Questions tagged [sas]
A proprietary cross-platform general-purpose statistical software package.
2
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1answer
23 views
SAS Proc expand, how does it go from lower to higher frequencies [closed]
Proc Expand is quite useful for interpolating values, however sas help is not clear how it does when we want to spread the time series from a lower frequency (say year) to a higher frequency (say ...
0
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0answers
13 views
Likelihood of an event based on Confidence limits
A simple problem I can't figure out.
Suppose at confidence level 99.9, there is a likelihood of loss in a 1 in 1000 years. What is the likelihood of loss if confidence level is 60?
Any idea how to ...
0
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0answers
34 views
Logistic regression - binary to continuous - how to interpret?
Given data with a binary outcome, i.e.: $0$ = no event, $1$ = event
which can be modeled with logistic regression, how then do we understand the following logic:
...
1
vote
1answer
52 views
Fisher's exact test: 95% CI or p-value
I have run proc freq to test association between two binary variables using the Fisher's exact test. However, the outputs seem contradict to each other as Two-sided Pr <= P 0.0355 whereas the OR ...
2
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0answers
49 views
SAS and R gives different standard error when fitting Tweedie model
I would like to fit a Tweedie GLM to the data. However, even though PROC GENMOD from SAS and glm() from R gives the same coefficient estimates, they give quite different standard error. What it the ...
1
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0answers
26 views
Determining an appropriate analysis approach
I have data (that can be seen at the end of this post) in which 13 judges scored differing amounts of posters. Judges are randomly assigned blocks of poster numbers to score. We can assume poster ...
0
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0answers
18 views
SAS vs. Stata: Interpreting Tobit scale and sigma Coefficients
I'm trying to replicate a SAS script that imputes censored wage observations using a Tobit model in Stata. However, I'm confused ...
0
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0answers
8 views
Comparing log normal and propensity multiple imputation models using confidence intervals
I am imputing income data with information about individuals characteristics and I am comparing the following multiple imputation models:
Regression method using logarithm of income.
Propensity score ...
0
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0answers
18 views
Preprocessing of time series data to spectral analysis
If we want to find the periodicities of a time series, we can use spectral analysis. We can plot the the periodogram and find the major component, then we can find the major periods. But to do this, ...
0
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0answers
43 views
Is it correct that JMP has Mann-Whitney U for comparing more than 2 unpaired groups (instead of Kruskal-Wallis)?
To the best of my knowledge, the Mann-Whitney U test (also called Wilcoxon-Mann-Whitney) is for comparing only two unpaired groups, while the Kruskal-Wallis test is used for comparing two or more ...
1
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1answer
47 views
Power of paired t-test: R vs. SAS
If we are trying to find the power of a paired t-test, SAS offers this template (among others) in PROC POWER:
...
0
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0answers
10 views
Why are standardised coefficients from STB not equivalent to standardised input data?
I recently saw a question on cross-validated which I wanted to double-check. The statement said that the following two outputs should be equal:
Running a multivariate regression on non-standardised ...
0
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1answer
22 views
Standardised beta coefficients vs standardised input
I am running a logistic regression and I both standardise and normalise my input to ensure that all the independent variables are homogenised.
My friend is telling me that I need to activate the ...
0
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1answer
43 views
Continuous vs Categorical covariate of interest in Cox Regression
I will use aliases throughout to explain my results in brief and a few questions that have propped up in the process.
Suppose I'm interested in the association of baseline measurement of blood ...
0
votes
1answer
26 views
Modelling non event instead of event
I am currently building a logistic regression model for a uni project where I want to model the 'Event' as 'default' i.e. I will be using this model to predict whether a company will not be able to ...
0
votes
1answer
28 views
Conditional Exact Logistic Regression
I have paired data for two tests. I would like to say that Test A is more sensitive than Best B, but not sure if I'm using the correct methods or if my data support it. I know McNemar's Exact test can ...
0
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0answers
15 views
Obtaining the fitted values of main effects and interactions when GLM coding is used
In short, I need to decompose the fitted values obtained from ANOVA into components corresponding to each term in ANOVA statement. This problem appears trivial, but it becomes tricky when GLM coding ...
