Evidence map›Paper›PMID 27769989›Full record

ArticleAmerican journal of epidemiology2016

Statistical Methods for Unusual Count Data: Examples From Studies of Microchimerism.

Katherine A Guthrie, Hilary S Gammill, Mads Kamper-Jørgensen, Anne Tjønneland, Vijayakrishna K Gadi, J Lee Nelson, Wendy Leisenring

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in American journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Umbilical Cord Maternal Microchimerism in Normal and Preeclampsia Pregnancies.Reproductive sciences (Thousand Oaks, Calif.) · 2023
    Article
  6. Increased fetal microchimerism in immune and stem cell subsets in preeclampsia.American journal of reproductive immunology (New York, N.Y. : 1989) · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Fetal microchimerism by mode of delivery: a prospective cohort study.BJOG : an international journal of obstetrics and gynaecology · 2019
    Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Katherine A Guthrie
Hilary S Gammill
Mads Kamper-Jørgensen
Anne Tjønneland
Vijayakrishna K Gadi
J Lee Nelson
Wendy Leisenring
Faculty of Public Health · GB

Funding

PREGNANCY, MICROCHIMERISM, AND AUTOIMMUNE DISEASER01AI041721 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI NELSON, J. LEE · 1997 to 2011
$4.2M
ALLOIMMUNITY IN AUTO IMMUNE DISEASER01AI045659 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI NELSON, J. LEE · 1999 to 2009
$3.4M
Microchimerism as AlloImmunityR01HL117737 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI NELSON, J. LEE · 2014 to 2018
$2.4M
The Maternal Anti-fetal Immune Response & Role of Microchimerism in PreeclamsiaK08HD067221 · NICHD · UNIVERSITY OF WASHINGTON · PI GAMMILL, HILARY SEGLIN · 2012 to 2016
$644k
NHLBI NIH HHS R01 HL117737NIAID NIH HHS R01 AI041721NIAID NIH HHS R01 AI045659NICHD NIH HHS K08 HD067221
6 · The paper itself

Abstract

Natural acquisition of small amounts of foreign cells or DNA, referred to as microchimerism, occurs primarily through maternal-fetal exchange during pregnancy. Microchimerism can persist long-term and has been associated with both beneficial and adverse human health outcomes. Quantitative microchimerism data present challenges for statistical analysis, including a skewed distribution, excess zero values, and occasional large values. Methods for comparing microchimerism levels across groups while controlling for covariates are not well established. We compared statistical models for quantitative microchimerism values, applied to simulated data sets and 2 observed data sets, to make recommendations for analytic practice. Modeling the level of quantitative microchimerism as a rate via Poisson or negative binomial model with the rate of detection defined as a count of microchimerism genome equivalents per total cell equivalents tested utilizes all available data and facilitates a comparison of rates between groups. We found that both the marginalized zero-inflated Poisson model and the negative binomial model can provide unbiased and consistent estimates of the overall association of exposure or study group with microchimerism detection rates. The negative binomial model remains the more accessible of these 2 approaches; thus, we conclude that the negative binomial model may be most appropriate for analyzing quantitative microchimerism data.

Indexed as

ChimerismModels, StatisticalBinomial DistributionData Interpretation, StatisticalDatasets as TopicHumansPoisson Distribution

Identifiers

PMID27769989
PMCPMC5141948
OpenAlexW2532291459

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.