Transcription of Survival Analysis Using SAS Proc Lifetest
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Survival Analysis Using SAS Proc LifetestProc LifetestProc Lifetest Estimation of Survival Probabilities Estimation of Survival Probabilities Confidence Intervals and Bands, mean life median life mean life, median life Basic Plots Estimates of Hazards, log Survival , etc. Basic plots Tests of equality of groupsSample DataSample Data 866 AML or ALL patients 866 AML or ALL patients Main Effect is Conditioning Regimen71 (52 D d) R i1 (lbli) 71 (52 Dead) Regimp=1 (non-myeloablative) 171 (93 Dead ) Regimp=2 (reduced intensity 625 (338 Dead) Regimp=4 (myeloablative)Other Variablessexpatient's gender1 (male), 2 (female)disease10 (AML), 20 (MDS)agedecage by decade3 (30-39), 4 (40-49),5 (50-59)graftype1 (BM), 2 (PB)kps0 (<90), 1 (>90),99 (unknown)99 (unknown)danhlagrp2 type of donor0 (HLA-matched sibs), 1 (well-matched URD))
Survival Analysis Using SAS Proc Lifetest. ... Examples Event 1 Event 2 Censoring ... Example Program 1 Data in Sas Data Set “study ...
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A.1 SAS EXAMPLES, A.1 SAS EXAMPLES SAS, PRODUCING GRAPHS WITH SAS, Examples, Introduction to SAS® Hash Programming, Working with SAS Formats and SAS Dates, PROC TEMPLATE Made Easy, PROC TEMPLATE . Made Easy, Loop: A Simple Dynamic, Loop – a Simple Dynamic Programming, A BEGINNER’S GUIDE TO SAS, Writing cleaner and more powerful SAS code, Writing cleaner and more powerful SAS code using macros, S NEW IN SAS ANALYTICS 9, Categorical