Knowledge Center Catalog

Sample size under inverse negative binomial group testing for accuracy in parameter estimation (Record no. 29306)

MARC details
000 -LEADER
fixed length control field 03433nab a22004097a 4500
001 - CONTROL NUMBER
control field G96879
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 220505s2012 xxu|||p|op||| 00| 0 eng d
022 0# - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1932-6203
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1371/journal.pone.0032250
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-6750
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 under inverse negative binomial group testing for accuracy in parameter estimation
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. San Francisco, CA (USA) :
Name of publisher, distributor, etc. Public Library of Science,
Date of publication, distribution, etc. 2012.
500 ## - GENERAL NOTE
General note Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=1932-6203
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open Access
520 ## - SUMMARY, ETC.
Summary, etc. Background. The group testing method has been proposed for the detection and estimation of genetically modified plants (adventitious presence of unwanted transgenic plants, AP). For binary response variables (presence or absence), group testing is efficient when the prevalence is low, so that estimation, detection, and sample size methods have been developed under the binomial model. However, when the event is rare (low prevalence <0.1), and testing occurs sequentially, inverse (negative) binomial pooled sampling may be preferred. Methodology/Principal Findings. This research proposes three sample size procedures (two computational and one analytic) for estimating prevalence using group testing under inverse (negative) binomial sampling. These methods provide the required number of positive pools (), given a pool size (k), for estimating the proportion of AP plants using the Dorfman model and inverse (negative) binomial sampling. We give real and simulated examples to show how to apply these methods and the proposed sample-size formula. The Monte Carlo method was used to study the coverage and level of assurance achieved by the proposed sample sizes. An R program to create other scenarios is given in Appendix S2. Conclusions. The three methods ensure precision in the estimated proportion of AP because they guarantee that the width (W) of the confidence interval (CI) will be equal to, or narrower than, the desired width (), with a probability of . With the Monte Carlo study we found that the computational Wald procedure (method 2) produces the more precise sample size (with coverage and assurance levels very close to nominal values) and that the samples size based on the Clopper-Pearson CI (method 1) is conservative (overestimates the sample size); the analytic Wald sample size method we developed (method 3) sometimes underestimated the optimum number of pools.
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. 1805
594 ## - STAFFID
StaffID CCJL01
595 ## - COLLECTION
Collection CIMMYT Staff Publications Collection
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 3763
Topical term or geographic name as entry element Statistical data
Source of heading or term AGROVOC
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 8831
Topical term or geographic name as entry element Genetic engineering
Source of heading or term AGROVOC
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 5934
Topical term or geographic name as entry element Gene pools
Source of heading or term AGROVOC
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 8832
Topical term or geographic name as entry element Monte Carlo method
Source of heading or term AGROVOC
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
Personal name Eskridge, K.
9 (RLIN) 2704
773 0# - HOST ITEM ENTRY
Title PLoS ONE
Related parts v. 7, no. 3, p. e32250
Place, publisher, and date of publication San Francisco, CA (USA) : Public Library of Science, 2012.
Record control number G94957
International Standard Serial Number 1932-6203
856 4# - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://hdl.handle.net/10883/2243
Link text Open Access through DSpace
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-6750 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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