Validation is the process of assessing whether the results of an analysis are likely to hold outside of the original research setting. DO NOT use this tag for discussing `validity` of a measurement or instrument -- such as that it measures what it purports to.

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567 views

Validation of logistic regression - goodness of fit (pearson)

I have developed a scoring system using logistic regression. The score ranges between 0 and 6 (using integers) and predicts death. It does not use a conventional regression formula and thus I am not ...
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1answer
87 views

Is a different CV arrangement the same as a validation set?

I have a smallish dataset ~ 1500 rows X 500 columns. I've been using a standard 5 fold CV setup where row 1 = CV set1, row2 = CV set2, ... row 6 = CV set1,etc. I'm at the point where I'm trying to ...
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1answer
60 views

Resources for developing prognostic index-scores

I am looking for online resources or books explaining how to develop prognostic indexes-scores step by step. I am mainly wondering about model validation and transformation of regression coefficients ...
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1answer
1k views

Diagnostic plots for lmer

I am trying to produce a glmm using the lme4 package in R. To validate my model I would like to produce some diagnostic plots ...
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1answer
844 views

Validity of pseudo-panel data constructed from repeated cross sectional data as a panel data

I am looking at the repeated cross-sectional data from federal reserves, which has both panel data and repeated cross sectional data at different time-points,e.g. 2007-2009 is a panel while 2010 is a ...
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1answer
3k views

What is the meaning of orthogonal in validation testing?

I have heard the term "orthogonal * validation" used recently. It was used in the context of experimental platform testing. What does this mean? I cannot find anything on it in literature or ...
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2answers
784 views

What are acceptable validation or cross validation error rates?

Is there a commonly acceptable error rate for validation? As in, if the error rate is less than X %, then my machine learning method would be considered "successful". I'm looking for something ...
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0answers
121 views

Intraclass correlation to validate a measure

I would like to understand whether the output of an algorithm I developed agrees with the ratings of external observers. The number of observers is 10 and each of them rated on 2 3-point-Likert items ...
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1answer
624 views

Validation of a linear regression model using R

I have created a multiple linear regression model with R using lm and glm. I am using lm on ...
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515 views

Method to output statistical score when validating using bootstrap method on ordinal logistic regression model

It is about sas programming. Thank you in advance. I build an ordinal logistic regression model on my data. ...
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1answer
673 views

How to select validation data when training a neural network?

I am training a neural network with time dependent financial data. In order to avoid overfitting I would like to stop the training at the point where my neural network stops improving on a set of ...
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1answer
78 views

Bayesian $\chi^2$ discrepancy

We define the $\chi^2$ discrepancy as $$T(y,\theta)=\sum_i\frac{(y_i-E(y_i|\theta))^2}{\mathrm{var}(y_i|\theta)}$$ (definition from Gelman). How do we apply this if $\theta$ is a random variable, and ...
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0answers
107 views

Validation of Bayesian hierarchical model [duplicate]

Possible Duplicate: Validation techniques for hierarchical model I already posted this to Math.SE, but I realized this would probably be a better place to post to. I have a hierarchical ...
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2answers
2k views

What is the procedure for “bootstrap validation” (a.k.a. “resampling cross-validation”)?

"Bootstrap validation"/"resampling cross-validation" is new to me, but was discussed by the answer to this question. I gather it involves 2 types of data: the real data and simulated data, where a ...
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1answer
2k views

Model validation after fitting a negative binomial GLM in R

Ok, I have searched and searched and just have no clue where to start. First, what I would like to do is produce a QQ-plot (or even a readable residual plot) to look at the fit of my model. I guess ...
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3answers
758 views

Back propagation neural network data input advice

I am currently doing a project which involves pothole detection and neural networks. So far, I have an Android phone that reads Accelerometer readings and writes the X,Y,Z Axis aswell as the Amplitude ...
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4answers
525 views

Statistical tests to do data quality checks

I want to identify bad responses in the data we get from our vendors. To assess the quality of the data, what statistical tests can i apply to identify bad respondents? I performed Discriminant ...
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2answers
3k views

How to draw valid conclusions from “big data”?

"Big data" is everywhere in the media. Everybody says that "big data" is the big thing for 2012, e.g. KDNuggets poll on hot topics for 2012. However, I have deep concerns here. With big data, ...
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0answers
49 views

Validating previous analysis with new data

I am interested in trying to validate some results from a previous experiment. The experiment involves selecting probes of interest that separate our two populations of interest, e.g. smoker vs. ...
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1answer
285 views

What is a good academic citation for cross-validation?

