Probability Surveys 1: Design, Descriptive Statistics, and Analysis

Kód kurzu: SUV141

This course focuses on designing business and household surveys and analyzing data collected under complex survey designs. The course addresses the SAS procedures POWER, SURVEYSELECT, SURVEYMEANS, SURVEYFREQ, SURVEYREG, SURVEYLOGISTIC, and SURVEYIMPUTE. In addition, the graphing procedures GPLOT, SGPLOT, and SGPANEL are also covered.

Odborní
certifikovaní lektori

Mezinárodne
uznávané certifikácie

Široká ponuka technických
a soft skills kurzov

Skvelý zákaznicky
servis

Prispôsobenie kurzov
presne na mieru

Termíny kurzov

Počiatočný dátum: Na vyžiadanie

Forma: Na vyžiadanie

Dĺžka kurzu: 21 hodín

Jazyk: en

Cena bez DPH: 1 800 EUR

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Popis kurzu

  • calculate sample sizes using the POWER procedure
  • select complex samples using the SURVEYSELECT procedure
  • estimate descriptive statistics using the SURVEYMEANS procedure
  • estimate frequencies and percentages using the SURVEYFREQ procedure
  • fit general linear models using the SURVEYREG procedure
  • fit logistic regression models using the SURVEYLOGISTIC procedure
  • handle missing value adjustment using SURVEYIMPUTE procedure
  • implement balanced repeated replication, Taylor series and jackknife variance estimation
  • perform domain analysis
  • assess fitted linear/logistic regression models.
  • Cieľová skupina

    Survey statisticians, biostatisticians, epidemiologists, data analysts, and/or social scientists who design, and analyze data from, complex probability surveys

    Štruktúra kurzu

    Predpokladané znalosti

    Before attending this course, you should
  • be able to execute SAS programs and create SAS data sets. You can gain this experience by completing the SAS Programming 1: Essentials course.
  • have a basic understanding of macro variables
  • have completed a course in statistics that covers linear regression and logistic regression. You can gain this experience by completing the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression and Statistics 2: ANOVA and Regression courses.
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