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MarinStatsLectures-R Programming & Statistics
Canada
Registrace 26. 07. 2013
These R Programming and Statistics tutorials are originally created for Master's and PhD students at UBC by Professor Mike Marin and are now available to public.These videos provide a comprehensive and completely free set of tutorials for introductory and intermediate concepts in Statistics and Statistics with R.
Our team:
Professor Mike Marin is the content creator for these video tutorials and is currently teaching at The University of British Columbia in The School of Population and Public Health, Biostatistics and Epidemiology Division. During his career he has won many awards for excellence in teaching. You can learn more about him here: spph.ubc.ca/person/mike-marin/
Ladan Hamadani (B.Sc., BA., MPH), is the media manager and content editor of the videos. She makes sure that the amazing content is polished and presented in a way that is easy to follow. She also works as a research analyst in health sector.
Our team:
Professor Mike Marin is the content creator for these video tutorials and is currently teaching at The University of British Columbia in The School of Population and Public Health, Biostatistics and Epidemiology Division. During his career he has won many awards for excellence in teaching. You can learn more about him here: spph.ubc.ca/person/mike-marin/
Ladan Hamadani (B.Sc., BA., MPH), is the media manager and content editor of the videos. She makes sure that the amazing content is polished and presented in a way that is easy to follow. She also works as a research analyst in health sector.
9.12 Poisson Regression: Why are model coefficients the log rate ratio?
This video goes over an explanation of why the model coefficients are log rate ratios. Or, why when we exponentiate the model coefficients do we get rate ratios?
These videos support a course I teach at The University of British Columbia (SPPH 500), which covers the use of regression models in Health Research. These videos were put together to use for remote teaching in response to COVID.
►► Watch More:
► Statistics Course for Data Science bit.ly/2SQOxDH
►R Course for Beginners: bit.ly/1A1Pixc
►Getting Started with R using R Studio (Series 1): bit.ly/2PkTneg
►Graphs and Descriptive Statistics in R using R Studio (Series 2): bit.ly/2PkTneg
►Probability distributions in R using R Studio (Series 3): bit.ly/2AT3wpI
►Bivariate analysis in R using R Studio (Series 4): bit.ly/2SXvcRi
►Linear Regression in R using R Studio (Series 5): bit.ly/1iytAtm
►ANOVA Statistics and ANOVA with R using R Studio : bit.ly/2zBwjgL
►Hypothesis Testing Videos: bit.ly/2Ff3J9e
►Linear Regression Statistics and Linear Regression with R : bit.ly/2z8fXg1
Follow MarinStatsLectures
Subscribe: goo.gl/4vDQzT
website: statslectures.com
Facebook: goo.gl/qYQavS
Twitter: goo.gl/393AQG
Instagram: goo.gl/fdPiDn
Our Team:
Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC.
Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH)
These videos are created by #marinstatslectures to support some statistics courses at the University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials ), although we make all videos available to the everyone everywhere for free.
Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!
#statistics #rprogramming
These videos support a course I teach at The University of British Columbia (SPPH 500), which covers the use of regression models in Health Research. These videos were put together to use for remote teaching in response to COVID.
►► Watch More:
► Statistics Course for Data Science bit.ly/2SQOxDH
►R Course for Beginners: bit.ly/1A1Pixc
►Getting Started with R using R Studio (Series 1): bit.ly/2PkTneg
►Graphs and Descriptive Statistics in R using R Studio (Series 2): bit.ly/2PkTneg
►Probability distributions in R using R Studio (Series 3): bit.ly/2AT3wpI
►Bivariate analysis in R using R Studio (Series 4): bit.ly/2SXvcRi
►Linear Regression in R using R Studio (Series 5): bit.ly/1iytAtm
►ANOVA Statistics and ANOVA with R using R Studio : bit.ly/2zBwjgL
►Hypothesis Testing Videos: bit.ly/2Ff3J9e
►Linear Regression Statistics and Linear Regression with R : bit.ly/2z8fXg1
Follow MarinStatsLectures
Subscribe: goo.gl/4vDQzT
website: statslectures.com
Facebook: goo.gl/qYQavS
Twitter: goo.gl/393AQG
Instagram: goo.gl/fdPiDn
Our Team:
Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC.
Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH)
These videos are created by #marinstatslectures to support some statistics courses at the University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials ), although we make all videos available to the everyone everywhere for free.
Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!
#statistics #rprogramming
zhlédnutí: 10 660
Video
9.11 Poisson Regression: Model Assumptions
zhlédnutí 9KPřed 3 lety
This video presents the model assumptions made when fitting a poisson regression model. These videos support a course I teach at The University of British Columbia (SPPH 500), which covers the use of regression models in Health Research. These videos were put together to use for remote teaching in response to COVID. ►► Watch More: ► Statistics Course for Data Science bit.ly/2SQOxDH ►R Course fo...
9.10 Poisson Regression in R: Fitting a Model To Rate Data (with offset) in R
zhlédnutí 14KPřed 3 lety
This video demonstrates how to fit, and interpret, a poisson regression model when the outcome is a rate. Specific attention is given to the idea of the offset term in the model. These videos support a course I teach at The University of British Columbia (SPPH 500), which covers the use of regression models in Health Research. These videos were put together to use for remote teaching in respons...
9.9 Poisson Regression: The Model For Rate Data (what is an offset?)
zhlédnutí 13KPřed 3 lety
This video discusses the poisson regression model equation when we are modelling rate data. The model differs slightly from the model used when the outcome is a count. The main difference is that we must include an "offset" in the model. This video explains the concept of an offset.... the offset is just a fancy word for the denominator in the rate....in the model, we must include this as a sep...
9.8 Poisson Regression in R: Fitting a Model To Count Data in R
zhlédnutí 23KPřed 3 lety
This video shows how we can fit, and interpret, a poisson regression model fit to count data in R. These videos support a course I teach at The University of British Columbia (SPPH 500), which covers the use of regression models in Health Research. These videos were put together to use for remote teaching in response to COVID. ►► Watch More: ► Statistics Course for Data Science bit.ly/2SQOxDH ►...
9.7 Poisson Regression: The Model For Count Data
zhlédnutí 16KPřed 3 lety
This video presented the poisson regression model equation that we use to model the outcome when it is a count. These videos support a course I teach at The University of British Columbia (SPPH 500), which covers the use of regression models in Health Research. These videos were put together to use for remote teaching in response to COVID. ►► Watch More: ► Statistics Course for Data Science bit...
9.6 Intro To Data Used In Poisson Regression R Videos
zhlédnutí 4,2KPřed 3 lety
In this video I introduce the 2 datasets we use to examine poisson regression. one data set is at the individual level and we model counts. The other data set is aggregated and we model rates (which requires use of an offset). These videos support a course I teach at The University of British Columbia (SPPH 500), which covers the use of regression models in Health Research. These videos were pu...
9.5 Poisson Regression: Counts vs Rates, Individual vs Aggregated Data
zhlédnutí 7KPřed 3 lety
This video discusses the types of data we may model using poisson regression. Specifically, I talk about when we can model the "counts" vs when we must model a "rate". I also talk about when we may model data recorded on an "individual level" versus when we must "aggregate" the data. These videos support a course I teach at The University of British Columbia (SPPH 500), which covers the use of ...
9.4 Why We Work On Log-Scale?
zhlédnutí 3,7KPřed 3 lety
This video is a quick reminder of why we work on the log-scale when working with rate ratios. These videos support a course I teach at The University of British Columbia (SPPH 500), which covers the use of regression models in Health Research. These videos were put together to use for remote teaching in response to COVID. ►► Watch More: ► Statistics Course for Data Science bit.ly/2SQOxDH ►R Cou...
9.3 Poisson Regression Connection To Poisson Distribution and Odds Ratios
zhlédnutí 6KPřed 3 lety
This video makes connections to material typically covered in intro statistics courses. First, I review the poisson process which gives rise to the poisson probability distribution. I then demonstrate how we can use Poisson regression to estimate the rate at which events are occurring (which is assumed to be know in the poisson distribution). I also talk about how the poisson regression model c...
