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Optimizing Random Samples in Health Care Analysis: Insights from the PDX SAS Users Group Meeting

Join us for the PDX SAS Users Group Meeting focused on health care analysis techniques. Led by Renu Gehring, a Health Care Analyst at CareOregon, this session explores the use of SAS for generating random samples without replacement, crucial for effective data analysis. Participants will gain insights into handling data through practical examples and advanced methodologies shared during the June 2, 2010, meeting. Enhance your skills, learn best practices, and engage with fellow analytics professionals to improve your analytical capabilities within the healthcare sector.

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Optimizing Random Samples in Health Care Analysis: Insights from the PDX SAS Users Group Meeting

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  1. Renu Gehring PDX SUG Chair Health Care Analyst, CareOregon, Inc. SAS Instructor, Ace-Cube, LLP PDX SUG 2010 PDX SAS Users Group MeetingJune 2, 2010

  2. PDX SUG 2010 Random Sample w/o Replacement data winners(keep=Name); sampsize=15; obsleft=totobs; do while (sampsize>0); pickit+1; if ranuni(10)<sampsize/obsleft then do; set attendees point=pickitnobs=totobs; output; sampsize=sampsize-1; end; obsleft=obsleft-1; end; stop; run;

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