Thank you, glad you enjoyed it! To request the .pdf of the handout please contact us with the name of this presentation at: www.omegastatistics.com/contact/
@ewerninghaus2 жыл бұрын
Very nice presentation. You are really into the matter and passed this positive vibe while talking about the subject. It is an easy 1 hour 20 spent hearing and learning from you. Also nice hints and tips you spread along the way (like the comment that the hazard rate can only be computed at the end of the experiment). Thank you for preparing the material and sharing online.
@omegastatistics2 жыл бұрын
So glad you enjoyed it!
@abderrahmaneboumedienederk52932 жыл бұрын
Thank you for this video
@omegastatistics2 жыл бұрын
You are welcome!
@laxmanbisht26382 жыл бұрын
thanks!
@omegastatistics2 жыл бұрын
You are welcome Laxman!
@roiad8762 жыл бұрын
This has been very instructive, thanks! I'd just ask if you could please show us your syntax output? It would add to the reproducibility of research.
@omegastatistics2 жыл бұрын
If you would like syntax and output, please email me at [email protected] with your request. Thanks!
@hodaabouzeid33122 жыл бұрын
Great explanation.. thank you
@omegastatistics2 жыл бұрын
You're welcome Hoda!
@xujingee2 жыл бұрын
Thanks for the seminar.
@omegastatistics2 жыл бұрын
You're welcome Jing Xu!
@HealthbeautyluckyshahBlogspot2 жыл бұрын
Great way to teach and I solved the issue I was having. But I have few questions, 1) can you share the reference article to add? 2) I have read few papers and they suggest different methods(linear or logistic) for different type of variables. I noticed you used for all type variables. Can you explain or give reference to article? 3) if I understood correctly data MAR not NMAR?
@omegastatistics2 жыл бұрын
Hello Beautywdbrain, which article did you want? Please give me the name and I will see if I can find a copy. The example I did was for linear regression with a continuous variable outcome. Of course there will be different ways of working with different models. More than I can explain here. Goggle is your friend, do some searching and you will find info. :)
@HealthbeautyluckyshahBlogspot2 жыл бұрын
@@omegastatistics thank you for reply. I wanted to know reference of article to quote if I perform the same method as you did for research. Hope this clears
@majid852 жыл бұрын
Can this method be used for precipitation data, when a whole year of data is missing? or in some years a few months in a row are missing?
@omegastatistics2 жыл бұрын
It depends on how your data is structured. Also, remember that your data must be MCAR or MAR to use Multiple Imputation. If you are MNAR data then MI should not be used (but is often is). Try to run the imputation and see what you get.
@snigdhodas28483 жыл бұрын
Great video...I wanted to ask is there any method by which we just impute only certain missing cells and keep the other missing cells unimputed or vacant as it is?
@omegastatistics2 жыл бұрын
Hi Snigdho, You can easily leave entire variables out of the mix, but cell by cell, you may need to use some code with filters. Here is a link to some information on using filters: wlm.userweb.mwn.de/SPSS/wlmssel.htm
@snigdhodas28482 жыл бұрын
@@omegastatistics thank you
@omegastatistics2 жыл бұрын
You're welcome
@joat91053 жыл бұрын
so which data we should input to the blank fill, the first one or the other? thanks
@omegastatistics3 жыл бұрын
Hi The Suck, all of the imputed datasets are used when you run the analysis. You use the multiple sets and that is why it is called multiple imputation. Choosing any of the analyses with the little sea shell looking icon next to them from the analysis menu does this automatically for you.
@joannayeung66953 жыл бұрын
Thank you so much! This is really helpful! May I know if my data sets include both categorical and continuous data, how should I handle it? I have coded the categorical missing data as dummy variables, then should I just do the multiple imputations on the continuous missing data?
@wellsmemphis81703 жыл бұрын
I guess Im asking the wrong place but does someone know a way to get back into an Instagram account..? I stupidly lost the account password. I appreciate any tips you can give me
@baylortucker18673 жыл бұрын
@Wells Memphis Instablaster =)
@wellsmemphis81703 жыл бұрын
@Baylor Tucker thanks so much for your reply. I got to the site on google and I'm waiting for the hacking stuff atm. Looks like it's gonna take a while so I will reply here later when my account password hopefully is recovered.
@wellsmemphis81703 жыл бұрын
@Baylor Tucker it did the trick and I actually got access to my account again. I'm so happy:D Thanks so much, you saved my ass !
@baylortucker18673 жыл бұрын
@Wells Memphis You are welcome :D
@charlieklz3 жыл бұрын
The slides look too congested but nevertheless the info is top notch
@omegastatistics3 жыл бұрын
Thanks Charlie, and yes, I am working on making my slides ore parsimonious :)
@karannchew25343 жыл бұрын
1:02:01 Cox Regression
@karannchew25343 жыл бұрын
Thanks for sharing. Very useful!
