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Makerere Epidemiology and Statistical center
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Добавлен 12 май 2019
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You can donate for the good work on PayPal.me/makepistat (@makepistat)
Mastering Hierarchical Models in R PART TWO: GLM, GEE, Mixed Effects, and glmmTMB
Unlock the full potential of hierarchical models in R with this comprehensive tutorial! 🌟
In this video, we dive deep into the theory and practice of hierarchical models, including:
Generalized Linear Models (GLM)
Generalized Estimating Equations (GEE)
Mixed Effects Models
glmmTMB Models
Whether you're a data scientist, statistician, or researcher, this tutorial is designed to help you master these powerful tools for analyzing complex data structures. Learn how to implement and interpret hierarchical models in R with step-by-step examples and real-world applications.
📌 What you'll learn:
The fundamentals of hierarchical models
How to fit and interpret GLMs, GEEs, Mixed Effects Models, and glmmTMB ...
In this video, we dive deep into the theory and practice of hierarchical models, including:
Generalized Linear Models (GLM)
Generalized Estimating Equations (GEE)
Mixed Effects Models
glmmTMB Models
Whether you're a data scientist, statistician, or researcher, this tutorial is designed to help you master these powerful tools for analyzing complex data structures. Learn how to implement and interpret hierarchical models in R with step-by-step examples and real-world applications.
📌 What you'll learn:
The fundamentals of hierarchical models
How to fit and interpret GLMs, GEEs, Mixed Effects Models, and glmmTMB ...
Просмотров: 30
Видео
Mastering Hierarchical Models in R PART ONE: GLM, GEE, Mixed Effects, and glmmTMB
Просмотров 643 месяца назад
Unlock the full potential of hierarchical models in R with this comprehensive tutorial! 🌟 In this video, we dive deep into the theory and practice of hierarchical models, including: Generalized Linear Models (GLM) Generalized Estimating Equations (GEE) Mixed Effects Models glmmTMB Models Whether you're a data scientist, statistician, or researcher, this tutorial is designed to help you master t...
Mastering Linear Regression: How to Test Assumptions for Accurate Results
Просмотров 1783 месяца назад
Welcome to our comprehensive tutorial on testing the assumptions of linear regression. In this video, we'll guide you through the crucial steps to ensure your regression model is accurate and reliable. Whether you're a student, researcher, or data analyst, mastering these techniques is essential for your data analysis toolkit. 📊 What You'll Learn: Assumptions of linear regression: Linearity, Ho...
Master Survival Analysis: Understanding Cox Proportional Hazards
Просмотров 7713 месяца назад
Description: "Welcome to our comprehensive tutorial on Survival Analysis with a focus on the Cox Proportional Hazards model. This video breaks down complex statistical concepts into easy-to-understand steps, perfect for students, researchers, and professionals in the fields of biostatistics and epidemiology. 📊 What You'll Learn: Basics of Survival Analysis Understanding the Cox Proportional Haz...
Mastering Qualitative Research: A step by step guide. From beginner to advanced
Просмотров 5410 месяцев назад
This video will teach you all you need to know in the theory of Qualitative research
China Lunarfest at Yale University
Просмотров 85Год назад
This is a performance from China community in New Haven. Very beautiful, enjoy!
Designing Experimental Studies: Principles used by Pfizer, Moderna and AstraZeneca
Просмотров 402 года назад
This video will teach you about principles of designing clinical trials (Experimental studies) Link to presentation: makepistat.org/files/Experimental Studies.pdf
How to perform a T test in Excel and STATA
Просмотров 1652 года назад
1. What a T test means 2. How to preform a T test in Excel 3. How to perform a T test in STATA You can download the PowerPoint from makepistat.org/index.php#Tutorials (Biostatistics)
How to draw and label a bar graph in R and ggplot2
Просмотров 882 года назад
You can follow the R script by downloading it here makepistat.org/files/introduction-to-R.pdf You can also watch a full episode of introduction to R and Rstudio here ruclips.net/video/1h_n5xaipl0/видео.html
how to draw a scatter plot in R using ggplot2
Просмотров 352 года назад
You can follow the script by downloading it from makepistat.org/files/introduction-to-R.pdf Or follow a complete video on introduction to R and RStudio ruclips.net/video/1h_n5xaipl0/видео.html
How to select within a variable in R (%in%)
Просмотров 232 года назад
This uses Dplyr package or Tidyverse you can follow the script by downloading it from makepistat.org/files/introduction-to-R.pdf
Introduction to R and R Studio part 2! How to use R and RStudio for data analysis
Просмотров 692 года назад
You will learn 1. how to do data wrangling in R 2. To to use dplyr 3. How to use ggplot2 4. How to draw bar graphs in R 5. How to draw scatter plots in R 6. How to use filter, mutate, groupby in dplyr 7. How to categorize continuous variables 8. How to rename categorical variables 9. How to use %in% Find a copy of the commands on our website: makepistat.org/files/introduction-to-R.pdf
How to draw Kaplan Meier survival curves in R
Просмотров 7 тыс.2 года назад
Learn the easiest way to get Kaplan Meier survival curves in R, Interpretation of Kaplan Meier survival curves, Adding a P-value or log-rank test on Kaplan Meier survival curves, adding confidence intervals on Kaplan Meier survival curves, adding risk table on Kaplan Meier survival curves, adding a median survival line on Kaplan Meier survival curves
Choosing a correct statistical test or Analysis method
Просмотров 2522 года назад
Choosing a correct statistical test or Analysis method
Add page numbers to a word document in 2 minutes
Просмотров 2,6 тыс.2 года назад
Add page numbers to a word document in 2 minutes
Adding a Table of contents to a word document in 3 minutes
Просмотров 23 тыс.2 года назад
Adding a Table of contents to a word document in 3 minutes
Adding references to MS Word with Zotero
Просмотров 1932 года назад
Adding references to MS Word with Zotero
Interaction terms in logistic regression using STATA
Просмотров 8 тыс.2 года назад
Interaction terms in logistic regression using STATA
Introduction to Data Analysis Using STATA episode 2
Просмотров 1 тыс.2 года назад
Introduction to Data Analysis Using STATA episode 2
Adding List of figures and list of tables a word document
Просмотров 754 года назад
Adding List of figures and list of tables a word document
Nice stuff, but the background music is a distraction - you don't really need that.
