Retrospection of Anti–Blood Group Antibody Proficiency Testing Data Using the Geometric Mean and Standard Deviation
Abstract Objectives We reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic data. Methods Using the five most recent anti–blood group antibody titer participant summary results, the geometric mean (GM) ±2 × geom...
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Published in: | American journal of clinical pathology Vol. 153; no. 4; pp. 530 - 536 |
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Main Authors: | , , , , , |
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Abstract | Abstract
Objectives
We reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic data.
Methods
Using the five most recent anti–blood group antibody titer participant summary results, the geometric mean (GM) ±2 × geometric standard deviation (GSD) was used as the comparative consensus criterion to mode ±2 titers.
Results
Using the PT evaluation criterion of mode ±2 titers, the mean percentages of participants with acceptable results were 97.5% and 97.8% for anti-A and anti-D, respectively. When applying GM ±2 GSD, the mean percentages of acceptable results were 96.1% (anti-A) and 96.1% (anti-D). The percentages of responses included in each consensus criterion were lower using GM ±2 GSD, with a few exceptions.
Conclusions
Geometric means are more robust and precise in visualizing the central tendency. This method can improve the statistical robustness of PT evaluations. |
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AbstractList | We reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic data.
Using the five most recent anti-blood group antibody titer participant summary results, the geometric mean (GM) ±2 × geometric standard deviation (GSD) was used as the comparative consensus criterion to mode ±2 titers.
Using the PT evaluation criterion of mode ±2 titers, the mean percentages of participants with acceptable results were 97.5% and 97.8% for anti-A and anti-D, respectively. When applying GM ±2 GSD, the mean percentages of acceptable results were 96.1% (anti-A) and 96.1% (anti-D). The percentages of responses included in each consensus criterion were lower using GM ±2 GSD, with a few exceptions.
Geometric means are more robust and precise in visualizing the central tendency. This method can improve the statistical robustness of PT evaluations. Abstract Objectives We reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic data. Methods Using the five most recent anti–blood group antibody titer participant summary results, the geometric mean (GM) ±2 × geometric standard deviation (GSD) was used as the comparative consensus criterion to mode ±2 titers. Results Using the PT evaluation criterion of mode ±2 titers, the mean percentages of participants with acceptable results were 97.5% and 97.8% for anti-A and anti-D, respectively. When applying GM ±2 GSD, the mean percentages of acceptable results were 96.1% (anti-A) and 96.1% (anti-D). The percentages of responses included in each consensus criterion were lower using GM ±2 GSD, with a few exceptions. Conclusions Geometric means are more robust and precise in visualizing the central tendency. This method can improve the statistical robustness of PT evaluations. Objectives: We reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic data. Methods: Using the five most recent anti-blood group antibody titer participant summary results, the geometric mean (GM) [+ or -]2 * geometric standard deviation (GSD) was used as the comparative consensus criterion to mode [+ or -] 2 titers. Results: Using the PT evaluation criterion of mode [+ or -] 2 titers, the mean percentages of participants with acceptable results were 97.5% and 97.8% for anti-A and anti-D, respectively. When applying GM [+ or -] 2 GSD, the mean percentages of acceptable results were 96.1% (anti-A) and 96.1% (anti-D). The percentages of responses included in each consensus criterion were lower using GM [+ or -] 2 GSD, with a few exceptions. Conclusions: Geometric means are more robust and precise in visualizing the central tendency. This method can improve the statistical robustness of PT evaluations. Key Words: Retrospection; Anti-blood group antibody; Proficiency testing; Geometric mean; Standard deviation OBJECTIVESWe reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic data. METHODSUsing the five most recent anti-blood group antibody titer participant summary results, the geometric mean (GM) ±2 × geometric standard deviation (GSD) was used as the comparative consensus criterion to mode ±2 titers. RESULTSUsing the PT evaluation criterion of mode ±2 titers, the mean percentages of participants with acceptable results were 97.5% and 97.8% for anti-A and anti-D, respectively. When applying GM ±2 GSD, the mean percentages of acceptable results were 96.1% (anti-A) and 96.1% (anti-D). The percentages of responses included in each consensus criterion were lower using GM ±2 GSD, with a few exceptions. CONCLUSIONSGeometric means are more robust and precise in visualizing the central tendency. This method can improve the statistical robustness of PT evaluations. Objectives We reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic data. Methods Using the five most recent anti–blood group antibody titer participant summary results, the geometric mean (GM) ±2 × geometric standard deviation (GSD) was used as the comparative consensus criterion to mode ±2 titers. Results Using the PT evaluation criterion of mode ±2 titers, the mean percentages of participants with acceptable results were 97.5% and 97.8% for anti-A and anti-D, respectively. When applying GM ±2 GSD, the mean percentages of acceptable results were 96.1% (anti-A) and 96.1% (anti-D). The percentages of responses included in each consensus criterion were lower using GM ±2 GSD, with a few exceptions. Conclusions Geometric means are more robust and precise in visualizing the central tendency. This method can improve the statistical robustness of PT evaluations. |
