Normal view MARC view
  • Sample Size

Entry Topical Term

Number of records used in: 1

001 - CONTROL NUMBER

  • control field: 422649

003 - CONTROL NUMBER IDENTIFIER

  • control field: DNLM

005 - DATE AND TIME OF LATEST TRANSACTION

  • control field: 20210315133328.0

008 - FIXED-LENGTH DATA ELEMENTS

  • fixed length control field: 940228 n ancnnbabn || ana

040 ## - CATALOGING SOURCE

  • Original cataloging agency: DNLM
  • Transcribing agency: DNLM

072 ## - SUBJECT CATEGORY CODE

  • Subject category code: E5.
  • Subject category code subdivision: 318.
  • Subject category code subdivision: 370.
  • Subject category code subdivision: 762

072 ## - SUBJECT CATEGORY CODE

  • Subject category code: E5.
  • Subject category code subdivision: 581.
  • Subject category code subdivision: 500.
  • Subject category code subdivision: 902

072 ## - SUBJECT CATEGORY CODE

  • Subject category code: N5.
  • Subject category code subdivision: 715.
  • Subject category code subdivision: 360.
  • Subject category code subdivision: 325.
  • Subject category code subdivision: 692

072 ## - SUBJECT CATEGORY CODE

  • Subject category code: N6.
  • Subject category code subdivision: 850.
  • Subject category code subdivision: 520.
  • Subject category code subdivision: 445.
  • Subject category code subdivision: 762

150 ## - HEADING--TOPICAL TERM

  • Topical term or geographic name entry element: Sample Size

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Control subfield: nnna
  • Topical term or geographic name entry element: Sample Sizes

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Control subfield: nnna
  • Topical term or geographic name entry element: Size, Sample

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Control subfield: nnna
  • Topical term or geographic name entry element: Sizes, Sample

680 ## - PUBLIC GENERAL NOTE

  • Explanatory text: The number of units (persons, animals, patients, specified circumstances, etc.) in a population to be studied. The sample size should be big enough to have a high likelihood of detecting a true difference between two groups. (From Wassertheil-Smoller, Biostatistics and Epidemiology, 1990, p95)

688 ## - APPLICATION HISTORY NOTE

  • Application history note: 95
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