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Recreational Stats
Добавлен 6 июн 2018
For downloading datasets used in these videos, go to the following DropBox Folder: www.dropbox.com/sh/osqccbcdmuki78u/AADcI05GS14Zc9nNUaBd9sdOa?dl=0
Assessing Linear Regression Assumptions from Regression Model
What are the assumptions of linear regression and how do you know if you met these assumptions? This video shows some simple methods in Stata for assessing normality of residuals, generating model fits and model residuals, visually identifying major outliers, and for assessing collinearity among variables.
Просмотров: 301
Видео
Logistic Regression (Brief Intro) in 15 minutes
Просмотров 3716 лет назад
Using logistic regression for continuous variables to get crude and adjusted odds ratios (very brief introduction and use of logistic regression as well as interpreting model discrimination and model calibration using the Area under the ROC curve and Goodness-of-Fit Test)
Logistic Regression Part 2 - Example 2
Просмотров 1346 лет назад
Using logistic regression for continuous variables (very brief introduction and use of logistic regression as well as interpreting model discrimination and model calibration using the Area under the ROC curve and Goodness-of-Fit Test)
Interpreting Simple and Multivariable Linear Regression Output
Просмотров 2896 лет назад
Interpreting Simple and Multivariable Linear Regression Output
Making Scatterplots & the Linear Line of Best Fit in Stata
Просмотров 8 тыс.6 лет назад
How to use Stata for generating a scatterplot between two variables and a line of best fit (it's actually simple linear regression)... It's super easy if you have your data organized in columns.
Correlation Testing Using Stata Part 1 of 2
Просмотров 3636 лет назад
Should I use Pearson or Spearman Correlation? Which is best for normal data and which is best for nonparametric data? How do I interpret correlation coefficients? This video will answer those questions and show you how to use Stata to do the p-value approach for determining if the correlations are significant or not.
Pearson vs. Spearman Rank Correlations - Part 2
Просмотров 6096 лет назад
Should I use Pearson or Spearman Correlation? Which is best for normal data and which is best for nonparametric data? How do I interpret correlation coefficients? This video will answer those questions and show you how to use Stata to do the p-value approach for determining if the correlations are significant or not.
Part 1 - Chi-Square (Chi2) Tests for Categorical Data Analysis for 2 x 2 Tables
Просмотров 2326 лет назад
Using the Chi-Square Test and the Tab commands in Stata for assessing differences (or lack of differences) in categorical data for simple 2 x 2 tables. Part 1 of 2 videos on Categorical Data Analysis.
Part 2 - Chi-Square (Chi2) and ExactTests for Categorical Data Analysis with Larger Tables
Просмотров 1366 лет назад
Using the Chi-Square Test, Exact Test, and the Tab commands in Stata for assessing differences (or lack of differences) in categorical data for tables with low cell counts and for multiple comparison
Log Base 10 Transformation to Help Data Fit Normal Distribution
Просмотров 1866 лет назад
Log Base 10 Transformation to Help Data Fit Normal Distribution
Using Stata for Nonparametric Equivalent Tests to the Paired T-Test
Просмотров 3746 лет назад
Using Stata for Nonparametric Equivalent Tests to the Paired T-Test
Mann-Whitney Test Introduction Part 2 (AKA Wilcoxon-Rank Sum Test)
Просмотров 1126 лет назад
Mann-Whitney Test Introduction Part 2 (AKA Wilcoxon-Rank Sum Test)
Using the Two-Sample Mann-Whitney (Wilcoxon Rank-Sum Test), Part 1
Просмотров 1746 лет назад
Using the Two-Sample Mann-Whitney (Wilcoxon Rank-Sum Test), Part 1
Part 3 - the paired t-test, and paired t-test application in Stata
Просмотров 966 лет назад
Part 3 - the paired t-test, and paired t-test application in Stata
Part 1 - One Sample t- and z-test calculations
Просмотров 2336 лет назад
Part 1 - One Sample t- and z-test calculations
How does sample size impact ability to detect significant differences for the odds ratio?
Просмотров 7136 лет назад
How does sample size impact ability to detect significant differences for the odds ratio?
