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

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Relative risk estimation by Poisson regression with robust error variance

To estimate RRs for binary outcomes, sometimes the Poisson regression can be used. Specially in epidemiology, when the incidence rate of the binary outcome variable is above 10%, then it's necessary ...
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9 views

SAS: choosing the right model

I'm getting a bit lost in alle the possible ways to find association... I have a dataset in which my subjects are categorized 1, 2 or 3 (depending on genotype polymorphisms). I want to know the ...
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1answer
32 views

Is imputation needed for $0$'s in regression?

I am working on a dataset of 2000 records using SAS Enterprise Miner in order to predict insurance payment (compensation) from insurer, a motor insurance company, to its customers. Though there are no ...
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1answer
34 views

Is there an Equivalent of “proc surveylogistic” in R?

A colleague told me about "proc surveylogistic" in SAS -- see details here -- is there an equivalent function in R?
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13 views

code for the fixed effect (conditional) and the random effect model in SAS using panel data and a logistic+multinomial logistic model [closed]

With respect, I am using a panel data for my thesis and I am Using SAS 9.4 for the analysis. I was wondering if I could have the chance for your advice relative to writing the codes for the model in ...
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36 views

New data mining models that R can do but SAS cannot? [closed]

I'm going to give a talk on R and SAS to a group of SAS experts from industries, who are interested in frontiers of researches in data mining models and reasons why R is preferred by researchers. I'm ...
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25 views

How to compute effect size for Friedman's test?

I was looking for a way to compute the effect size for Friedman's test, but could not find any reference. I wanted to see if there is any difference between the groups and what its size was. I have ...
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16 views

Heteroskedasticity consistent SEs with Proc ROBUSTREG in SAS

We are using the Proc ROBUSTREG command in SAS to down-weight the influence of the outliers (mainly in the Y-direction). Furthermore, we wish to use heteroskedasticity consistent SEs and standardized ...
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2answers
33 views

How to fit nonparametric mixtures of regression models in a statistical program?

I am interested in estimating a nonparametric finite mixture regression model, explained for example here: https://methodology.psu.edu/media/techreports/09-93.pdf But I don't know with which program ...
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29 views

PROC ROBUSTREG or PROC NLMIXED in SAS, to down-weight effects of non-normality and outliers

We are conducting an OLS regression in SAS. We have performed all diagnostic tests and concluded that there is non-normality in the residuals, influential outliers and heteroskedasticity. We would now ...
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12 views

Is the offset_column parameter in H20's random forest algorithm the same as the offset option in SAS Proc Logistic?

I am trying to use H2O in R to run a random forest. http://docs.h2o.ai/h2oclassic/Ruser/rtutorial.html In the documentation, I saw that there is an option for an offset parameter but I cannot find ...
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2answers
41 views

Calculate an area under a curve with SAS

I have 2 vectors $x=(1,2,3,4,5)$ and $y=(0,1,5,3,1)$ for example. Is it possible to calculate the area under the curve $C_f$ ($f(x)=y$), using linear estimation for example, with SAS?
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1answer
26 views

Hazard ratio with confindence interval for dummy variable

I have covariate Length which is 1 or 0, I'd like to get an estimate with confidence interval for hazard ratio of having an event when ...
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1answer
53 views

good practice for cluster analysis [closed]

I want to find out what are the best practice in conducting a reliable cluster analysis: Outliers: Is it necessary or not to remove the outliers in the variables to be used for cluster analysis? ...
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0answers
19 views

Use of weights in PROC GLIMMIX

I am looking to implement a generalised linear mixed model in SAS using PROC GLIMMIX. The data is from a survey, and a single ...
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15 views

What is the method to find difference in mean of test and control population where data were collected for a marketing campaign?