@@nndegwa1 Thanks for your review. It will be considered in our next videos
The videos are very great. I have watched almost all the videos on the channel but they are not beginner friendly. So many unfamiliar terms and assumptions mentioned. Kindly make a video using a real scientific study and take us through the whole analysis process step by step. A mixed methods study preferably to hit two birds with one stone. Thanks for the great work.
Thank you for the feedback. Let's plan on doing that.
helpful video, but the music in the background in very annoying and quite distracting unfortunately
Thanks for the feedback. We shall adjust
I really appreciate this 👏
Very nice I learned from you thanks
Glad to help
*PromoSM*
Hi. Thank you very much; this was really helpful. Is it possible to change the y axis to % instead of fractions? Is it also possible to specify the min and max and intervals in the x axis? Thank you.
While I haven't tried to change the probabilities on the y-axis to percentages, I believe it's possible since percentages can be probabilities. Setting min and max on y-axis, that might not be possible since it calculates the probability ratios between 1 and 0. For the x-axis, sure, you can change the ranges as they suit your data.
@@makepistatI figured it out. Thanks.
Great stuff dok
The myeloma data is it from TCGA
It comes with the package. I am not sure of the exact study
outstanding
Thank you
Amazing video thx
You're welcome
Thank you so much with the video. It was so clear and easy to understand. i used as on my data set for my thesis!
That's great!
Finally found a great video of the learning table of contents😊, thank you!
Thanks it was useful
Thank you for the tutorial video and the explanation. Nicely done.
Thank you very much u made it super easy.
Thank you
HOW CAN I CONTACT😊 WITH YOU BRO
yes you can, bs4813@nyu.edu
@@makepistat okay brother
@@makepistat brother please i sent you Mail
@@ahmedal-mammari9639 Sorry bro.... I am not seeing it. Do you mind rechecking the email address
Wow, that was an increadible video! Thank you! Perfect for last-minute tidying up text:-).
thanks great lesson
Thanks a lot for making it so easy
How to is the diffrence in logit mode oddratio and maginal effect
A logit model is used to predict the probability of an event occurring with odds ratio as a measure of association while marginal effect measures the change in the predicted probability of an event occurring with a unit change in the independent variable
Excellent tutorial, can you please share the R code.
drive.google.com/file/d/1iobldSKJGA2FWen6v3m1zS14FTLBWuv7/view?usp=sharing
Outstanding! It's wonderful to see that it works in my computer exactly as in your video. Thank you.
You're welcome bro
Very helpful brother. Whenever I feel to come to Uganda, I will give you a shout.. Very simple and clear. " You make my day" Very welcome to Ghana......
Thank you brother, Asalam alaykm
The easiest learning! thanks a lot!
Great!
This video saved my ass today. 😂🙌
Same here bro..last minute saviour.
.Hi,Thanks for a great video...I had a set of 28 genes and the journal wanted to make a single KM plot I applied the coxph model .Here is the code I used for a set of 5 genes. res.cox <- coxph(Surv(survival_time, event) ~ IL10 + CXCL1 + CXCL2 + CXCL3 + IRF4, data =BLCA_data) #to visualize genes, I construct a new data frame gene_df. #here all genes have discrete values in BLCA_data ,with 1 as high expression & 2 as low expression. gene_df <- with(BLCA_data, data.frame(IL10 = c(1,2), CXCL1= c(1,2), CXCL2= c(1,2), CXCL3= c(1,2), IRF4= c(1,2))) fit1 <- survfit(res.cox,newdata = gene_df) ggsurvplot(fit1,legend.labs=c("High", "low"), data=gene_df) With this model, I got a single KM plot of high and low expression gene groups. However I am not able to get a female,female and high and low expression curve . Can you help me in this. Will highly appreciate it.
Thank you Sir,,, that was helpful
You're most welcome
Thank you for all the details!
Good one
Thanks it is very useful.
Glad it was helpful!
👌🏿
A very good piece, thank you Dr.
Extremely useful information. Dr. Ssuna lays out the basics of referencing in a simple way.