@omegastatistics3 жыл бұрын
You are welcome!
@sefinehfenta42483 жыл бұрын
Thank you
@omegastatistics3 жыл бұрын
You're welcome!
@valor36az3 жыл бұрын
Great webinar
@georgezisis11223 жыл бұрын
OMG!!!!!!!!!!!!!!!!!!! you have no idea how many years of life you saved me. Thanks!
@omegastatistics3 жыл бұрын
Glad to have helped!
@zoiyaehtisham8183 жыл бұрын
Hello, its a very helpful information. I am now stuck in a situation, please can you guide me why my minimum and maximum values are not appearing in constraint section when I type zero and 100 ?
@omegastatistics3 жыл бұрын
Hi Zoya, It is hard for me to know what exactly you are asking and to give an answer without seeing your study/data. I do know that the minimum and maximum options for constraints are only available for when you choose "Linear Regression" as the scale variable model type in the "Method" tab. I hope you were able to figure this out.
@zoiyaehtisham8183 жыл бұрын
@@omegastatistics thank you so much for your reply. I figured it out. my data is large and variables are categorical and ordinal and data is missing not at random as I was experiencing maxmodelparam , after giving the maxmodelparam = desired no an error has occured mentioning Warnings The procedure cannot access a file with the given file specification: imputeddata for keyword IMPUTATIONS of subcommand OUTFILE. The file specification is either syntactically invalid, specifies an invalid drive or directory, specifies a protected directory, specifies a protected file, or specifies a non-sharable file. Execution of this command stops.
@talzabidi15693 жыл бұрын
Hi Dr, thanks so much for your efforts. I would like to ask , is there any conditions we can't use MI to treat missing data?
@omegastatistics3 жыл бұрын
Hello Talal, I am not a Dr., but thanks for thinking so :) The most important is that your data is not MNAR. If your data is MNAR, then imputation and other methods are not going to return good estimates.(read more about missingness and basics of imputation here: www.ncbi.nlm.nih.gov/pmc/articles/PMC2818781/ In this presentation I showed MI using linear regression, which is used for continuous variables. You can also impute nominal variables with logistic regression imputation or discriminant analysis imputation. Here is a link to a paper about imputation of nominal variables: support.sas.com/resources/papers/proceedings/proceedings/sugi30/113-30.pdf
@Silverwing_993 жыл бұрын
great tutorial - i abhor SPSS, wish the practical was in R
@omegastatistics3 жыл бұрын
Yes, we all have our favorites :) I am glad you still found the information useful. Here is a nice tutorial in R: data.library.virginia.edu/getting-started-with-multiple-imputation-in-r/
@SereniTy_Corner3 жыл бұрын
Please what ad-on do I need in SPSS to be able to perform Multiple imputation. Can't seem to find it in 'analyze'. Also, how do I add it to what I already have?
@omegastatistics3 жыл бұрын
Please check with IBM regarding obtaining a license for the Missing Values add-on and adding it to what you have.
@estat21273 жыл бұрын
Thanks so much, Elaine E.!
@omegastatistics3 жыл бұрын
You are so welcome!
@estat21273 жыл бұрын
helpful thanks!
@omegastatistics3 жыл бұрын
Glad it was useful Black Hero!
@qimeng98003 жыл бұрын
Thanks for this wonderful video! May I ask you a question that how could I get or deal with the not-showed pooled p、F SD values when I do the t-test/regression analysis?
@omegastatistics3 жыл бұрын
Hi Qi, I am not sure exactly what you are asking. I know SPSS doesn't give pooled stats for many things, so if you are asking how to pool the standard deviations etc. Then you can start by checking out this link: stats.stackexchange.com/questions/460238/creating-a-pooled-data-set-from-multiple-imputation-output-in-spss
@lidiabezerra323 жыл бұрын
Hey, I loved this video. Please, i would like to know some references in the literature which approaches this issue
@omegastatistics3 жыл бұрын
Hi Lidia, Here is a link to start with. There are many references at the end which you can check out too: www.bmj.com/content/338/bmj.b2393#:~:text=Multiple%20imputation%20is%20a%20general,obtained%20from%20each%20of%20them.
@datascientist29584 жыл бұрын
How can we extract pooled imputed data set from SPSS?
@omegastatistics3 жыл бұрын
Check into Rubins Rule: www.ncbi.nlm.nih.gov/pmc/articles/PMC2727536/
@kennethkoma77624 жыл бұрын
Hi im trying to impute this data and it has lot of NAs and i cant remove the NAs because there are a lot. so when i run the mice code i get this error: Error in solve.default(xtx + diag(pen)) : system is computationally singular: reciprocal condition number = 3.35108e-20. any idea how to handle this kinda problems.