I performed a holdout cross-validation analysis on a multilevel model fit. The purpose of this was to show that we didn't have a problem with over-fitting, for which it worked just fine. Now we are ...
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1answer
114 views

What do you do with your testing data?

Suppose you perform a parameter selection study in an environment with not-so-many data points. You divide the available data into training and testing set and you plan to validate the future model on ...
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1answer
257 views

Name of mean absolute error analogue to Brier score?

Yesterday's question Determine accuracy of model which estimates probability of event got me curious about probability scoring. The Brier score $$\frac{1}{N}\sum\limits _{i=1}^{N}(prediction_i - ...
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2answers
426 views

Logistic regression performs better on validation data

Recently I've been building a model using logistic regression. To my suprisise LIFT chart looks better on the validation data than on the training data, the same is with ROC. All variables in the ...
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0answers
96 views

Validation of data partitioning

I've some numerical sequence of data monitored over time $v(i)$, which belongs to one of two classes, 0 or 1. I monitor the variable several times, obtaining a sequence associated to 0 or 1. I use ...
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5answers
26k views

What is the difference between test set and validation set?

I found this confusing when I use the neural network toolbox in Matlab. It divided the raw data set into three parts: training set validation set test set I notice in many training or learning ...
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1answer
350 views

Compare modeled (fitted) paired data to actual data in forecasting problem (Excel sheet included)

In my endeavor to learn forecasting and improve my statistical knowledge, I've decided to forecast the population of a certain area. I've attached the excel file that I used. I know I'm using excel ...
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1answer
118 views

Difference between Step validation and Cross validation

I'm trying to model some chemical data from a series of spectra. I've gone through the preprocessing step and selected "autoscale" (I'm using Pirouette). And when it comes to validation I'm a little ...
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1answer
455 views

Why are most standard goodness of fit tests based only on continuous distributions?

I tried to search info regarding this fact but I don't really understand why most of the standard goodness of fit tests (e.g. Kolmogorov-Smirnov, Anderson-Darling, a part of the Chi-square test, ...
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1answer
1k views

Best practices for measuring and avoiding overfitting?

I am developing automated trading systems for the stock market. The big challenge has been overfitting. Can your recommend some resources describing methods for measuring and avoiding overfitting? I ...
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1answer
409 views

Validating a predicted standard deviation

I would like to validate the standard deviation which a model reports, because I think it is underestimated, because in the procedure some model selection is involved. After running the model on a ...
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4answers
509 views

As a reviewer, can I justify requesting data and code be made available even if the journal does not?

As science must be reproducible, by definition, there is increasing recognition that data and code are an essential component of the reproduciblity, as discussed by the Yale Roundtable for data and ...
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1answer
799 views

Weight variables for predictive model

I received a question today that I wasn't exactly sure how to answer. I have built a predictive model using a fairly basic logistic regression that works pretty well and fits our business needs. ...
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1answer
751 views

How to plot AIC values when using the leaps package?

Does anybody know how to plot all AIC values for different size models, when using the command regsubsets from the package ...
3
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1answer
688 views

How to choose training and test sets

I would like to propose a single model (decision tree), that is very variable, and validate it. I have choosen parameters after I had obtained good quality measures with a cross-validation. I could ...
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2answers
960 views

Variance explained of a mixed effects model in a new data set

I'm using the following function to calculate Edwards R^2 (formula 19 in Edwards et al. 2008) of a mixed effects model (I hope the implementation is correct): ...
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1answer
216 views

Validating a paper questionnaire in a web-based format

I would like to validate a commonly used questionnaire for internet-based administration. What statistical tests should I be using?
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163 views

Minimal number of samples/conversions for statistical validity

We are measuring conversion rates (% of visitors who bought) on an e-commerce site. The test apply to a segment of visitors who meet specific criteria (for example people from a certain country). ...
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2answers
5k views

How to make representative sample set from a large overall dataset?

What are the statistical techniques to create a sample set, which is representative of the entire population (with a known confidence level)? Also, How to validate, if the sample fits the overall ...
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3answers
2k views

What is a consistency check?

I was asked such a question as "Did you do any consistency check in your daily work?" during a phone interview for a Biostatistician position. I don't know what to answer. Any information is ...
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1answer
210 views

What resources/methods exist for testing/validation or evaluation of Statistical Methods

I'm interested in the process of testing or validating a particular implementation of a statistical method, and what datasets and/or published analysis exist that could be used to do this in practice. ...