What is the method to find difference in the response rate of test and control populations in SAS where data were collected for a marketing campaign? (10-20% were control, and the rest were the test ...
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26 views

White test confirms heteroskedasticity while Breusch-Pagan test doesn't [duplicate]

I'm using SAS in order to create a model for a cars datasets. The response variable y, is the price of the car. By the way I'm using the PROC MODEL statement in order to check heteroskedasticity. This ...
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13 views

In SAS' PROC LOGISTIC why aren't the coefficients consistent with the odds ratios?

Now before you point me to it, I've already read it: In PROC LOGISTIC why aren't the coefficients consistent with the odds ratios? Data used in this example accessed here as SPSS .sav; can be ...
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49 views

Convert SAS syntax for mixed models for repeated measures in R

I want to attain a p-value in R using lme4 or nlme which has been obtained from mixed models (...
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0answers
17 views

Convert SAS syntax for mixed models for repeated measures in R

I want to attain a p-value in R using lme4 or nlme which has been obtained from mixed models (...
1
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0answers
22 views

Is there a minimum event rate required for the gradient boosting to work?

I am trying to run gradient boosting in enterprise miner on a dataset which has event rate of about 2% and sample size is about 1m. It fails to produce any output. Which makes me think, is there a ...
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23 views

Could some one please explain the difference between Decay, Lag and Adstock?

I'm working on creating a market mix model and read that it is necessary to create additional variables to account for the lag and decay/adstock effect. Could someone explain how to create those ...
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1answer
61 views

How to make a model for the given data in sas?

I have a nonlinear model: $$r10^{\beta_0-\beta_1A-\beta_2B-\beta_4D-\beta_{2,4}BD} $$. I used sas to test different models. Here is the code: ...
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9 views

Using results from spline estimation in cox model

Is it possible to incorporate the results from estimating splines into a logistic or proportional hazards model? That is, I'd like to try to use the spline function as a weight for my exposure ...
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29 views

Which Method of Factor Extraction is Preferable With Communality Greater than 1.0?

I am trying to perform Exploratory Factor Analysis using SAS's proc factor with priors=smc, but am not sure which factor ...
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17 views

Proc Mixed for repeated measures design, 3 within-subject factors (sas)

we have an experiment with 3 within-subject factors: SOA(4 levels), Congruency (2 levels) and Visibility Rating (4 levels). RT is our dependent variable. Because we receive Visibility Rating score ...
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9 views

Analysis of repeated measure on same individual with mixed model

In our study we were have collected data from 150 subjects every month (12 times) from each person on food intake and sleeping duration at night. We were interested to assess whether i) there is ...
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141 views

Which is the best method for network meta-analysis?

There are now several different approaches to perform network meta-analysis. The most commonly used and accessible ones are probably the following: frequentist network meta-analysis with ...
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30 views

implications of poor model fit in survival analysis

Can a survival analysis model with poor model fit still be useful in reporting? I have set up a time-varying survival analysis model (Cox regression in SAS), and have found it to have poor model fit. ...
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1answer
44 views

Paired + unpaired repeated measures in same test

hope you can help me with this. I have the same survey that has been repeated each half year for almost 3 years (6 repeated surveys) with approximately 500 responses each time. Some of the respondents ...
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18 views

Evaluating the Relative Efficiency of General Estimating Equations (GEE)

I am doing a presentation on "Longitudinal Data Analysis Using Generalized Linear Models"(www.biostat.jhsph.edu/~fdominic/teaching/bio655/.../liang.bka.1986.pdf) (1986 Liang and Zeger). This paper is ...
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2answers
57 views

Repeated measures with loss of groups at some times

I'm using a linear mixed model with repeated measures to look at weight loss in groups of mice under various treatments. This has worked well, but in the present conditions we have groups of mice in ...
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81 views

Regression analysis for paired data in SAS

I want to analyze paired data using regression analysis to adjust for covariates. I used PROC MIXED statement in SAS and I modeled the difference as the Y in the ...
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1answer
71 views

Mixed model repeated measures in R - specific questions

I am using a mixed model repeated measures analysis and have a few questions in terms of how to structure the model. My setup is 24 individual plots, grouped into 6 blocks. There are 4 treatments in ...
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16 views

Repeated measures: DVs not measured at all time points

I am analyzing changes in alcohol use over time and looking at whether various covariates moderate the relation over time. I am wondering how to set up my data when each variable was not measured ...
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40 views

Cointegrated Data Proc Panel SAS

I have data that are co-integrated. I am using a Proc Panel data in SAS in order to run regression analysis. Obviously running the panel regression of one data over a related co-integrated data causes ...
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31 views

SAS HLM--why is my UN(2,2) zero?

