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Complex Samples Methodologies for Unbiased Sampling (9678 Persons)

  • Ton J. Cleophas
  • Aeilko H. Zwinderman
Chapter
  • 78 Downloads

Abstract

The research of entire populations is costly and obtaining information from selected samples instead is generally biased by selection bias. Complex sampling produces weighted, and, therefore, unbiased population estimates. This chapter is to assess, whether this method can be trained for predicting health outcomes.

Supplementary material

333106_2_En_56_MOESM1_ESM.sav (270 kb)
complexsamples (SAV 270 kb)
333106_2_En_56_MOESM2_ESM.zip (1 kb)
complexsamplesplan ( 1 kb)
333106_2_En_56_MOESM3_ESM.sav (74 kb)
complexsamplessample (SAV 74 kb)
333106_2_En_56_MOESM4_ESM.zip (1 kb)
exportcslin (XML 1 kb)

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ton J. Cleophas
    • 1
  • Aeilko H. Zwinderman
    • 2
  1. 1.Department Medicine Albert Schweitzer HospitalDordrechtThe Netherlands
  2. 2.Academic Medical CenterDepartment Biostatistics and EpidemiologyAmsterdamThe Netherlands

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