| PHUSE US |
2021 |
Parmsurv: An SAS Macro for Flexible Parametric Survival Analysis with Long-term Predictions |
Han Fu,
Shahrul Mt-Isa |
source
video
presentation source |
10 |
| PharmaSUG |
2021 |
Survival Statistics with PROC LIFETEST and PROC PHREG: Pitfall-Avoiding Survival Lessons for Programmers |
Yun (Julie) Zhuo |
source |
10 |
| SGF |
2019 |
Using SAS Macros to Analyze Lifetime Data with Left Truncation |
Zhen-Huan Hu |
source |
11 |
| PharmaSUG |
2018 |
Sense and Censorability: Learn censoring techniques with ADTTE for your survival |
Shilpakala Vasudevan |
source |
12 |
| SGF |
2016 |
Competing-Risks Analyses: An Overview of Regression Models |
Joseph C. Gardiner |
source |
22 |
| SGF |
2015 |
Survival Analysis with Survey Data |
Joseph C. Gardiner |
source |
17 |
| PharmaSUG |
2014 |
Using SAS to Calculate and Compare Adjusted Relative Risks, Odds Ratios, and Hazard Ratios |
Besa Smith,
Tyler C. Smith |
source |
23 |
| SGF |
2014 |
Regression Analysis of Duration and Severity Data: New Capabilities with SAS Software |
Joseph C. Gardiner |
source |
19 |
| PHUSE EU |
2012 |
A Supplement to the SAS Survival Guide - Nonparametric Regression |
Karl-Ernst Siegler |
source
presentation source |
8 |
| SGF |
2011 |
An Introduction to Survival Analysis Using Complex Sample Survey Data |
Patricia A. Berglund |
source |
20 |
| SGF |
2010 |
Survival Analysis: Overview of Parametric, Nonparametric, and Semiparametric Approaches and New Developments |
Joseph C. Gardiner |
source |
23 |
| SESUG |
2009 |
Imputation for Censored Observations in Survival Studies Allowing for a Positive Cure Rate |
Alan B. Cantor |
source |
6 |
| WUSS |
2007 |
Health Outcomes Research Using Time-to-Event Analytic Approaches |
Tyler C. Smith,
Besa Smith |
source |
22 |
| WUSS |
2005 |
Graphing the Probability of Event as a Function of Time Using Survivor Function Estimates and the SAS System's PROC PHREG |
Tyler C. Smith,
Besa Smith |
source |
18 |
| WUSS |
2004 |
Kaplan Meier And Cox Proportional Hazards Modeling: Hands On Survival Analysis |
Tyler C. Smith,
Besa Smith |
source |
14 |
| SUGI |
2003 |
Survival Analysis Using Cox Proportional Hazards Modeling for Single and Multiple Event Time Data |
Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan |
source |
8 |
| WUSS |
2001 |
A Survival Analysis from the Ground Up, Using Cox Proportional Hazards Modeling |
Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan |
source |
8 |
| WUSS |
2000 |
Graphing the Probability of Hospitalization as a Function of Time Using Estimates and the SAS System's PROC PHREG |
Tyler C. Smith |
source |
7 |
| SCSUG |
1997 |
Reliability Data Analysis in the SAS System |
Gordon Johnston |
|
10 |
| WUSS |
1997 |
Reliability Data Analysis in the SAS System |
Donna O. Fulenwider,
Gordon Johnson |
source |
10 |
| MWSUG |
1997 |
An Introduction to Survival Analysis |
Linda M. Quinn |
|
12 |
| MWSUG |
1997 |
Reliability Data Analysis in the SAS System |
Gordon Johnston |
|
10 |
| SEUGI |
1997 |
An application and visualization tool for the exploratory analysis of lifetime data |
Hans-Peter Altenburg,
Thomas Floren |
source |
6 |
| SEUGI |
1997 |
Modelling of road deterioration including lifetime distribution and the Cox model |
Emmanuel Courilleau |
source |
11 |
| SUGI |
1992 |
Processing Longitudinal Data for Input into the LIFETEST Procedure: Examples from the Survey of Income and Program Participation (SIPP) |
Taube Wilson |
source |
6 |
| SUGI |
1988 |
Using the SAS System to Assess Local Influence in Regression Analysis with Censored Data |
Luis A. Escobar,
William Q. Meeker Jr. |
source |
6 |
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