Audience | Professional Academic |
Author | Hwang, Sang-Hyun Chung, Yousun Ko, Dae-Hyun Oh, Heung-Bum Kim, Hyungsuk Yang, John Jeongseok |
Author_xml | – sequence: 1 givenname: John Jeongseok surname: Yang fullname: Yang, John Jeongseok organization: Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea – sequence: 2 givenname: Yousun orcidid: 0000-0002-5197-6340 surname: Chung fullname: Chung, Yousun organization: Department of Laboratory Medicine, Kangdong Sacred Heart Hospital, Seoul, Korea – sequence: 3 givenname: Hyungsuk surname: Kim fullname: Kim, Hyungsuk organization: Department of Laboratory Medicine, Seoul National University Hospital, Seoul, Korea – sequence: 4 givenname: Dae-Hyun surname: Ko fullname: Ko, Dae-Hyun email: daehyuni1118@amc.seoul.kr organization: Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea – sequence: 5 givenname: Sang-Hyun surname: Hwang fullname: Hwang, Sang-Hyun organization: Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea – sequence: 6 givenname: Heung-Bum surname: Oh fullname: Oh, Heung-Bum organization: Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea |
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Cites_doi | 10.1046/j.1537-2995.1990.30290162907.x 10.1111/j.1399-3089.2006.00296.x 10.21037/jtd.2017.05.81 10.1111/j.1423-0410.2008.01043.x 10.3346/jkms.2005.20.4.542 10.1080/00365540110089836 10.5858/arpa.2015-0351-OA 10.1111/j.1749-6632.1983.tb22184.x 10.1111/vox.12399 |
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Keywords | Standard deviation Geometric mean Anti–blood group antibody Proficiency testing Retrospection |
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References | Reverberi (2020030912072597100_CIT0002) 2008; 6 Thorpe (2020030912072597100_CIT0011) 2016; 111 Gilbert (2020030912072597100_CIT0004) 1987 Yu (2020030912072597100_CIT0006) 2005; 20 Divisi (2020030912072597100_CIT0007) 2017; 9 AuBuchon (2020030912072597100_CIT0001) 2008; 95 Taylor (2020030912072597100_CIT0003) 1983; 420 Bachegowda (2020030912072597100_CIT0008) 2017; 141 Judd (2020030912072597100_CIT0010) 1990; 30 Daxboeck (2020030912072597100_CIT0005) 2002; 34 Kobayashi (2020030912072597100_CIT0009) 2006; 13 |
References_xml | – volume: 30 start-page: 175 year: 1990 ident: 2020030912072597100_CIT0010 article-title: Prenatal and perinatal immunohematology: recommendations for serologic management of the fetus, newborn infant, and obstetric patient publication-title: Transfusion. doi: 10.1046/j.1537-2995.1990.30290162907.x contributor: fullname: Judd – volume: 13 start-page: 136 year: 2006 ident: 2020030912072597100_CIT0009 article-title: A series of surveys on assay for anti-A/B antibody by Japanese ABO-incompatible transplantation committee publication-title: Xenotransplantation. doi: 10.1111/j.1399-3089.2006.00296.x contributor: fullname: Kobayashi – volume: 9 start-page: 1734 year: 2017 ident: 2020030912072597100_CIT0007 article-title: Basic statistics with Microsoft Excel: a review publication-title: J Thorac Dis. doi: 10.21037/jtd.2017.05.81 contributor: fullname: Divisi – volume: 6 start-page: 37 year: 2008 ident: 2020030912072597100_CIT0002 article-title: The statistical analysis of immunohaematological data publication-title: Blood Transfus. contributor: fullname: Reverberi – volume: 95 start-page: 57 year: 2008 ident: 2020030912072597100_CIT0001 article-title: Reducing the variation in performance of antibody titrations publication-title: Vox Sang. doi: 10.1111/j.1423-0410.2008.01043.x contributor: fullname: AuBuchon – volume: 20 start-page: 542 year: 2005 ident: 2020030912072597100_CIT0006 article-title: Distributions of antibody titers to Mycoplasma pneumoniae in Korean children in 2000-2003 publication-title: J Korean Med Sci. doi: 10.3346/jkms.2005.20.4.542 contributor: fullname: Yu – volume: 34 start-page: 577 year: 2002 ident: 2020030912072597100_CIT0005 article-title: Effect of age on antibody titer to Mycoplasma pneumoniae publication-title: Scand J Infect Dis. doi: 10.1080/00365540110089836 contributor: fullname: Daxboeck – volume: 141 start-page: 131 year: 2017 ident: 2020030912072597100_CIT0008 article-title: Impact of uniform methods on interlaboratory antibody titration variability: antibody titration and uniform methods publication-title: Arch Pathol Lab Med. doi: 10.5858/arpa.2015-0351-OA contributor: fullname: Bachegowda – volume: 420 start-page: 13 year: 1983 ident: 2020030912072597100_CIT0003 article-title: Measurement of variation and significance in serologic tests publication-title: Ann N Y Acad Sci. doi: 10.1111/j.1749-6632.1983.tb22184.x contributor: fullname: Taylor – volume-title: Statistical Methods for Environmental Pollution Monitoring year: 1987 ident: 2020030912072597100_CIT0004 contributor: fullname: Gilbert – volume: 111 start-page: 161 year: 2016 ident: 2020030912072597100_CIT0011 article-title: A WHO reference reagent to standardize haemagglutination testing for anti-A and anti-B in serum and plasma: international collaborative study to evaluate a candidate preparation publication-title: Vox Sang. doi: 10.1111/vox.12399 contributor: fullname: Thorpe |
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We reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of... We reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic data. Using... Objectives: We reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic... Objectives We reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic... OBJECTIVESWe reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic... |
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SubjectTerms | Analysis Antibodies Blood Blood groups Dispersion measures (Statistics) Hematology Medical examination Medical research Medical statistics Medicine, Experimental Methods Standard deviation Statistical analysis Statistics Viral antibodies |
Title | Retrospection of Anti–Blood Group Antibody Proficiency Testing Data Using the Geometric Mean and Standard Deviation |
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