Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 482.58 MB | Duration: 0h 54m
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
Homepage
Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
Links are Interchangeable - No Password - Single Extraction
