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 |