Logistic Regression Example
zhlédnutí 2,8KPřed 3 lety
This video walks through an analysis using logistic regression. It begins with a simple bivariate analysis, and build up to a discussion of adjusting for confounding using multiple logistic regression. This video was prepared my Dr. Lianping (Mint) Ti. Dr. Ti is an Assistant Professor at The University of British Columbia, in the Faculty of Medicine. ►► Watch More: ► Statistics Course for Data ...
9.2 Comparing Logistic, Poisson, and Survival Analysis
zhlédnutí 8KPřed 3 lety
This video talks about how Logistic regression, Poisson regression, and Survival Analysis are connected. These videos support a course I teach at The University of British Columbia (SPPH 500), which covers the use of regression models in Health Research. These videos were put together to use for remote teaching in response to COVID. ►► Watch More: ► Statistics Course for Data Science bit.ly/2SQ...
9.1 Week 9 Intro and Recap
zhlédnutí 2,7KPřed 3 lety
This video provides a brief intro to the topics that will be discussed in week 9 of the course. These videos support a course I teach at The University of British Columbia (SPPH 500), which covers the use of regression models in Health Research. These videos were put together to use for remote teaching in response to COVID. ►► Watch More: ► Statistics Course for Data Science bit.ly/2SQOxDH ►R C...
8.8 Extensions of The Logistic Regression Model: Multinomial, Ordinal, and Conditional Logistic
zhlédnutí 6KPřed 3 lety
This video briefly discusses extensions of the logistic regression model. Namely, it introduces the Ordinal logistic regression model, Multinomial logistic regression model, and Conditional logistic regression model. It also makes a mention of some packages in R that can be used to fit these models. These videos support a course I teach at The University of British Columbia (SPPH 500), which co...
8.7 Logistic Regression: R Square Type Measures in R
zhlédnutí 7KPřed 3 lety
This video demonstrates how to obtain multiple measures of model fit, R square type measures, in R. We make use of the RMS package to do so. These videos support a course I teach at The University of British Columbia (SPPH 500), which covers the use of regression models in Health Research. These videos were put together to use for remote teaching in response to COVID. ►► Watch More: ► Statistic...
8.6 Logistic Regression: R-Square Type Measures
zhlédnutí 3,9KPřed 3 lety
8.6 Logistic Regression: R-Square Type Measures
8.4 Effect Modification: Stratifying vs. Modelling It With Interaction Term in R
zhlédnutí 4,5KPřed 3 lety
8.4 Effect Modification: Stratifying vs. Modelling It With Interaction Term in R
8.3 Effect Modification: Stratifying vs Modelling With Interaction Term
zhlédnutí 9KPřed 3 lety
8.3 Effect Modification: Stratifying vs Modelling With Interaction Term
8.2 Building Model To Estimate Effect Size in R
zhlédnutí 7KPřed 3 lety
8.2 Building Model To Estimate Effect Size in R
7.7 Logistic Regression in R: Checking Linearity In R
zhlédnutí 13KPřed 3 lety
7.7 Logistic Regression in R: Checking Linearity In R
7.6 Logistic Regression: Checking Linearity
zhlédnutí 11KPřed 3 lety
7.6 Logistic Regression: Checking Linearity
7.5 Logistic Regression: Model Assumptions
zhlédnutí 16KPřed 3 lety
7.5 Logistic Regression: Model Assumptions
7.4 Effect Modification in R: Calculating Odds Ratios and Comparing With Stratification In R
zhlédnutí 9KPřed 3 lety
7.4 Effect Modification in R: Calculating Odds Ratios and Comparing With Stratification In R
7.3 Effect Modification: Calculating Odds Ratios From Model
zhlédnutí 4,5KPřed 3 lety
7.3 Effect Modification: Calculating Odds Ratios From Model
7.2 Likelihood Ratio Test in R (for LBW Data)
zhlédnutí 5KPřed 3 lety
7.2 Likelihood Ratio Test in R (for LBW Data)
6.10 Logistic Regression in R: Checking Mediation In The LBW Data In R
zhlédnutí 3,7KPřed 3 lety
6.10 Logistic Regression in R: Checking Mediation In The LBW Data In R
This video made me understand variables in 13 mins when my master's course couldn't do it in 2 years. Simply Brilliant!
