SAS is a proprietary cross-platform general-purpose statistical software package. [Official Website](http://www.sas.com/index.html)

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Intercept in random effects mixed model no longer significant

When I add a categorical fixed effect to my mixed model (with one random effect and three continuous fixed effects) the intercept is no longer statistically significant. Does this mean that the newly ...
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6 views

How to interpret change in intercept when a random effect is added to a mixed model

I have a fixed effect model, constructed in SAS using Proc Mixed as: proc mixed data= etc...; model ca = p t s /solution; run; which yields the following ...
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2answers
39 views

Does clustering need scalar data?

I am trying to cluster 43,000 individuals on about 50 variables. The data contained in the variables are minutes of a radio shows which people listened to in the range of 0 - 3,000,000 minutes. My ...
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13 views

SAS does not recognize continuous variables [migrated]

I have imported a dataset from excel and I want to run a logistic regression, but SAS does not recognized continuous variables. That is the code I used: ...
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14 views

Propensity score matching with large data

I have a large healthcare claims database with 1.6 million subjects and I'm interested in doing a cohort study with propensity score matching. I have produced my propensity score with a logistic ...
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26 views

Enterprise Use of SAS & SPSS and Impact of Open Source Platforms (R & Python) [duplicate]

I'm curious to hear from people that use SAS & SPSS why a lot of the Fortune 100/500 enterprises still use SAS & SPSS despite the high cost of the license. Also would love to understand what ...
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3 views

How to Use proc surveyselect to randomly select sample while a variable need to remain the same mean? [migrated]

I have trouble with using proc surveyselect to randomly select sample from a population. Here is the scenario: I have a sample pool, say, 1000 observations, with variable ID, gender, income. My goal ...
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14 views

How does NLMIXED estimate random effect for a 2-part (hurdle) model?

I am not a big SAS user, so this may be a naive question. I am using the NLMIXED procedure to estimate a random effects 2-part (hurdle) model, similar to as described here but with random effects for ...
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2answers
96 views

What exactly is Box-Jenkins method for ARIMA process

The Wikipedia page says that Box Jenkins is a method of fitting an ARIMA model to a time series. Now, if I want to fit an ARIMA model to a time series, I will open up SAS, call proc ARIMA , supply the ...
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1answer
43 views

Statistical test for multiple comparison of groups of animals with Yes or No outcome

In my experiment (pre-clinical vaccine testing) I want to know what kind of statistical test to be used to compare between 9 groups of animals (72 animals randomly divided into 9 groups). Each group ...
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1answer
20 views

Is testing for endogeneity necessary?

I was wondering if testing for endogeneity is necessary when doing an OLS multiple regression. Similarly, is testing for autocorrelation necessary if there is no time series data? Is testing for ...
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66 views

Should fixed effect dummies be included in multicollinearity diagnostics (VIF calculations) for regression?

I am currently in the progress of performing multicollinearity diagnostics for a logistic regression model using tolerance and VIF calculations based on recommendations in Allison (2012) (Logistic ...
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9 views

post hoc nested

Hy, need to do post hoc test for nested factor in SAS. I have two factors, A and B with B nested within A and I want to perform post hoc test in GLM in SAS. Is it possible? Stevan
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13 views

Genetic algorithm for factor selection

I'm planning to implement analysis of variance for different levels of factors, the problem is that I have 20 independent factors. Of course, the best model should include only significant factors. Is ...
2
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44 views

Statistical Analysis of a set of numbers to predict final outcome

Suppose I have a collection of sets of numbers, lets say that each set has twenty five numbers in it (one for each day in a twenty five day period). Lets say I have 200 of these sets. Are there any ...
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12 views

Use of Proc Mixed to find if product version has effect of its sales

I would like to confirm what I am doing is correct or not. I have the following data: Day Units sold (Var = Units) Number of stores in which the product was sold (var = stores) Version of the ...
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20 views

Semi partial correlation importance variables

I have some SAS code that is used to calculate the importance of variables using semi-partial correlations: ...
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30 views

GLIMMIX convergence problems with ordinal model

I am analyzing a longitudinal data set about hearing loss which has 226 subjects with repeated measures each one (with a maximum of 12 observations per subject) over a follow up time of 22.2 years. I ...
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48 views

AIC rankings: Why would a global model rank lower than an intercept-only model?

I'm working with some real-world (i.e. potentially messy) data on the nesting ecology of several bird species. I'm attempting to relate the daily survival rate of nests to vegetation characteristics ...
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56 views

Split-split plot design (with replicates) with repeated measures

I'm looking for references that can guide me with regard to the analysis of a split-split plot design (with replicates) that also has repeated measures over time. Ultimately, I need to be able to: ...
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12 views

MLE estimation on SAS using NLPNRA

I am required to write a function which works out the MLE for mean and standard deviation of a normal using SAS using NLPNRA command for a given set of data. On R, this is straightforward, it just ...
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41 views

different definition of compound symmetry in SAS

I have two questions about the covariance structure in SAS (proc mixed). I realize the compound symmetry structure in SAS allows the covariance term to be negative. This is different from the ...
3
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1answer
35 views

Selecting variables using SAS and R - all effects are significant even when shuffling the data

Dear all: I need to test which effects I should include in my model for genetic evaluation of cows. I was using the following code in R: ...
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1answer
21 views

identify nature of missingness for categorical variables

could you please give me some hints for identifying the nature of missingness for categorical variables' missing value? I mean, I gave a fast search on google scholar but I didn't find anything ...
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78 views

Survival Analysis on Telecom Churn in R

I am working on Telecom Churn problem and here is my dataset. http://www.sgi.com/tech/mlc/db/churn.data Names - http://www.sgi.com/tech/mlc/db/churn.names I'm new to survival analysis.Given the ...
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7 views

how do i differentiate between alternative specific and alternative invariants using sas?

