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Survival Analysis Papers and PresentationsPage 5

Time-to-event analyses require explicit decisions about endpoints, censoring and competing events. This collection brings together SAS conference discussions of survival models, Kaplan–Meier estimates and the data preparation supporting them.

129 papers · Showing 81–100

PHUSE · 2018Paper PP13PHUSE EU Connect 2018

Overall Survival Adjustment to Mitigate the Impact of Crossover from the Control Arm to the Experimental Arm. The Two-stage Method

Antonio Nieto; Javier Gómez

Source category: Poster Presentation

Author collections: Antonio Nieto · Javier Gómez

PharmaSUG · 2018Paper BB18PharmaSUG 2018

Sense and Censorability: Learn censoring techniques with ADTTE for your survival

Shilpakala Vasudevan

Source category: Beyond the Basics

Author collections: Shilpakala Vasudevan

SAS Global Forum · 2018Paper 2445-2018SAS Global Forum 2018

The Cox Hazard Model for Claims Data

Tanya Kolosova, InProfix Inc

Source category: Conference presentation

SAS Global Forum · 2018Paper 2859-2018SAS Global Forum 2018

Using Cox Proportional Hazard Model to Predict Failure: Practical Applications in Multiple Scenarios

Sudeep Kunhikrishnan, EXL Service

Source category: Conference presentation

PharmaSUG · 2017Paper PO18PharmaSUG 2017

A custom ADaM domain for time to event analysis in adverse events

John Saida Shaik

Source category: Posters

Author collections: John saida Shaik

SAS Global Forum · 2017Paper 1342-2017SAS Global Forum 2017

A Macro to Generate Kaplan-Meier Plot and Optional Estimates

Chia-Ling Wu, University of Southern California

Source category: Conference presentation

SAS Global Forum · 2017Paper 1223-2017SAS Global Forum 2017

A SAS® Macro for Covariate Specification in Linear, Logistic, and Survival Regression

Sai Liu, Stanford University

Source category: Conference presentation

SAS Global Forum · 2017Paper 1131-2017SAS Global Forum 2017

Application of Survival Analysis for Predicting Customer Churn with Recency, Frequency, and Monetary

Bo Zhang, IBM; Liwei Wang, Pharmaceutical Product Development Inc

Source category: Conference presentation

PharmaSUG · 2017Paper SP05PharmaSUG 2017

Combining Survival Analysis Results after Multiple Imputation of Censored Event Times

Jonathan L Moscovici; Bohdana Ratitch

Source category: Statistics & Pharmacokinetics

Author collections: Jonathan L Moscovici

SAS Global Forum · 2017Paper SAS0462-2017SAS Global Forum 2017

Evaluating Predictive Accuracy of Survival Models with PROC PHREG

Changbin Guo, SAS; Ying So, SAS; Woosung Jang, SAS

Source category: Conference presentation

SESUG · 2017Paper APP-136SESUG 2017

SAS Macros for Time-Dependent Effects and Risk Factors on Survival: Quantile and Landmark Analysis

Chao Zhang

Source category: Application Macro Development

File inside source ZIP: Application_Macro_Development/SESUG2017_Paper-136_Final_PDF.pdf

Author collections: Chao Zhang

PharmaSUG · 2017Paper HT03PharmaSUG 2017

Survival 101 – Just Learning to Survive

Leanne Goldstein; Rebecca Ottesen

Source category: Hands-on Training

Author collections: Leanne Goldstein · Rebecca Ottesen

SAS Global Forum · 2017Paper 0924-2017SAS Global Forum 2017

Survival Analysis of Lung Cancer Patients Using PROC PHREG and PROC LIFETEST

Yan Wang, Kennesaw State University

Source category: Conference presentation

PHUSE · 2017Paper PP08PHUSE EU Connect 2017

Surviving your Statistician: A Programmers Guide to Survival Analysis

James Diserens

Source category: Posters

Author collections: James Diserens

PharmaSUG · 2017Paper DV15PharmaSUG 2017

The %NEWSURV Family of Macros: An Update on the Survival Plotting Macro %NEWSURV and an Introduction to Expansion Macros

Jeffrey Meyers

Source category: Data Visualizations & Graphics

Author collections: Jeffrey Meyers

SCSUG · 2017SCSUG 2017

The Cox Hazard Model for Claims Data

Berestizhevsky Samuel Kolosova Tanya

Source category: Regular Session

SAS Global Forum · 2017Paper 0923-2017SAS Global Forum 2017

Using the SYMPUT Function to Automatically Choose Reference for Bivariate Cox Proportional Models

Zhongjie Cai, University of Southern California

Source category: Conference presentation

PharmaSUG · 2016Paper SP01PharmaSUG 2016

Cox proportional hazards regression to model the risk of outcomes per double increase in a continuous explanatory variable

Seungyoung Hwang

Source category: Statistics and Pharmacokinetics

Author collections: Seungyoung Hwang

PharmaSUG · 2016Paper PO07PharmaSUG 2016

Creating Time to Event ADaM Dataset for a Complex Efficacy Endpoint in Multiple Sclerosis Therapeutic Area

Ittai Rambach

Source category: Posters

SAS Global Forum · 2016Paper 8481-2016SAS Global Forum 2016

Make Predictions More Predictive: Lift Retail Marketing Campaign Response by Blending Logistic Regression and the Cox Proportional Hazards Model

Hsin-Yi Wang, Alliance Data Systems

Source category: Conference presentation