Mixed effects model or Generalized Estimating Equations (GEE)?

Which of the two statistical techniques - mixed model or GEE - is preferable to analyze repeated data, and why? Cheers, Berhanu

06 July 2018 8,770 7 View

While preparing a manuscript of academic research for publication, is it important to keep clinician readers in mind too?

That is it. Forward your brilliant ideas and thoughts! Peace with you all! Berhanu

10 November 2016 2,785 4 View

What are the extra advantages of entering data into Epi-Data instead of directly entering into Statistical Software such as SPSS ?

P/s forward your opinions and ideas in terms of managing the quality of data!

05 June 2016 9,429 5 View

Are there sound & valid scientific evidences for the hypothesis" Satisfied needs and completed tasks are easily forgotten"?

You can also share your personal experiences and anecdotes to prove or disprove the long hypothesized statement! Pleasant time! Berhanu

05 June 2016 8,155 1 View

What is your favorite LIFE and/or HAPPINESS quote ever?

Please share your unforgettable ones!!

04 May 2016 6,218 7 View

Why having one definite definition of Quality of Education is difficult for educators?

Indicators of quality of education are usually inputs, processes and outputs. However, the definition of quality is always controversial and debatable. Why do you think it is so? Cheers, Berhanu

03 April 2016 8,537 5 View

Why top ranked journals do not publish negative findings?

Have you really experienced this! Your observations are welcome!

02 March 2016 3,935 4 View

Is it possible to effectively utilize Randomized Clinical Trial (RCT) design in behavioral sciences research?

I really really need clarity whether we could use RCT in areas such as child development! Eager to hear from U all!!

02 March 2016 1,489 8 View

What are the effective tips to motivate students' statistics course learning?

P/s suggest me some effective techniques to encourage social science students to participate and successfully learn stat course at Masters level!!

31 December 2015 8,335 4 View

What are the dangers of procrastination?

11 December 2015 3,988 2 View

Can NFL theorem be valid in infinite search space in ML?

NFL theorem is valid for algorithms training in fixed training set. However, the general characteristic of algorithms in expanded or open dataset has not been proved yet. Could you show your...

01 March 2021 1,189 3 View

Is there any research regarding how training and development is going to change in the era of Fourth Industrial Revolution?

As the organizations getting prepared for the fourth industrial revolution, to enhance the skills of their workforce what type of changes are necessary and going to occur in the training and...

01 March 2021 3,199 3 View

Which group formation theory do you recommend for projects that aim to bring together entrepreneurs for training for regional development?

I would like to have ideas about which theories of group formation are suitable for entrepreneurial training projects, with the aim of creating bonds, building trust, and collaboration for...

28 February 2021 4,223 2 View

Satellite orbit estimation using Recurrent Neural Network - what should I use?

Hello, I am a master's student studying in Yonsei Univeristy, Korea. I am trying to estimate the state of satellite, using Neural Network. Below is a simple flow of my study. 1. Train (t0 ~ t1)...

23 February 2021 6,383 3 View

Can the problems of overfitting be solved without cross validation?

For an overfit data set the cross validation error will be much bigger than the training error. Is it true or false?

23 February 2021 3,616 2 View

How to assure whether a regression tree overfit or not by seeing bias-variance value of the model?

Lets consider a regression tree in which variance is 1.1065*e-10 and bias is 2.962e-13. Also the model RMSE on training set is 1.5e-5 and on training set is 1.2950e-5. Is the model is overfit or...

22 February 2021 7,755 2 View

In Machine Learning, isn't the problem Out-of-Distribution (OOD) instances really a form of over training?

If (1) the over training manifests itself in failure against instances that are new or excluded from the training set, and if (2) OOD instances are problematic because they are new and by...

18 February 2021 4,839 2 View

Any methods to train a neural network with random (stochastic) and non-measurable variable?

Dear scholars, I was wondering if there are any scientific methods to train a neural network or ANFIS when one of the input variables is stochastic (random) and more importantly non-measurable?...

17 February 2021 1,909 3 View

Can we Use a Dataset having no captions to train an image captioning model?

Actually I want to train a medical image captioning model but the dataset on which I want to train this model does not have captions/reports for the images. So can we use such dataset to train an...

14 February 2021 7,021 2 View

How can I check similarity between two signatures?

I want to train a model that should predict if a given signature is a genuine or a forged one. The model should take two images as input. One is the real signature, and the other is to be...

11 February 2021 4,436 3 View