| PHUSE EU |
2024 |
A Tutorial for JFM Analysis in SAS for Modelling Recurrent Events and Death |
Edyta Winciorek |
source
presentation source |
9 |
| SGF |
2021 |
Bayesian Analysis of GLMMs Using PROC BGLIMM |
Walter W. Stroup |
source
pdf |
25 |
| SGF |
2020 |
Using SAS OpRisk Global Data to Improve Decision-Making at a Bank |
Mentje Gericke,
Helgard Raubenheimer |
source |
17 |
| MWSUG |
2019 |
Simulating Skewed Multivariate Distributions Using SAS: Cases of Lomax, Mardia's Pareto (Type I), Logistic, Burr and F Distributions |
Zhixin Lun,
Ravindra Khattree |
|
11 |
| PHUSE EU |
2018 |
Implementing Advanced Analytics and Machine Learning in Risk-based Strategies |
Rajneesh Patil |
source
presentation source |
3 |
| MWSUG |
2017 |
Unconventional Statistical Models with the NLMIXED Procedure |
Robin High |
|
14 |
| SGF |
2016 |
Bayesian Inference for Gaussian Semiparametric Multilevel Models |
Jason Bentley,
Cathy Yuen Yi Lee |
source
zip |
19 |
| SGF |
2015 |
Double Generalized Linear Models Using SAS: The %DOUBLEGLM Macro |
Paulo Silva,
Alan Ricardo da Silva |
source
zip |
16 |
| WUSS |
2013 |
User-Specified Likelihood Expressions Using NLMIXED and the GENERAL Statement |
Melissa McTernan,
Shelley A. Blozis |
source |
4 |
| NESUG |
2013 |
Understanding the outliers in healthcare expenditure data |
Gandhi Bhattarai |
|
15 |
| SGF |
2013 |
Predicting Health Care Expenditures with the MCMC Procedure |
Gregory Watson |
source |
12 |
| NESUG |
2012 |
Financial Impact Analysis of the New RUG-IV on Post-Acute Medicare Providers Using Monte Carlo Simulation |
John Gao,
Cheryl Caswell,
Barry Fogel |
|
13 |
| SGF |
2012 |
Modeling Heavy-Tailed Distributions in Healthcare Utilization by Parametric and Bayesian Methods |
Joseph C. Gardiner |
source |
15 |
| SGF |
2012 |
Using PROC GAM to Forecast Claims Reserves in the Runoff Triangles |
Ling Huang |
source |
7 |
| SGF |
2012 |
Weighted Portmanteau Tests Revisited: Detecting Heteroscedasticity, Fitting Nonlinear and Multivariate Time Series |
Thomas J. Fisher |
source |
12 |
| PharmaSUG |
2011 |
Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterprise Miner |
Patricia B. Cerrito |
source |
15 |
| SGF |
2011 |
Quantitative requirements for non-life insurance under Solvency 2 |
Sverre Grevskott |
source |
8 |
| SGF |
2011 |
Ratemaking Using SAS Enterprise Miner: An Application Study |
Billie Anderson |
source |
20 |
| SGF |
2009 |
Using SAS Enterprise Guide 4.1 to Reduce the Cost of Diabetic Outpatients in Medicare |
Xiao Wang |
source |
7 |
| SUGI |
2005 |
Single Event Timing Model with Heterogeneity: Predicting the Time of the First Home Purchase by Immigrants |
Eugene Brusilovskiy |
source |
9 |
| SCSUG |
2004 |
Ranking Efficiency, Properness with SAS Probability Functions and Procedures |
Dagan Zhang |
|
8 |
| SUGI |
2004 |
Assessing Model Fit and Finding a Fit Model |
Margaret L. Bogle,
Rajiv Goel,
Robert M. Hamer,
Chan-Hee Jo,
Eric Siegel,
Pippa M. Simpson |
source |
17 |
| SCSUG |
2002 |
Grading Efficiency Based On Gamma Distribution with SAS Procedures |
Dagan Zhang |
|
8 |
| SESUG |
2001 |
Understanding and Using Functions |
Frank C. DiIorio |
source |
8 |
| SCSUG |
2001 |
Understanding and Using Functions |
Frank C. DiIorio |
|
8 |
| SEUGI |
1995 |
The SAS Application for Road Safety Analysis |
Marzena Nowakowska |
source |
8 |
| SUGI |
1995 |
Generating Bivariate Random Numbers from Normal, Log Normal, and Gamma Distributions Using SAS Software |
Laurie T. Elstun |
source |
3 |
| SEUGI |
1992 |
Experiences from Using the SAS System in a Large Consumption Simulation Study |
Timo Alanko |
source |
11 |
| SUGI |
1982 |
SAS/GRAPH and the Geometryof Statistical Distributions |
Charles F. Hofacker,
Paul Hoffman |
source |
8 |
HOME
QUICK SEARCH
AUTHORS
KEYWORDS
HELP
BUGS