Are you passionate about biostatistics and public health research? Whether you're a student, researcher, or a professional, you've come to the right place! My main objective is to help you learn and teach biostatistics and public health research effectively.
🔬 Biostatistics Tutorials - Step-by-step guides on statistical methods and analyses used in health research. 📊 Data Analysis - Practical demonstrations on using statistical software like R, SPSS, and Python for data analysis. 📚 Public Health Research - Insights into designing, conducting, and interpreting public health studies. 🧠 Research Methodology - Tips and techniques to improve your research skills and knowledge.
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Join me on this exciting journey to unlock the power of biostatistics and public health research. Together, we can make a difference! Ahshanul Haque
Asalamualaykum warahmatulahi. jazakallah, I have a great idea. I have one question: I have tried to perform svy: melogit the following message appeared. ." svy:melogit Fertility_desire||v021: (running melogit on estimation sample) survey final weights not allowed with multilevel models; a final weight variable was svyset using the [pw=exp] syntax, but multilevel models require that each stage-level weight variable is svyset using the stage's corresponding weight() option an error occurred when svy executed melogit" What is the problem and how can solve this issue?
hello, I have a question, I have a test that is a continuous variable, I put this test in to a model with the other confounders to predict a binary outcome. How can I have the optimal cut off of the test in the context of adjusting for confounder? In your video, you did not adjust for confounding.
It was a really informative video, Sir. Thank you. Can I have your email address, Sir? I have some inquires regarding to this topic for my upcoming project.
