Statistical Concepts for Medical Writers: A Beginner’s Guide

Interpreting and Reporting Statistical Information in Clinical Trials

Are you looking for a way to take your clinical writing skills to the next level? Look no further! In this course, we will explore how to craft statistic concepts for different audiences and provide you with a hands-on approach to reporting clinical data. Statistics results can be daunting to write, especially if you’re not a statistician. There are many different types of audiences that you may encounter when writing. It is important to identify the different types of audiences and how to tailor your writing for each. The first type of audience is the general public. This type of audience is interested in the overall findings of the study and does not need a lot of technical details. When writing for this type of audience, it is important to be clear and concise. The second type of audience is professionals in the field. This type of audience is interested in the specific details of the study and wants to know all the technical details. When writing for this type of audience, it is important to be thorough and include all relevant information. The third type of audience is decision-makers. This type of audience wants to know how the findings can be used to make decisions. When writing for this type of audience, it is important to be clear about the implications of the findings and how they can be used in decision-making.

What you’ll learn

• Essential statistical concepts for understanding and interpreting medical research.
• Populations to be analysed: intent-to-treat, per-protocol, safety-evaluable, worst-case.
• Sensitivity analyses.
• Mean, median, mode, range, percentiles.
• Estimates, confidence intervals, probability, standard deviation, standard error of the mean, p-value.
• Sample size calculation.
• Practical training with a hands-on approach.

Course Content

• Your first step into the course –> 3 lectures • 3min.
• Introduction –> 8 lectures • 25min.
• Sensitivity analyses –> 2 lectures • 2min.
• Mean, median, and mode –> 1 lecture • 2min.
• Estimates and confidence intervals in a clinical data set –> 5 lectures • 10min.
• Sample size calculation –> 4 lectures • 12min.

Requirements

Are you looking for a way to take your clinical writing skills to the next level? Look no further! In this course, we will explore how to craft statistic concepts for different audiences and provide you with a hands-on approach to reporting clinical data. Statistics results can be daunting to write, especially if you’re not a statistician. There are many different types of audiences that you may encounter when writing. It is important to identify the different types of audiences and how to tailor your writing for each. The first type of audience is the general public. This type of audience is interested in the overall findings of the study and does not need a lot of technical details. When writing for this type of audience, it is important to be clear and concise. The second type of audience is professionals in the field. This type of audience is interested in the specific details of the study and wants to know all the technical details. When writing for this type of audience, it is important to be thorough and include all relevant information. The third type of audience is decision-makers. This type of audience wants to know how the findings can be used to make decisions. When writing for this type of audience, it is important to be clear about the implications of the findings and how they can be used in decision-making.

By breaking down complex data into easily digestible pieces, readers can gain a better understanding of the material. As such, this course is an invaluable tool for those who need to write effective statistical reports that can reach a wide range of readers. With this hands-on approach to writing, you can craft clear and concise clinical concepts that will have your audience captivated from start to finish.

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