0
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0answers
59 views
SAS proc mianalyze edf
We have a cluster randomised trial with a small number of clusters, The primary endpoint is measured at follow-up and we have missing data. We proposed to conduct a linear mixed model including ...
0
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1answer
24 views
importance of correlation between data for a PROC CLUSTER
i'm working on a clustering analysis on SAS.
I need to improve an actual code :
...
0
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0answers
21 views
What is the bandwidth in a hazard rate plot?
I am doing some Survival Analysis using SAS. On the Hazard Plots I noticed some values on each curve labeled "bw" which after some research, I assume it means bandwidth. However, after much searching, ...
0
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1answer
60 views
Comparing OLS regression coefficients with SUR in SAS
I have the following code in Stata that I'm looking for the equivalent in SAS.
Stata code:
...
1
vote
1answer
35 views
Statistical Analysis Software [closed]
I am a psychology student at UCF. I intend to pursue a master's degree in industrial and organizational psychology. We use SPSS in the psychology department. How prevalent is SPSS used in offices? ...
1
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0answers
59 views
Can MCMC to be too computationally inefficient if you have too many random interactions?
Suppose I have a regression where the response variable is sales, and I have various drivers of sales as the independent variables. I want to build a model using MCMC but I am unsure if it is even ...
1
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0answers
8 views
Data points (over time) that are both spatially even and odd
I have a set of data that has both spatially even timepoints (0, 7, 14, 21, 28 days) and spatially uneven (76, 99, 103, 133 days) timepoints. These are bodyweights collected at each of these days, and ...
1
vote
1answer
58 views
PROC GENMOD Negative Binomial doesn't predict zeros
I am using PROC GENMOD with time series data, I have tried to work with Negative Binomial, Poisson, GEE and Zero Inflated Poisson, but in each case when I score my validation dataset, I am getting ...
0
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0answers
50 views
Testing the goodness-of-fit for the binomial distribution
As specified in the title, I'm trying to understand how to test the goodness-of-fit for the binomial distribution; to this aim, I followed what suggested in this link.
Particularly, I'm investigating ...
0
votes
1answer
62 views
Standard errors of *partial* two stage least squares coefficients
Here partial 2SLS (I coined this term and found it descriptive) is the approach that SAS uses for 2SLS. Compared to "ordinary" 2SLS which in the first stage projects all explanatory variables $X$ onto ...
0
votes
1answer
25 views
Biased dependent variable on logistic regression
I am working on a logistic regression with a biased dependent variable, (only 22 observations for 0 but 222 observations for 1) on SAS program. In such case, what can I do to transform the dependent ...
0
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1answer
88 views
R equivalent of SAS PHREG: HAZARDRATIO
I am trying to find the equivalent of the SAS PROC PHREG: HAZARDRATIO command in R. Specifically, I want to evaluate the effect of a drug vs. placebo for different values of BMI. My SAS code is:
<...
1
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1answer
33 views
Which SAS output should be used to determine model adequacy for logistic regression
I have the following data:
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2
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0answers
41 views
R logistic regression throwing error
I have data with 6 predictor variables and a response variable (default ). When I do a logistic regression using probit estimation, I get a result different from SAS.
(the link to my data https://...
0
votes
1answer
123 views
Combining Intermittent Demand and ARIMA
I have a time series dataset, where a customer may purchase fuel one week and not purchase again for 2-3 weeks. I need to forecast when a customer is likely to purchase and how much they will spend. ...
0
votes
1answer
40 views
How to calculate all treatment effects in SAS with ANOVA?
In a hypothetical experiment, rats are given four different treatments and the increase in their liver fat is measured. I am being tasked with computing the overall mean and the treatment effects.
...
0
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1answer
287 views
How to run a Two Way ANOVA in SAS? [closed]
I have a data set that looks like below. I have to find if the scores are different across the four days. I understand I need to run a Two Way ANOVA for this test. I'm quite new to SAS if anyone could ...
