Samples & SAS Notes > Analytics
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Market Research
| Date | Title | Type | ||
|---|---|---|---|---|
| 8/31/09 |
13679 - A binary or categorical covariate with no events in one level may cause monotone likelihood convergence problems resulting in huge standard errors. Categorical or binary covariates with no events in one level typically lead to convergence problems from a condition known as "monotone likelihood". The FIRTH option, first available in SAS9.2 is a potential remedy. http://support.sas.com/kb/13/679.html, 21KB |
Problem Note | ||
| 12/10/08 |
20686 - Read Access Violation may occur with experimental ASSESS statement and PH option in the presence of the STRATA statement When using the experimental ASSESS statement with the PH option, a Read Access Violation error may occur when fitting a stratified model via the STRATA statement in PROC PHREG. There is no circumvention for this ... http://support.sas.com/kb/20/686.html, 19KB |
Problem Note | ||
| 5/14/08 |
22871 - What kinds of logistic (or logit) models can be fit using SAS? There are many types of models in the area of logistic modeling. Following are some common logistic models. Note that the words logistic and logit are used interchangeably. The three basic categories of logistic models ... http://support.sas.com/kb/22/871.html, 43KB |
Usage Note | ||
| 11/5/07 |
22545 - How can I fix the error "DIMENS=2 is too large for a R by C contingency table" Specify DIMENS=1 in the PROC CORRESP statement. The default value of 2 is too large when there are only two rows or columns. See the DIMENS= option description in the CORRESP chapter of the SAS/STAT User's Guide. http://support.sas.com/kb/22/545.html, 17KB |
Usage Note | ||
| 9/12/07 |
20857 - The OUTPUT data set in PROC PHREG contains incorrect survival estimates for time-dependent covariates When the OUTPUT data set in PROC PHREG is enabled using the counting process style of input (MODEL (START, STOP) syntax) for time-dependent covariates, the survival estimates produced in the OUTPUT dat set are incorrect ... http://support.sas.com/kb/20/857.html, 18KB |
Problem Note | ||
| 8/28/07 |
22229 - What does the Market Research Application do? The Market Research Application is a point-and-click interface for fitting discrete choice models and for performing conjoint analysis, simple and multiple correspondence analysis, multidimensional preference analysis, ... http://support.sas.com/kb/22/229.html, 16KB |
Usage Note | ||
| 8/28/07 |
23975 - Where can I find documentation about the Market Research Application? You can find documentation about the Market Research Application in Getting Started with the Market Research Application. http://support.sas.com/kb/23/975.html, 16KB |
Usage Note | ||
| 8/28/07 |
22230 - Which SAS products are required in order to use the Market Research Application? Base SAS, SAS/STAT, and SAS/GRAPH are required in order to use the Market Research Application. SAS/FSP is recommended to enable the viewing and editing of data, but it is not required. http://support.sas.com/kb/22/230.html, 16KB |
Usage Note | ||
| 6/1/07 |
19860 - Proportional Hazard Supremum Test pvalues produced by the experimental ASSESS statement are incorrect in SAS 9.1 The proportional hazard supremum test pvalues produced by the experimental ASSESS statement are incorrect in SAS 9.1. The proportional hazard supremum test is invoked with the ProportionalHazards|PH option and the ... http://support.sas.com/kb/19/860.html, 18KB |
Problem Note | ||
| 10/12/06 |
18614 - Incorrect BY variable values in OUTROC= data set If a BY statement is specified and if a numeric BY variable has length less than eight, then the values of the corresponding variable in the OUTROC= data set will be incorrect. Usually zero will be used for the value ... http://support.sas.com/kb/18/614.html, 19KB |
Problem Note | ||
