What a medical adviser needs to know from statistics in order to be fluent in scientific and medical information.
Basic concepts: risks, hazard ratio and odds ratio, differences. Random variables, NNT, NNH, and descriptive statistics. Interpretation of p, interpretation of confidence interval, quartiles and percentiles. Meta-analysis, interpretation principles.

Experiential graphic design is the application of communication skills to the built environment.

Hierarchy of scientific and medical data, principles of the evidence system construction. Principles of clinical study design. Different samples of patient populations enrolled in the study, different approaches to data analysis, primary and secondary endpoints.

The basics of reference management. An overview of the most popular software for working with references. 
Master class: Mendeley program as an example of working with references and bibliography.
How to store information and how to process it. How information can get to the reference manager. How the information from the reference manager can be used in texts and presentations.

Visualization of biomedical information as text. Simplifying complex slides. Principles of slide layout. What is “beautiful” and what is “ugly.” Principles of visualizing information and creating infographics. Sources of pictures and infographics. Layout of text, tables, and diagrams. Principles of creating diagram templates.

Theory. Complex graphs and diagrams. Principles of reading graphs and diagrams “at sight,”, principles of choosing the type of diagrams to visualize different information. The most common data visualization errors.

Interpretation of simple and complex graphs and their elements: box-plot, forest plot, confidence intervals, histograms, ranks, waterfalls, Kaplan-Meier curves, Sankey, bubble chart, scatter chart, and Mekko chart.
The principles of their construction and resources, software that can help in the construction of complex graphs and diagrams.

Practical part, independent work on the construction of simple and complex graphs. Construction of a forest plot. Creating your own templates.

Mendeley program as an example of working with references and bibliography.
How to store information and how to process it. How information can get to the reference manager. How the information from the reference manager can be used in texts and presentations. a medical adviser needs to know from statistics in order to be fluent in scientific and medical information.

search for scientific and medical information. The key differences between the various resources for information search. Pubmed, Google Scholar. Advanced skills in searching for information in these resources. Management of subscriptions to scientific and medical information in Pubmed, Google Scholar, Medscape, and Google. Search for articles, search for presentations.

Arrangement and cloud synchronization of personal scientific and medical libraries between different devices (desktop, laptop, tablet, or cellphone)

Hierarchy of scientific and medical data, principles of the evidence system construction. Principles of clinical study design. Different samples of patient populations enrolled in the study, different approaches to data analysis, primary and secondary endpoints. basics of reference management. An overview of the most popular software for working with references.

Current requirements for CS articles, meta-analyses, reviews, clinical cases, and presentations from a critical data analysis perspective. What are biases, and why are they important?

Critical analysis of the article by checklist.

Types of scientific journals, their ratings. Where to find, how to interpret. What kind of information we can get from the ratings.
Principles of choosing a journal for publication. What to consider when submitting an article for publication.

Practical approaches to critical analysis of articles. Principles of review. Primary/secondary. Clinical/practical/statistical significance. Assessment of data completeness. Limitations of the study, inclusion/exclusion criteria

Critical analysis of a competitor’s article. Discussion of approaches to critical analysis. Develop a common approach to conducting a critical analysis of competitors.

Critical analysis of the article

Theoretical block. Meaning of real-world clinical data.
Data sources for real-world clinical practice studies.
Observational studies, their types, advantages and disadvantages, methodology, and interpretation of the result.

Workshop: calculations and interpretation of the observational study results

Sampling and the general population.
Type I and II error.

Q&A on the results of the training sessions. Postponed topics, pending questions, things that did not get done in previous sessions.

Principles of creating an argument structure. Mindmapping. International guidelines for writing articles and abstracts, protocols.
Principles of poster design.
Practical approaches to the preparation of review materials.

Principles of review and self-review. Structure. Primary/secondary. Clinical/practical/statistical significance. Assessment of data completeness, fact-checking, data-checking. Limitations of the study, inclusion/exclusion criteria.

Workshop on the collective making of an abstract.
Writing/correcting the abstract of the article.
Workshop on a review of the received work.

Storytelling in articles and presentations.
Interactive discussion and individual work.
Speech objectives.
What do I want to achieve with my speech?
Why does my audience need my speech?
What should happen after the speech?

Interactive discussion and individual work. How to adapt the material depending on:
audience;
amount of attendees;
level of expertise;
concerns and objections; and
roles, positions, status of participants.

Interactive discussion and individual work. Format.
Online vs. offline. Online communications, features. Tools for interacting with the audience online.
Timing.
Technical points and limitations.

Secret materials. Coping with stress, fear of speaking, answering difficult questions, questions for which there is no answer, working with objections.