0
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0answers
14 views
how to simulate with randdirichlet in SAS
My data has 100 obs, in 4 categories, each category has 22 obs, 25 obs, 35 obs and 18 obs . I want to create a random sample for these 4 proportions with randdirichlet in sas. Is the following the ...
1
vote
1answer
21 views
Does it make sense to do a polynomial contrast on a continuous time variable?
I tried running a few polynomial contrasts in SAS for a continuous time variable for linear, quadratic, cubic and quartic contrasts and the F values for each were the same. When I used categorical ...
0
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0answers
108 views
Difference between PROC CATMOD and PROC GENMOD for log-linear regression
I am reading "An Introduction to Categorical Data Analysis, Second Edition" by Alan Agresti. Data I am trying to fit is presented in Table 7.3 in the book. The log-linear regression by PROC GENMOD is ...
0
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0answers
182 views
Decision Tree with unbalanced dataset in SAS
I have a dataset with a binary target variable. This variable is highly imbalanced i.e. the # of True case is ~1% and # of False cases is ~99% The other limitation I have is that I can only use ...
0
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0answers
12 views
Mantel Test of Proportion : Aggregating categories different significance
I have a dataset representing for a specific marketing event editions (1 event per 1 year), the number of partecipants, and the outcome of their partecipation
If In sas I use the Mantel Exact test to ...
0
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1answer
24 views
Can I force the direction of hazards ratio?
I am doing a survival analysis using Cox's proportional hazards model with several predictive variables. Some of the estimated hazards ratio goes in an implausible direction, which contradicts what we ...
0
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0answers
40 views
Events/Trials Syntax vs. Single-Trial Mixed Model - Beta-Binomial Model
I'm a touch confused about modeling an events/trials outcome when the Bernoulli trials are not independent, such as when a series of Bernoulli trials are observed from the same person. I cannot find a ...
1
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0answers
53 views
Confidence region for multinomial distribution with k=7 - including 5 zero values in dataset
I have a multinomial distribution with $k=7$ and an observed dataset $n_i = \{62, 35, 0, 0, 0, 0, 0\}$.
While it was quite expected that $n_i = 0$ for $i \in \{3,4,...,7\}$, there was no way to ...
0
votes
1answer
67 views
Type of transformation needed for Clustering in SAS E-Miner
I'm performing a cluster analysis with a dateset that contain over 100 varibles (after imputing, replacing and eliminating correlated vars ..)
Before hiting the clustering, for the transformation ...
0
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0answers
17 views
C&RT Rule Set missing rules?
I configured a C&RT 2-class classifier model from a dataset and then saved the results to a table that I exported to a server running SAS. I used "Generate->Rule Set" on the C&RT model to see ...
0
votes
1answer
174 views
How to Translate Sampling SAS Code into R ? [closed]
I am trying to translate a SAS sampling method into r and wondering if there is a comparable r method that I can leverage for the following SAS code.
...
0
votes
1answer
40 views
Is 3x3x2x2 ANOVA possible?
I just don’t want to look dumb suggesting it. I have 4 categorical IVs with a continuous DV. Two IVs with 3 levels and two with two levels. Am I right to start off by testing via ANOVA assuming the ...
2
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0answers
31 views
Cannot get Terpstra-Jonckheere to match between R and SAS
I am trying to replicate some SAS code in R, and I'm having some issues with the Terpstra-Jonckheere test.
Here is my R code:
...
0
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0answers
9 views
Comparing two KM estimates outputs without raw data
Some raw data has gone missing, but I have the outputs of two KM curves - Both their survival estimates and patients at risk.
Is there any way for me to use just the estimates to test the difference ...
0
votes
1answer
80 views
SAS proc mixed Degree of freedom
I have a dataset in this format:
Factor A is a between subject factor (with 2 levels - High and Low).
Factor B is a within subject factor (with 3 levels - High , Moderate and Low).
I want to run a ...
2
votes
0answers
67 views
Repeated randomized 4 by 4 latin square
I have a field setup with 4 treatments in a latin sqaure setup repeated 5 times.
A B D C
C A B D
B D C A
D C A B
This field setup is enclosed.
The setup is ...
