| 000 | 02828nab a22003737a 4500 | ||
|---|---|---|---|
| 001 | G96962 | ||
| 003 | MX-TxCIM | ||
| 005 | 20240919020947.0 | ||
| 008 | 210809s2012 xxu|||p|op||| 00| 0 eng d | ||
| 022 | _a1096-0724 | ||
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 090 | _aCIS-6770 | ||
| 100 | 1 |
_aMontesinos-Lopez, O.A. _8I1706800 _92700 _gGenetic Resources Program |
|
| 245 | 1 | 0 | _aSample size with finite populations and imperfect diagnostic tests for pooled samples |
| 260 |
_aBozeman, MT (USA) : _bAssociation of Official Seed Analysts, _c2012. |
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| 500 | _aPeer review | ||
| 500 | _aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=1096-0724 | ||
| 520 | _aGroup 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 | _aGenetic Resources Program | ||
| 546 | _aText in English | ||
| 591 | _aCIMMYT Informa No. 1806 | ||
| 594 | _aCCJL01 | ||
| 595 | _aCSC | ||
| 650 | 7 |
_2AGROVOC _99919 _aMethodology |
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| 650 | 7 |
_2AGROVOC _930700 _aStatistical sampling |
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| 650 | 7 |
_2AGROVOC _930701 _aSamples |
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| 700 | 1 |
_92702 _aMontesinos-Lopez, A. |
|
| 700 | 1 |
_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959 |
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| 700 | 1 |
_920307 _aEskridge, K.M. |
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| 773 | 0 |
_tSeed Technology _gv. 34, no. 1, p. 61-77 _dBozeman, MT (USA) : Association of Official Seed Analysts, 2012. _wG65056 _x1096-0724 |
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| 856 | 4 |
_uhttps://hdl.handle.net/20.500.12665/373 _yAccess only for CIMMYT Staff |
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| 942 |
_cJA _2ddc _n0 |
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| 999 |
_c29382 _d29382 |
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