Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS.(Fariesuglas.; Haro, Josep Maria; Kadziola, Zbigniew; Kuehne, Felicitas; Obenchain, Robert L.; Siebert, Uwe; Zhang, Xiang)(SAS Institute 2020)

  • 书名:Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS.
  • 出版社:SAS Institute
  • 作者:Fariesuglas.; Haro, Josep Maria; Kadziola, Zbigniew; Kuehne, Felicitas; Obenchain, Robert L.; Siebert, Uwe; Zhang, Xiang
  • 出版年份:2020
  • 电子书格式: pdf
  • 简介:Dive into the practical world of healthcare data analysis with “Real World Health Care Data Analysis.” This comprehensive guide, published by SAS Institute in 2020, equips you with the causal methods and SAS implementation skills needed to extract actionable insights from complex healthcare datasets. Learn to tackle real-world challenges, analyze treatment effects, and improve healthcare outcomes using powerful statistical techniques. Master SAS programming for data manipulation, analysis, and visualization. Ideal for healthcare professionals, data analysts, and researchers seeking to enhance their data analysis capabilities in the healthcare sector. Leverage causal inference to make data-driven decisions, improve patient care, and contribute to better healthcare systems.
  • ISBN:9781642957990, 16429
  • 下载地址(点击下载):
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