Statistical Concepts For Medical Writers: A Beginner'S Guide

Interpreting and Reporting Statistical Information in Clinical Trials

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

Requirements

STEM Degree or Medical Student Level

Minimal understanding of basic statistics

No calculations are required

Willingness to improve medical writing skills

Description

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.

Overview

Section 1: Your first step into the course

Lecture 1 Introduction

Lecture 2 I introduce myself

Lecture 3 Disclaimer

Section 2: Introduction

Lecture 4 Populations to be analysed

Lecture 5 Responder Rates and Q&A

Lecture 6 Writing an essay

Lecture 7 Solution to the exercise

Lecture 8 Reporting statistical data to a physician

Lecture 9 Writing for the general public

Lecture 10 Your first lesson

Lecture 11 Conclusion

Section 3: Sensitivity analyses

Lecture 12 The meaning of sensitivity analyses

Lecture 13 A tutorial on sensitivity analyses in clinical trials

Section 4: Mean, median, and mode

Lecture 14 Mean, median, and mode

Section 5: Estimates and confidence intervals in a clinical data set

Lecture 15 Estimates and confidence intervals: an overview

Lecture 16 Confidence intervals and p-value meaning

Lecture 17 Confidence intervals and p-value: solution to the exercise

Lecture 18 Guidelines for statistical reporting in medical journals

Lecture 19 Misinterpretations of statistical tests, p-values, confidence interval, power

Section 6: Sample size calculation

Lecture 20 Sample size calculation: an overview

Lecture 21 Statistical significance versus clinical significance

Lecture 22 Slide deck

Lecture 23 Conclusion

Beginner Medical Writers,Health journalist,Medical students who need to communicate clearly and openly statistical concepts in the field of medicine