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

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SAS Enterprise Miner, BINARY versus Interval variable predictors

I am doing a logistic regression in SAS Enterprise Miner, of a response variable with a bunch of predictors. Once of the predictors is age_cat (0/1), age_cat = 1 if (age < something) 0 otherwise. ...
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13 views

Estimating ARIMA models in SAS

I would like to (insert "have to") do some ARIMA modeling in SAS. Normally, I would simply use auto.arima in R and let the function choose the differencing orders and just specify whether to use AICc ...
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8 views

Double Repeated Measures in SAS

Given: main effects A 2 levels urban, rurual F 17 families- 10 urban, 7 rural repeated measures ...
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5 views

Fit statistics and imputed data

I have a general question about pooling fit statistics when using multiple imputations. I am trying to pool the AIC, BIC, G-squared, or log likelihood across 10 imputed data sets. Is it possible to ...
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12 views

can I fix one variable in SAS 'estimate'? [migrated]

In sas "Proc mixed" procedure, can I use 'estimate' for one variable fixed? for example ...
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15 views

Can I compare three averages if no independent variable?

I am not used to this type of data, and am not experienced with statistics so am really getting hung up. This is an undergraduate research project. I have done a total fecal collection on 12 horses. ...
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17 views

Ordinal Logistic Regression using Fractional Polynomials in SAS

I am looking for Case Studies / Examples where Ordinal Logistic Regression Models ( using Fractional Polynomials for Continuous Predictor Variables ) are implemented in SAS ( SAS Macros )
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9 views

How to use the components from PCA in discriminant analysis? [migrated]

Any clue on how to do this in SAS Enterprise Guide?
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6 views

Conjoint Analysis with multiple set of ranked questions

I have performed conjoint analysis in R and SAS with a single ranked set of questions. Now, I am faced with the situation where I am to perform the analysis on multiple sets of ranked questions. ...
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19 views

Holding random effects variance constant in PROC MIXED vs lmer [migrated]

I was wondering if it is possible to hold random effects variances constant in R's lme or ...
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30 views

GLMM with 2 insignificant variables has lower AIC or BIC compared to same model without those variables…?

I am having a hard time understanding what's going on in with my model selection, and why a model with two insignificant variables is getting chosen as the "best model" over a model without those two ...
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1answer
21 views

Mixed model analysis: random vs repeated statement

I have data from a longitudinal parallel groups study where there are 46 subjects randomized to 1 of 5 treatment groups, each subject with roughly 13 observations over time on a given outcome measure. ...
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14 views

how to create customized frequency table in SAS [migrated]

Assume I have a data called orig with variable x and s, s being binary as follows: x s 12 1 3 0 3 0 34 1 12 0 I want to create a new table or data which ...
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1answer
21 views

Mixed-effects model without the random effect in the design?

Is it appropriate to create a mixed-effects model (for example, using SAS Proc Mixed) that specifies a random effect but does not include the random effect in the model itself? I ask because it seems ...
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24 views

Multi-Level within factors in repeated measures ANOVA in SAS

This is a brief sketch of design containing both within and between subject factors. There are two groups. (each 10 subjects). Each subject responded many (over 600) trials. The trials are one of ...
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9 views

SAS Fisher test p values for large sample sizes [migrated]

I'm trying to calculate some odds ratios and significance forsomething that can be out into a 2x2 table. The problem is the Fisher test in Sas is taking a long time. I already have the cell counts. ...
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1answer
19 views

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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8 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
45 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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20 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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20 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
137 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
68 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
23 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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92 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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13 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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15 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 ...
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48 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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16 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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22 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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40 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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58 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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70 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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15 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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47 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 ...
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1answer
41 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
26 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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119 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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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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18 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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3answers
252 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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22 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
43 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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18 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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134 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
253 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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1answer
53 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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26 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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17 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? ...