Sample size impacts on standard errors, standard deviations, and more
Просмотров 1806 лет назад
Sample size impacts on standard errors, standard deviations, and more
95% Confidence Intervals and S.E. for Means w/ Normal Distribution
Просмотров 2476 лет назад
95% Confidence Intervals and S.E. for Means w/ Normal Distribution
Calculating Standard Deviation & Standard Error in Stata
Просмотров 19 тыс.6 лет назад
Calculating Standard Deviation & Standard Error in Stata
Normal Distribution "Bell" Curve and Relationship with Standard Deviation
Просмотров 9146 лет назад
Normal Distribution "Bell" Curve and Relationship with Standard Deviation
Part 2 for Using Boxplots & Exploring Creation of Categorical Ordinal Data in Stata
Просмотров 4686 лет назад
Part 2 for Using Boxplots & Exploring Creation of Categorical Ordinal Data in Stata
Part 1 for Using Boxplots & Exploring Creation of Categorical Ordinal Data in Stata
Просмотров 7246 лет назад
Part 1 for Using Boxplots & Exploring Creation of Categorical Ordinal Data in Stata
Using Stata 14 to Learn about the Normal Distribution
Просмотров 11 тыс.6 лет назад
Using Stata 14 to Learn about the Normal Distribution
Dependent versus Independent Variables
Просмотров 1316 лет назад
Dependent versus Independent Variables
Describing Statistical Data as Quantitative versus Categorical
Просмотров 6336 лет назад
Describing Statistical Data as Quantitative versus Categorical
Introduction into Usage of the P-value Approach for Statistics
Просмотров 736 лет назад
Introduction into Usage of the P-value Approach for Statistics
Awesome THANK YOU SO MUCH
Great teaching, Many thanks
You saved my life. I love you so much. God bless you🙏🏼🙏🏼❤️❤️❤️
Very great Piece.thank you
wow thanks brotha!
thank you so much this has been really helpful.
How to use stats to calculate S.E?
Thank you, I was wondering how to do this and the command you provide works great!
The best video explained Odds ratio. Thank you, Jason:-)
This is a succinct and best-explained video for OR and CI. Thanks!
so cool !!!, thanks mate
Thank you for sharing and explaining this complex topic with such a clarity. Grateful to you !!!!!
Great tutorial! thanks.
you didn't use stata...
great explanation.thanks a lot
Thank you so much!!! :D
Sometimes something statistically significant may not be clinically significant
Please explain! I think I get the gist of what you're saying but want to fully understand.
@@vee_grave basically, the statistical hypothesis test may show there is an effect (it’s not by chance), but the effect may not be significant enough to take action.
Thank you very much
Thank you so much!!!!! These videos really helped me understand the concept!
what is the term mean statistical precision of the findings? 0R is 12.56 p-value is less than 0.001 95% CI (4.62 -34.15) . The CI window is wide here ,what could be the reason that small sample size?
One of the best explanations for Odds ratio and confidence interval. Thank you.
Thank you so much! I had so much confusion about lfit command in Sata.. you cleared it up very nicely. Can you please explain the qfit command as well.
He knows how to teach
These series of videos are underwatched , thank you for your great efforts.
Very helpful ! Thank you very much doctor
Pure perfection Thank you for sharing your knowledge, doctor ❤
Probably the best video that explains the concept of hazard ratio and confidence interval. I thank you good sir for this great video
Sir could you please show how to fit a lowest lower envelope regression line below which 10% data lies to the same dataset. I will be thankful
I can't thank you enough for sharing this very helpful video!
this saved me! thank you very much
Thank you so much!!!!! you are the best!!! clear, direct, simple!!!
Thank you for the videos Dr. Marion
Thank you!!!
Thank you..helpful video..can you please also explain how to interpret the odds ratio for a paper in detail..for example..if the OR is 0.67..is it that the odds of developing the disease in a patient is 0.67 times lower? How do we write that?
Yes, the odds of developing the disease in the patient would be 0.67 times lower than the reference group; however, if it is continuous variable, it would be for each increase in fruit consumption per day (maybe age in grams), the odds were 0.67 times. Please know that when OR values are below 1.0 though, as you may see in the later videos, it is better to think and speak of them in percentages for interpretability. For example, if the OR is 0.67, and it is significant, it is much easier to speak about it as being 33% less. For further example, persons who consume dark fruits daily have a 33% (1-0.67) reduced odds of the outcome compared to the reference group (which may be people who do not consume fruits daily). Another example for a continuous variable is like so... if fruit was measured in dekagrams (10 gram units), for every dekagram of fruit consumption, there was a 33% reduced odds of disease. For OR values of 0.89 (0.81-0.97), you may say that for every pint of drink, there was an 11% reduced odds of whatever.
very helpful
Cool stuff
Great explanation. Thank you! Maybe you can show us how to do a regression plane in the future ...
Thank you! Very helpful.
i really thank you a lot , after watching your video i say with confident i can read the OR and CI
You are amazing. I am pleased to give you the first like and comment. You deserve it. The way you take your time and explain things and repeat it over and over for repetition is incredible and helps it stick to memory. Keep it up. Thank you!