SASware Ballot® Results
  
Statistics and Analytics
  
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Part XV
SAS/STAT
PROC KDE
SAS/STAT 131 10 52   provide a SCORE statement
  159 12 34   add optimal bandwidth selectors for bivariate density
 
PROC LIFEREG
  112 8 62   fit a Gompertz distribution
 
PROC LIFETEST
  74 1 107   compute confidence limits on the difference in median survival times between groups
  111 7 65   perform k-sample median tests for right-censored data
  118 9 60   provide an option to compute Peto's variance formula for the Kaplan-Meier survival estimates
 
PROC PHREG
  74 1 107   compute an ROC curve and c-statistic (area under the curve)
  90 4 93   perform Cox regression with interval-censored data
  96 5 82   add the ability to fit random effects models including frailty models
  107 6 72   fit relative survival models
 
PROC QUANTREG
  131 10 52   provide a test for parameter differences across multiple quantiles
 
PROC SURVEYMEANS
  80 3 105   add an option to compute stratum-level estimates
 
 
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Part XVI
SAS/ETS
General
SAS/ETS 149 2 39   provide a cross-section or time-series modeling procedure to analyze the impact of business process or product changes, where experimental cross-sectional units can be observed during different time periods
  156 4 35   support a procedure for fractal time-series analysis, including fractional Brownian motions and the stable Paretian distribution for modeling and simulation
  162 6 32   support bilinear time-series models
 
PROC ARIMA
  172 7 27   support a SIGMA= option in the ESTIMATE statement to be used in computing the log-likelihood function value when model parameter estimates are provided and the NOEST option is used
 
PROC ESM
  188 14 15   provide an option to allow for alternative constraint specifications on the smoothing weights other than the default Zero-One/Additive constraint
 
PROC MODEL
  161 5 33   add an option to produce output of the GMM overidentifying restrictions-test statistic, p-value, and degrees of freedom of the test
 
PROC PDLREG
  184 11 19   support Shiller's distributed lag model with smoothness priors
 
PROC QLIM
  153 3 37   add an option to compute the marginal effects of a dummy variable as discrete change when the dummy variable changes from 0 to 1
 
PROC TIMESERIES
  135 1 51   support model-based methods for seasonal adjustment of weekly time-series data
 
PROC VARMAX
  181 8 21   compute and output standardized residuals for GARCH models
  182 9 20   compute and output robust standard errors for GARCH models
  185 12 18   support a HETERO statement to include exogenous variables in the variance equations
  185 12 18   support Smooth Transition AutoRegressive (STAR) and Smooth Transition Vector AutoRegressive (STVAR) models
 
PROC X12
  182 9 20   support the Signal Extraction in ARIMA Time Series (SEATS) method for seasonally-adjusting time-series data
 
 
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Part XVII
SAS/IML
SAS/IML 149 1 39   support a function for simulating time-series data based on exponential smoothing models or processes
  178 2 23   add the MU and SIGMA input arguments to CALL ARMALIK in a manner similar to their support in CALL ARMASIM
 
 
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Part XVIII
SAS/OR
PROC OPTMILP
SAS/OR 174 1 26   allow specification of a partial solution in the PRIMALIN= input data set as a warm start technique
 
PROC OPTMODEL
  180 2 22   add sorting capabilities to the modeling language
 
 
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Part XIX
SAS/QC
PROC RELIABILITY
SAS/QC 178 1 23   produce Crow-AMSAA reliability plots
 
 
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Part XX
SAS High-Performance Forecasting
General
SAS High-Performance Forecasting 167 1 30   add an INPUTBY option to allow input variables to be used according to BY groups
 
 
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Part XXI
SAS Enterprise Miner
SAS Enterprise Miner 140 1 45   add a Survival Analysis node
  151 2 38   add a CLUSTER node option to enable the comparison of clustering results across different techniques and across different numbers of clusters
  153 3 37   allow easier determination of the winning model in the Model Comparison node results
  156 4 35   allow the Score node to use both interval and nominal targets in the same node
  156 4 35   add highlighting to the Properties Panel to identify properties that have changed from their default value
  165 6 31   add the ability to sort the contents of the Select Data Source window when assigning a data source to the Input Data Source node
  169 7 28   allow multiple hidden layers in the Neural Network node
  174 8 26   add an EQUAL value as a possible interval grouping method in the Interactive Grouping node
  176 9 24   show the selected model in the End Groups node when multiple modeling nodes exist in the group flow
  176 9 24   move the Delete Project section to the bottom of the File Menu list