Okay so my level of expertise in statistics is fresher/rookie. I am trying to predict the the outcome of categorical choices for a product category y (3 choices or 3 flavors of cereal for example). ...
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17 views

Yule-Walker in SAS

My professor claims that I can implement a Yule-Walker transformation by simply typing in y = x / nlag = 1 method = yw; This always crashes when I run this code. If anybody has a simple one line ...
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194 views

Inconsistency between R and SAS for MLE on Weibull

I have the following data Y which I want to get an MLE estimate for the parameters using a Weibull distribution in R. 1468, 1872, 475, 1372, 3830, 1849, 978, ...
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18 views

PROC LCA fail to calculate standard error

I am using PROC LCA in SAS to run latent class analysis on a dataset with 20 binary variables. However, I got such warnings: WARNING: The information matrix could not be inverted during standard ...
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1answer
33 views

Is standardisation and normalisation of data required before clustering when I have only 1 variable?

I have a data with only 1 variable. I need to use K-means clustering on it. Do I need to apply normalisation and/or standardisation on the data?
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13 views

Prior Probabilities vs Sampling

In case i have a dataset which has 100000 records and only 10000 of them represent Churn cases. Hence before building a predictive model i set a prior probability as 10% for CHURN and 90% for NON ...
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88 views

variable error on logistic regression/ proc catmod- Building predictive model

I am using logistic regression to fit a model with categorical/multinomial varaibles. data-description: There are over 300 variables as independent variables, sample size is 5000 which is divided into ...
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2answers
235 views

From SAS to R - what are “must” packages for reporting

One big advantage of SAS over R is arguably its ability to produce quite complex reports with few statements; think of PROC SUMMARY or ...
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45 views

Risk Ratio (or Prevalence Ratio) in SAS Proc Glimmix

Is it possible to obtain risk ratio in proc glimmix. And if yes, how do I specify the base. E.g base 'male' in variable 'gender'. Below is a template of my model: ...
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20 views

using SAS for decision tree

I am quite new to SAS. I wanted to figure out how we can use Test dataset and Train dataset seperately. As of now i was dividing the existing dataset into Training and Test dataset. My requirement is ...
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15 views

Why is the R-Square of PROC CALIS a period

I am running PROC CALIS on some data and everything seems to work correctly, except the R-Square table has a . (period) for the R-Square of one of the measured dependent variables. Why would this be? ...
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24 views

Proc Mixed for a random slopes model - contrast the slopes?

I have a need to make predictions about a set of students $^1$ who are nested under teachers, under schools, under districts. I have produced the below model, and I now wish to do some forecasting at ...
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39 views

Top coding: Replace outliers by the value of the mean +/- 6 times the standard deviation in SAS

I'm wondering if anyone can give me some help with this.. I'd like to perform a cluster analysis and this method is very sensitive to outliers. Therefore, top coding is used in similar research: ...
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18 views

Is there a SAS equivalent for JMP's life distribution?

I have a work flow where I use SAS to pull and prepare my data into censored data, and then open the SAS dataset in JMP and perform a life distribution analysis on the data. More often than not I use ...
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38 views

Possible to code contrasts comparing each level to grand mean with no reference category?

I'm working on a health care outcome regression model using the deviation contrast scheme described on the UCLA SAS help page here for a collection of dichotomous predictor variables measuring medical ...
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22 views

What are the right values for the prior mean and prior variance matrix in choice design?

I am doing my first choice experiment with JMP & the tutorial I found at http://blogs.sas.com/content/jmp/2009/01/15/optimal-design-of-the-choice-experiment/ Right now I am not sure if I ...
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1answer
80 views

Multicollinearity among categorical variables - Is it normal?

I'm building a logistic regression model in which almost all of the input variables are categorical. There are multiple sets of categorical variables, for example, day of the week, age range buckets, ...
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1answer
21 views

Confidence interval from summaries in JMP

If i only have mean, std dev. and number of observations is it then possible to generate af 95% confidence interval or a Chi squared test in JMP using only these summaries as input?
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113 views
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161 views

Writing a coordinate descent algorithm for elastic net in SAS

In order to run Lasso and elastic net multiple regressions on my company's SAS server (which doesn't support R), I've been working on a coordinate descent macro for performing least squares ...
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10 views

Product Lifecyle Prediction using Survival Model

The project objective which I have is to come up with a model which would help forecast products which are close to the end of their lifecyle and need to be replaced. I was thinking whether this could ...
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46 views

Bagging in sas enterprise miner

I want to build a scorecard using logistic regression in sas enterprise miner. As I understand bagging will create subsets of my training data which in turn leads to more robust coefficients ...
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1answer
18 views

Testing GLIMMIX assumptions

I am currently doing GLIMMIX models in SAS. I choosed GLIMMIX as my data is count data, generally well described by a Poisson distribution. My question: What assumptions can you test to ensure that ...
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2answers
101 views

what does it mean when out of sample AUC is greater than in sample AUC?

I am fitting a logistic regression model on a data set with about 200,000 observation and 100 features. According to SAS output, the model converged correctly with an in-sample AUC of 0.85. However, ...
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4answers
654 views

How useful is Minitab in the real world? [closed]

I am currently a statistics student within a very good program. We use Minitab for a variety of items/classes. But, as my undergrad taught me, what you use in school isn't necessarily what is used in ...