@omegastatistics3 жыл бұрын
Hi Collins you will need to remove the NAs otherwise the program will think you have string variables, and imputation works on numeric variable. If there is a way you can put your dataset into Excel, then you can do a search for the NAs by clicking on the arrow by "Find and Select" then "Replace" then under the Find What: type NA (Type it exactly like it is in the data) and then in the Replace with: hit the space key. This will erase all of your NA's. Be sure to make a backup of the file before trying this in case things go awry. Hope this helps
@kennethkoma77623 жыл бұрын
@@omegastatistics thanks will do
@davidngmenbelle69364 жыл бұрын
Great
@omegastatistics3 жыл бұрын
Thank you Daivd!
@bethanyhendriks45964 жыл бұрын
Can somebody please help, I have a very large data set, when I try to run the impute I get a error message come up on my output which says "contains more than 100 parameters, no missing values will be imputed" Please help
@omegastatistics4 жыл бұрын
Hi Bethany, Here is a link to IBM with info on what you can check. I would check the level of measurement for your variables in the Variable View of your dataset first, then go from there. www.ibm.com/support/pages/multiple-imputation-warning-model-contains-more-100-parameters
@gracexu6024 жыл бұрын
Great presentation. I have a question. I am analysing longitudinal surveys (3 time points: T1, 2, 3) by using a few scales. I need to compute one of the scales as some questions are negative questions. Then I need to sum each scale at each time points before I ran a post hoc analysis. Due to some missing data with one time point (either T2 or T3), I plan to ran imputation. I want to know if I should impute the original survey results only. Or I should impute all the variables include computed data and sum of each scale.
@omegastatistics4 жыл бұрын
Hi Grace, Typically you will impute your data before you run your tests. But of course, make sure your data is nice and clean first, i.e no strange numbers that shouldn't be there, like an age of 200 or things like that.
@gracexu6024 жыл бұрын
@@omegastatistics Hi Omega, thanks for prompt reply.
@luanafantini63664 жыл бұрын
It was very clear. Thank you!
@omegastatistics4 жыл бұрын
You're welcome!
@olegstupak76874 жыл бұрын
It would be interesting to see more theory behind the procedures. Also, the lecture is inconsistent with the literature in some places.
@omegastatistics4 жыл бұрын
Hi Oleg. I know it would be nice, but I am an applied statistician by trade, so although I've been taught the theory, my expertise is in the work. In most of my presentations I provide references that are often more theory based. As for being inconsistent with the literature, things like restraining the limits etc. I wanted to show that it could be done. Many studies are not like the textbooks, not as pretty, and sometimes it is necessary to relax assumptions or allow for limitations. I hope you still enjoyed the presentation.
@oscarbecerril83434 жыл бұрын
Thank you for sharing, kind Lady.
@omegastatistics4 жыл бұрын
Thanks for watching Oscar!
@hossamfayed2534 жыл бұрын
Excellent and clear. Special thanks for making it publicly available to everyone, much appreciated!
@omegastatistics4 жыл бұрын
You're very welcome!
@erint.49174 жыл бұрын
Very nicely presented and easy to understand -- thank you!
@omegastatistics4 жыл бұрын
Glad you enjoyed it!
@aniceuo4 жыл бұрын
Great presentation - I have a question as it concerns some data I need to analyze. Can this analysis be used for non time events? I have data for an animals withdrawal response based on pressure applied and it includes animals who would have not responded to maximum pressure applied. Also one objective would be to determine if there is a difference in withdrawal response between animals who got the disease and those that didnt get the disease. Thanks
@omegastatistics4 жыл бұрын
Hi Anice, If time isn't a factor then check into other regression models. Is withdrawal response yes/no? Or is it numerical? If it is yes/no then try logistic regression. Numerical, try linear regression.
@aniceuo4 жыл бұрын
@@omegastatistics Thanks for your help!
@rjohnson01864 жыл бұрын
Really well done! Really practical. Thank you so much!
@omegastatistics4 жыл бұрын
Thanks Matt, it is one of my favorites :)
@janinajochim18434 жыл бұрын
This video is AMAZING!
@omegastatistics4 жыл бұрын
Thanks Janina, It is one of my favorites too :)
@janinajochim18434 жыл бұрын
It is SO well explained! I have been wondering if the data I have lends itself to using a cox hazard model. I have access to cross-sectional data of 1.000 adolescent mothers who have been asked "How long did you continue going to school when you found our you were pregnant?" answers have been given in weeks. I was hoping to use this model with "Discontinue vs. Continue" as an outcome and weeks as the time variable. I understand it's not ideal to ask participants retrospectively but I am wondering how much of a barrier it is for me to use this method! I am not sure what else to do with the data otherwise ... THANKS!
