Knowledge Center Catalog

Sample size with finite populations and imperfect diagnostic tests for pooled samples (Record no. 29382)

MARC details
000 -LEADER
fixed length control field 02828nab a22003737a 4500
001 - CONTROL NUMBER
control field G96962
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240919020947.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210809s2012 xxu|||p|op||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1096-0724
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) CIS-6770
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Montesinos-Lopez, O.A.
Field link and sequence number I1706800
9 (RLIN) 2700
Miscellaneous information Genetic Resources Program
245 10 - TITLE STATEMENT
Title Sample size with finite populations and imperfect diagnostic tests for pooled samples
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Bozeman, MT (USA) :
Name of publisher, distributor, etc. Association of Official Seed Analysts,
Date of publication, distribution, etc. 2012.
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=1096-0724
520 ## - SUMMARY, ETC.
Summary, etc. Group testing methods are used for classifying and estimating a proportion when the response is binary (0 or 1) and the proportion to be estimated is lower than 10%. Group testing techniques are becoming increasingly popular due to their considerable savings in time and money compared to more traditional testing methods. Until now, group testing formulas derived for determining sample size when classifying or estimating a proportion have been based on the assumption of an infinite population. However, in many cases, the population is finite and appropriate formulas are needed to determine sample size. For this reason, a new formula is proposed to determine the required sample size for estimating the proportion (p) that ensures narrow confidence intervals (CI) in finite populations with imperfect diagnostic tests (tests whose sensitivity and specificity are less than 100%). With this formula there is a γ probability that the (1–α)100% confidence interval will be narrower than a specified value, ω. e proposed formula determines the number of groups (ɡF) needed to estimate the proportion of interest and ensures with high probability that the observed CI will be narrower than ω. We show how to use the proposed formula and provide tables relevant for practical applications. Finally, we present an R program that may be used to determine sample size for finite group testing problems.
536 ## - FUNDING INFORMATION NOTE
Text of note Genetic Resources Program
546 ## - LANGUAGE NOTE
Language note Text in English
591 ## - CATALOGING NOTES
Affiliation CIMMYT Informa No. 1806
594 ## - STAFFID
StaffID CCJL01
595 ## - COLLECTION
Collection CIMMYT Staff Publications Collection
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 9919
Topical term or geographic name as entry element Methodology
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 30700
Topical term or geographic name as entry element Statistical sampling
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 30701
Topical term or geographic name as entry element Samples
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 2702
Personal name Montesinos-Lopez, A.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Crossa, J.
Miscellaneous information Genetic Resources Program
Field link and sequence number CCJL01
9 (RLIN) 59
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 20307
Personal name Eskridge, K.M.
773 0# - HOST ITEM ENTRY
Title Seed Technology
Related parts v. 34, no. 1, p. 61-77
Place, publisher, and date of publication Bozeman, MT (USA) : Association of Official Seed Analysts, 2012.
Record control number G65056
International Standard Serial Number 1096-0724
856 4# - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://hdl.handle.net/20.500.12665/373
Link text Access only for CIMMYT Staff
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Article
Source of classification or shelving scheme Dewey Decimal Classification
Suppress in OPAC No
Holdings
Date last seen Total Checkouts Full call number Price effective from Koha item type Lost status Damaged status Not for loan Collection code Withdrawn status Home library Current library Date acquired
07/03/2017   CIS-6770 07/03/2017 Article Not Lost     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 07/03/2017

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