Receiver Operator Characteristic (ROC) Curve in SPSS
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- Опубликовано: 15 июл 2024
- This video demonstrates how to calculate and interpret a Receiver Operator Characteristic (ROC) Curve in SPSS. Evaluating sensitivity and specificity to inform selection of cutoff values is reviewed.
This amazing video regarding ROC Curve, which I see, is the best video ever.
I needed a quick refresh of ROC curves and this is exactly what I was looking for! Thank you for the clear explanation of how to perform it on SPSS Todd.
This video really helped me understand the reasoning behind using ROC to check data. The details on sensitivity and specificity helped too.
Thank you Dr. Grande for easy to understand explanation!
I have never used a ROC curve so it was cool to learn about it, and why we use it. At first I was confused on what the depression score was used for but when I looked back at the beginning, you said it was the "scale" which cleared things up for me on that.
when it comes to regression analysis, there is not more strong lessons than this channels
thank you
very well explained. thank you Dr. Todd
i would like to thank you very much. i learned how to calculate specificity and sensitivity and the ROC..wonderful
Thank you so much! My course did not provide this very important information and expected me to be my own professor. I would not have understood any of my assignment if not for you.
Found this helpful when showing the difference between false negatives/positives and how they happen.
Thank you very much for comprehensive simple way of explanation, Best regards
This answered my question about finding the area, if it is above .9 the test has great specificity and sensitivity. Above .8 is considered good as well. Good to know!
Nicely explained. Learned what I really wanted to know.👍
thank you very much d. todd.....i appreciate ur effort
Excellent explanation!
Dear Dr Todd Grande. Thank you very much for your RUclips videos, especially on SPSS and mainly the ROC curve as they have helped me a lot. I am still struggling with how to generate a ROC table containing TP, TN, FP and FN given this(in this very video) particular form of ROC analysis where to predictor is set of continuous which performance and the cutoff for prediction of the "truth" are sought. Please how can I get SPSS to generate a ROC table containing TP, TN, FP and FN when doing ROC this way? Thank you.
Dear Dr.Grande,
Thanks for your video!! clearly explained as always! This video only include one independent variable and I would like to ask what should I do if my project have to classify cancer recurrence and non-recurrence using multiple genes? should I use the binary logistic regression or the linear discriminant analysis or else? I hope I can receive your PROFESSIONAL advice!!!
Thanks a lot. Very well explained
Thank you Dr. Todd.. I'm doing this analysis on prognostic test. My question is, can it continue with PPV, NPV, LR+, LR- I mean, with this numerical data? Or should we categorized first? thank you
Thank you so much Dr. Grande! I need to calculate positive/negative predictive value, the % of correctly disease classification of an specific cut-off (previously calculated by your method in SPSS), would you mind to help me? Thanks!
Thank u thank u thank u very much
Hi! Is it possible to manage different scores at the same time and compare de AUC using the Hanley & McNeil or DeLong methods with SPSS? Thanks!
Nicely Explained!!!!!
Thank you!
well explained, thanks
Thank you so much for your presentation, it is very useful. Is it possible to do a ROC cure using the data type you used for the sensitivity and specificity? i.e. diagnostic test and reliable test (the gold standard)
Thank you for very informative video. I ahve question concerning signture with values. if you have different genes (they have values) and you want to combine to assess their diagnostic values, how does it work? thanks in advance
Thank you Sir. Could you please make a similar ROC video using miRNA expression between control and patients
hi how you treat the ties, my graph also suggest ties, what we can explain about it
Is there any other way of determining cut off age for prostate cancer screening programme other than the ROC curve and just cut off point ?
Would it be better to choose optimum cut-off point over the likelihood ratio?
Thank you so much for the clear explanation, it is really helpful! If i want to choose my own cut-off scores to look at eg. 1.5 instead of 1.55 given by SPSS, how may i do so?
I have question, Can ROC be plotted with multiple Columns and rows?
Understanding how to balance the consequences of a cutoff score has to be determined by what is tolerated by the test. Is it the instrument being used that will determine if this is a good result to measure the test. High and low scores can be predictive of positive and negative outcomes.
thanks so much
Best video ever created. Are there free versions of spss?
Hello. :) Howcome a higher score means a lower sensitivity? Shouldn't it be the other way around?
thank you so much
You're welcome!
Sir pls explain how will I compare two methods to test which is best I have outcomes of the test in positive and negative of different bacterias
very informative
Thank you!
Thank you sir but may i know the mathematical equation for threshold
Is it possible to change the cut-off values that are displayed in the 'Coordinates of the Curve'? The results are listed in .5 increments but my scale is in whole numbers.
yes, u may change it to .2 or .1 to have a better AUC
where???
how to construct more tthan 1 ROC curve in 1 graph?
What about ROC Graph with no visible curve wat does it signify
What about significancy ? Is the auc number significant or not?
how to calculate the cutoff value if the outcome is a percentage?
Hi .how do I interprate ric curve with p value>0.05?
Can you provide the Data for the Statistical Analysis of the ROC Curve?
i dont know depression score???
Is this a logistic regression?
Can you please do ROC analysis using STATA
Too complicated for me to follow without being motivated enough by deadlines later.. Interesting how there must be parallels between the way data is collected from people who have purchased hearing aids with the intent to use them to be analtysed and how data from someone recieving treatment for depression is similar in the way Windows would have had to be cusjtomized too when the data from the instrument being used to do the analysis. In the case of using an instrument to follow the progress of a mental health patient over time how can a person who owns a clinic with more than one professional working there relate all of the instrumental results in a clinic setting overall when it comes to best practice there if the 85% of relevance when using a diagnostic insturment is only valid when analyising the positive outcomes?
you didn't share the data you used so that we follow along