@omegastatistics4 жыл бұрын
@@janinajochim1843 sounds like you could use Cox regression with the event being "discontinued" and it could be time in weeks. They would be "entered" at the time they found out they were pregnant and timed until they dropped out. If you want to reach out to me via email with your data and questions we could schedule a half hour to discuss your study. And I am always available for hire if you need more help :). My email is [email protected].
@omegastatistics4 жыл бұрын
@@janinajochim1843 I tried to send a response but it looks like it didn't go through....Yes, it sounds like Cox regression would work. You would enter them into the study at the time they found out they were pregnant and then your event would be "discontinued school". I wish you the best!
@janinajochim18434 жыл бұрын
@@omegastatistics This sounds wonderful! Thank you!
@dr.shahbazhanifal-haniffou87255 жыл бұрын
Thank you so much for uploading such a nice lecture....learned a lot of useful stuff : )
@omegastatistics5 жыл бұрын
You're welcome!
@muhammadivan15223 жыл бұрын
You all prolly dont give a shit but does any of you know of a trick to get back into an Instagram account..? I was stupid forgot my account password. I appreciate any assistance you can offer me.
@kendrickcolin66233 жыл бұрын
@Muhammad Ivan instablaster ;)
@muhammadivan15223 жыл бұрын
@Kendrick Colin thanks so much for your reply. I found the site through google and Im in the hacking process atm. Looks like it's gonna take a while so I will reply here later with my results.
@muhammadivan15223 жыл бұрын
@Kendrick Colin It did the trick and I finally got access to my account again. I'm so happy! Thank you so much, you saved my ass !
@Shravan12310005 жыл бұрын
Please upload webinar on reliability
@omegastatistics5 жыл бұрын
The reliability webinar is live on 9/26/19 and should be uploaded about a week later. If you'd like to attend the live event it is free and you can sign up at register.gotowebinar.com/register/560587502367872269
@20jakubukaj085 жыл бұрын
Another question: what is the pooling method that is employed in SPSS to aggregate the imputed results? Is this just the mean of the 5 regression coefficients, for example?
@omegastatistics5 жыл бұрын
Look at slide 34 in the presentation at this link I think this may help. rmc.ehe.osu.edu/files/2018/02/0.0-Workshop_missing-data-with-SPSS_Finalaudience.pdf
@20jakubukaj085 жыл бұрын
Thank you very much for this useful and clear presentation. I have a question: one thing that you repeat a number of times in the presentation is that you cannot tell if your data are MAR or MNAR. It seems to me that if you find a correlation between missingness in one variable and another manifest variable (i.e. a variable for which you have observed data), then the data is certainly MNAR. Or perhaps I have misunderstood what you meant?
@omegastatistics5 жыл бұрын
Correlations can be spurious, and caused more by a latent variable. What I meant by not knowing for sure, is that you really don't typically know for sure why something is missing because in many cases you can't go back to ask the respondent or data source what happened. Of course if you know something is systematic then you know. But often you won't know for sure.
@milyyybarrrr92165 жыл бұрын
I also would like to see colaboration during my research work....
@guesswhatteapots5 жыл бұрын
Thank you!
@bevansmith32105 жыл бұрын
Thank you for the video. Could you kindly respond to this question? For future analyses, which imputed dataset do we use? I know we are meant to use the pooled data, but that means you need to use all 5 imputed datasets each time you want to measure something (mse, regression, etc.) . But what if you just want to impute the missing values and end up with ONE dataset for future use? Thank you, Bevan
@omegastatistics5 жыл бұрын
Hello Bevan, Please look at Dr. Kumar's response on this link: www.researchgate.net/post/How_can_one_create_a_pooled_dataset_in_SPSS_for_further_analysis There is a part where he states to pool the 5 imputed variables by summing: V1+V2+v3+V4+V5 for instance. However he forgot to say to divide the sum by the number of imputations, in this case 5. So basically you can take the average of the imputed values to derive the pooled values. I am not sure if SPSS now gives pooled standard deviations, and so you may have to do some averaging with standard deviations and standard errors too.
@fazlfazl23465 жыл бұрын
Now I know what I really needed to know!! Thanks.
@omegastatistics5 жыл бұрын
Glad you found it useful!
@simonthorogood1345 жыл бұрын
Thank you, I found this very useful. Where can I find a copy of the slides?
@omegastatistics5 жыл бұрын
If you would like slides for any of the presentations please email me at [email protected] and if I have them I will email them to you. Remember to let me know which presentation you need the slides for :)