Hey Martin I love following you. Please do you have course on size calculation
Kindly share the datasets
Thank you so much. You are an amazing teacher!
Great tutorials!! I can't access the data
Thanks a lot, I finally know where that formula of (raw X column)/N comes from. You have saved me from cramming
Hi Mike, been watching since your first video on this course, I was wondering why didn't you get the mean first before calculating squared deviations? Just a question, I love your videos and I'm going to finished these videos btw. Thank you IN ADVANCE
Your videos are excellent. In addition to the high quality content, your clear and focused voice track enhance the learning experience. Many thanks!
At 9:45 i understand that x_4 is determined by everything else and the degree of freedom is three, but i dont understand why we still wouldnt use all four to determine the spread. Why is this. This would suggest that for the case of two numbers we wouldnt divide the sum of the squares by two but by one which seems very unintuitive if we are getting the sd of two values.
Why are the upper and lower fences defined in this way. It seems arbitrary.
ponganlo en 1.5X
Good content. I have a question : 1.) What will be the structure if labelled dataset to train for hazard ? Can we expect any business setting will have hazard function labelled in the dataset ? that looks quite impossible. How then in that case, it can be used for training(estimating the b0,b1,...) etc. ?
This video is more disturbing than the fact that I'm taking stats during Summer quarter. Like, how did it keep getting WEIRDER?!?
hello Marin, can you provide us an alternate route to accessing the datasets and scripts. The link to the datasets is not working. Thank you
hi if anyone can share the datasets and scripts would be very much appreciated. I have attempted to contact MarinstatLectures but no response
Finally handy videos extremely helpful for a guy aged 58 wanting to fill the technological gap and for the first time ever seriously considering investin time and energy in R and progressevely make the transition from Excel
Your explanation is so clear! Thank you.
Why we are subtracting 1 from sd and not in mean
Excellent
thank you
Is it just me, or is Dr. Layne Norton's voice echoing through the void yelling about randomized human control trials?
How to deal with cases which do not meet Cox PH Model Assumptions in R? Thanks
Thank you very much
Thanks prof🎉
Thank you,,, from Tanzania ❤❤😊
@marinstatlectures, how is the VAR(X1)=VAR(X2)=...=sigma?
Thank you. I am very much grateful.
Great teacher.
I got it finally once forever. THANKS
Thanks for your work. Great videos
Brainstorming
Magnificent
nice hat 🤣 great teacher
SImply, spectacular! Thk!
Chant Nam myoho renge kyo everyday, to open the inner buddhahood and the path to happiness.
Thank you so much for these videos. You are a lifesaver.
Thank you for helping me. Taking statistics starting this week.
Thank you sir ,you provide all material which i need.
This is wack 👎🏼👎🏼👎🏼👎🏼👎🏼👎🏼👎🏼👎🏼👎🏼👎🏼👎🏼👎🏼 overcomplicating nursery programmes 😢
Dudes writing mirrored in reverse with his left hand. I've practiced things like this along with using "I Am ambidextrous" confirmations to reprogram my subconscious mind and indeed I have become much more mentally creative and left/right handed in function. REALLY HELPS WITH GUITAR. 🎸
You’re such an amazing teacher!!!
The best statistics prof in YT! Thank you so much!!
The best!
Dear Mike, How should i have sequenced classes of this course, i am intresting to have learn
Excellent 👏👏
TY!!!
The fact that no one is talking about your ability to write backwards is pretty "skewed" up in my opinion. Bravo sir.
Literally. What sorcery is this????
Why they used a childs voice in the end! Made me feel like the uploader is unprofessional...
Today is the day I understand the Monty hall problem . Thank you soo much for this detailed video......🙂🙂
Thanks lecturer
I like this ❤😂