visualizations for various scenarios. At the end of the course, you will create a report that tells a story from data using appropriate interactive visualizations.
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Biostatistics Manual for Health Research, 1st ed. (2023)
ISBN: 9780443185519 -
Practical Biostatistics, 2nd ed. (2021)
ISBN: 9780323901024
