All needed instruction, video, content, and needed tools are all freely available on the Internet. The only thing is to find a good mentor and start your project. The problem many other novice researchers (like myself) faced was the idea that “I am not capable of doing research unless I have all the skills”. FALSE. You need to find a good mentor (either a peer mentor or a professor with a smile) and just start finding a subject, writing the proposal, gathering the data, analyzing the data (Big thank to SPSS), and start writing the draft of the manuscript. You will learn everything through the road.
Here are the contents I gathered for you. I also established a “Research Path“ that will help you through every step of your first research. Some cool stuff and widgets that I wished to know of earlier is provided in the “STUFF” section.
Clue for Kick-Off
I believe in learning by doing, and I know all human beings are capable of doing things and learning things just by going through online resources. However, sometimes it is hard to know where to start. Here you can find your kick-off point. Just be confident and go with it. I choose hand-selected content for you; in rare cases, I describe concepts and use cases (Links are merged in texts, click them and enjoy).
Writing is art. You can become competent if you do it so many times. Also, editing others or asking others to edit your writing will boost your writing skill. Remember, you can write your manuscript when you read the literature properly and comprehended your results. Also, you should know what you want to say in each paragraph. If you write your draft correctly, then by editing it you can achieve a world-class manuscript.
1. This zip file contains three pdf files. (I) One of them will help you to choose linking words, (II) the other one is a set of template sentences you can use in every situation of your manuscript, (III) the last one is a small book that aims to teach you the context of each word and verb commonly used in scientific literature.
2. Stanford scientific writing course by Dr. Sinani is a must-see course. It will take your writing to another level.
Well, I want to thank Siavash Shirzadeh Borough for his support during my pathway of learning ML. Many of these videos are suggested by him. However, don’t forget that if you don’t do this thing in a real project, they are worth nothing.
[Update on March 2023]: I read many sources and saw many videos. My recommendation for all junior peers who want to learn ML is to remember to learn both code and concepts. I think learning code in Datacamp and learning concepts with Jodi would be the best combination. You can continue your journey with more advanced resources, such as the below ones.
2. Datacamp: data analyst track (combination of 9 courses)
3. This is a fast-paced course to start coding in python (you can also see this video before ML.1 and ML.2 as I did)
2. Jodi ML course (in Farsi at maktabkhone)
1. Data camp machine learning scientist track (combination of 23 courses)
Now you are good to go. Start your project and learn more on youtube. I really find the Stanford media channel on youtube interesting. They present how they did their projects, so it may help you do yours. My friends and I also have a weekly journal club discussing new research in the field. If you are interested, you can contact me to join our meeting (and have a good coffee 🙂
Book for code (in R) and concept
If you want to further expand your knowledge of statistical learning, the book named “Introduction to statistical learning” is super amazing!
Understanding Deep Learning
Google Drive with many free resources
How to analyze your data using SPSS as an entry-level researcher without any knowledge of statistics (I recommend you learn statistics using many resources out there)
The systematic review is the most reliable evidence in medicine. You can learn it here :
Comprehensive Meta-Analysis Software: A super easy-to-use software to perform a meta-analysis.
You can use metafor package of R language for more advanced cases.
How to write Systematic Review (6-hour course)
All about systematic review of machine learning models & meta-analysis of diagnostic studies)
Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA) explains all of the tools that you should use from quality checks to meta-analysis when you are doing a systematic review of machine learning models. It is awesome!
More deep thoughts from prestigious editors. You can also find suitable materials and instructions in prestigious journals on reviewing an article.
I made this instruction video for my journal, but it will help you to create a brief understanding of peer-review systems. Although there are many critics of the current approach of peer reviews, I think there is no better option yet. (I also described how to confirm your check-in Publons. I know Publons is currently merged with WOS, but the process is still the same)
Link to page, dedicated for my mentees for doing peer review: GO TO PEER REVIEW INSTRUCTION
During my first years of med school, my grades weren’t that good, and I also failed some classes. I struggled, and finally, overcome these obstacles and challenges. Although all of my family were attending physicians (we have 11 attending physicians including both my grandfathers, father, uncle, and my big brother also did his MD in Shahid Beheshti), I was facing many problems that didn’t even hear of. Here I presented these challenges and some hints to overcome them. Every human and his path is unique, and you can use these contents to create your own way of development.
1. Create your vision, align your long-term goals, and go for short-term plan (my session for “Negaresh” association)
2. The pathway of the medical curriculum in Iran, and what you should know (Coming soon 🙂
3. When you can do research and why you should do that (Coming soon 🙂
Step-by-Step Systematic Review and Meta-analysis with High-Quality
Link to Video in Farsi: CLICK ME
- Diagnostic Test Accuracy (DTA) Meta Analysis: All you need is RevMan and this course: https://training.cochrane.org/uploads/resources/embedded_resources/DTA_modules/7.2_Analysis_with_RevMan/story_html5.html
I usually try some differenet options, each giving me some options. At the end, I chose a list of journals that (1) is suitable for the article topic (2) give my article more than 10% chance of acceptance.
Method 1: Search for the list of journals in a topic (e.g. list of gastroenterology journals in JCR or SCIMAGO)
Method 2: Search with relevant keywords in PubMed, find review or original articles similar to mine, see the journal that published them. Remember to install the “Pubmed Impact Factor Extension” so it will give you insight on the journal impact when you are on pubmed website. (I really like this method)
Method 3: Use some journal suggester tools (I don’t like them 🙂
Method 4: Search WOS with general keywords, and see which journal published most of the articles in your artilce’s field.