I am estimating a random intercept and slope model using sas proc mixed. I've already plotted the data and looked at the ICC and decided that a random intercept and possibly a random slope make sense. ...
3
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1answer
37 views

Weird Residual plots for a repeated measure model using PROC MIXED

Suppose $y_{ijt}$ is the weight for subject $j$ of treatment $i$ at week $t$, then the model looks like this: $$y_{ijt} = \alpha_i + \beta_i t + \gamma_i t^2 + e_{ijt}$$ The codes look like this ...
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29 views

Welch's ANOVA inconsistent in PROC MIXED vs. PROC GLM

I'm trying to implement Welch's ANOVA in SAS, and, according to the documentation at http://support.sas.com/kb/22/526.html, I'm supposed to be able to do it in two equivalent ways: ...
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1answer
114 views

Interpreting Cluster Analysis from SAS Enterprise Miner

I am currently doing a text mining project and I conducted a clustering analysis in SAS enterprise miner. I am using the following settings: Anyway, The results look like this, showing me ...
3
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1answer
41 views

Reduced degrees of freedom using transformed data in one-way ANOVA (SAS PROC MIXED)

On pg. 88 of Design and Analysis of Experiments (8th Ed.) by Montgomery, he's analyzing square root transformed data in a one-way ANOVA. He provides an ANOVA table (SS, d.f., MS, F, p) for these data, ...
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17 views

Variable Selection Techniques for Multivariate Multiple Regression

First post here. I am interested to learn about techniques for variable selection techniques for multivariate multiple regression. (More than 1 response variables in the data) Common techniques I ...
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3answers
152 views

Variable Selection Techniques for Multivariate Multiple Regression

I am interested to learn about techniques for variable selection techniques for multivariate multiple regression. (More than 1 response variables in the data) Common techniques I know of for multiple ...
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0answers
45 views

Dickey-Fuller test: conflicting results between SAS and R

I'm doing a Dickey-Fuller test on Airplane data in R. I'm using adf.test in "tseries" package and also doing this test in SAS. But SAS calculates p-value 0.2 and R ...
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31 views

Dynamic regression models in SAS

Could anyone please advise on any relevant material on utilising dynamic regression models in SAS? The response variable is a continuous variable with multiple drivers with various types (categorical, ...
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32 views

Performing PCA on a tetrachoric matrix in SPSS

I am currently working on a project where I have nine dependent variables, each binary, measuring similar outcomes. Accordingly, I'd like to perform a principal component analysis on them to reduce ...
2
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1answer
49 views

Slight difference in output of SAS proc genmod and R glm

I am trying to reproduce a model fit using SAS proc genmod in R glm and am able to get the same estimates and SE's for all parameters except the intercept and Distance coefficient. SAS: ...
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36 views

Vif and stepwise regression

I used the VIF to detect multicollinearity, I want to use forward selection and backward elimination procedures. My question is: Do I have to use all the variables in my dataset in the procedures or ...
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14 views

Modeling farm socio/demographics to determine influence on net income

I am attempting to isolate the effect on net income of incorporating a certain type of marketing strategy for farms. My initial OLS model produced positive and expected results, but when I graphed my ...
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36 views

SCCS (Self Controlled Case Series) with SAS - How to consider continuous expositions?

I have a question about the SCCS (self-controlled case series) method (I use SAS, but whatever). I understand how to deal with it when there are ponctual expositions (like vaccins) followed by fixed ...