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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1970 1
1972 1
1975 2
1976 1
1977 3
1978 4
1979 4
1980 4
1981 4
1982 4
1983 3
1984 6
1985 2
1986 9
1987 2
1988 11
1989 7
1990 9
1991 8
1992 16
1993 12
1994 12
1995 10
1996 17
1997 21
1998 17
1999 19
2000 18
2001 17
2002 10
2003 26
2004 20
2005 27
2006 36
2007 35
2008 43
2009 50
2010 75
2011 74
2012 81
2013 105
2014 136
2015 112
2016 120
2017 139
2018 137
2019 199
2020 226
2021 274
2022 277
2023 240
2024 92

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2,419 results

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Page 1
Primitive hemopoietic stem cells: direct assay of most productive populations by competitive repopulation with simple binomial, correlation and covariance calculations.
Harrison DE, Jordan CT, Zhong RK, Astle CM. Harrison DE, et al. Exp Hematol. 1993 Feb;21(2):206-19. Exp Hematol. 1993. PMID: 8425559 Review.
Thus long-term repopulating ability and the ability to differentiate into both myeloid and lymphoid lineages are measured directly from 2.5 to 12.5 months after transplantation. This technique also has found high correlations between granulocytes, macrophages, and T and B …
Thus long-term repopulating ability and the ability to differentiate into both myeloid and lymphoid lineages are measured directly from 2.5 …
Differential correlation for sequencing data.
Siska C, Kechris K. Siska C, et al. BMC Res Notes. 2017 Jan 19;10(1):54. doi: 10.1186/s13104-016-2331-9. BMC Res Notes. 2017. PMID: 28103954 Free PMC article.
Sequencing data is in the form of counts, often modeled with a negative binomial distribution making it difficult to apply standard correlation metrics. ...RESULTS: With simulations and breast cancer miRNA-Seq and RNA-Seq data, we find that Spearman's correlation …
Sequencing data is in the form of counts, often modeled with a negative binomial distribution making it difficult to apply standard …
The Correlation between Microalbuminuria and Thyroid Nodules in Type 2 Diabetic Mellitus.
Cao C, Cui ZL, Miao J, Zhou JX, Wang XN, Jin J. Cao C, et al. Int J Endocrinol. 2022 Mar 7;2022:2789279. doi: 10.1155/2022/2789279. eCollection 2022. Int J Endocrinol. 2022. PMID: 35295847 Free PMC article.
The laboratory indexes of the two groups (thyroid nodule group with 172 cases and control group including 98 cases without thyroid nodules) were statistically analyzed by binomial logistic regression analysis and Spearman correlation analysis. ...The binary logistic …
The laboratory indexes of the two groups (thyroid nodule group with 172 cases and control group including 98 cases without thyroid nodules) …
Regression to the mean for the bivariate binomial distribution.
Khan M, Olivier J. Khan M, et al. Stat Med. 2019 Jun 15;38(13):2391-2412. doi: 10.1002/sim.8115. Epub 2019 Feb 11. Stat Med. 2019. PMID: 30743311
Unlike the normal and Poisson distributions, the correlation between pre and post observations can be either negative or positive under the bivariate binomial distribution and the severity of RTM is greater in the former case. The percentage relative difference is u …
Unlike the normal and Poisson distributions, the correlation between pre and post observations can be either negative or positive und …
Marginal modeling in community randomized trials with rare events: Utilization of the negative binomial regression model.
Westgate PM, Cheng DM, Feaster DJ, Fernández S, Shoben AB, Vandergrift N. Westgate PM, et al. Clin Trials. 2022 Apr;19(2):162-171. doi: 10.1177/17407745211063479. Epub 2022 Jan 6. Clin Trials. 2022. PMID: 34991359 Free PMC article.
The objectives of this article are (1) to show that the negative binomial regression approach targets the same marginal regression parameter(s) as an over-dispersed binomial model and to explain why the estimates may differ; (2) to derive formulas relating the negat …
The objectives of this article are (1) to show that the negative binomial regression approach targets the same marginal regression pa …
A bivariate zero-inflated negative binomial model and its applications to biomedical settings.
Cho H, Liu C, Preisser JS, Wu D. Cho H, et al. Stat Methods Med Res. 2023 Jul;32(7):1300-1317. doi: 10.1177/09622802231172028. Epub 2023 May 11. Stat Methods Med Res. 2023. PMID: 37167422 Free PMC article.
When there are correlated count variables, a bivariate model is essential for understanding their full distributional features. ...In the scRNA-seq data example, the correlation is estimated after adjusting for the effects of dropout events represented by excess zer …
When there are correlated count variables, a bivariate model is essential for understanding their full distributional features. ...In …
Modeling dynamic correlation in zero-inflated bivariate count data with applications to single-cell RNA sequencing data.
Yang Z, Ho YY. Yang Z, et al. Biometrics. 2022 Jun;78(2):766-776. doi: 10.1111/biom.13457. Epub 2021 Mar 30. Biometrics. 2022. PMID: 33720414 Free PMC article.
In this paper, we consider overdispersion and zero inflation in count outcomes and propose a ZEro-inflated negative binomial dynamic COrrelation model (ZENCO). The observed count data are modeled as a mixture of two components: success amplifications and dropout eve …
In this paper, we consider overdispersion and zero inflation in count outcomes and propose a ZEro-inflated negative binomial dynamic …
Correlated binomial variates: properties of estimator of intraclass correlation and its effect on sample size calculation.
Feng Z, Grizzle JE. Feng Z, et al. Stat Med. 1992 Sep 15;11(12):1607-14. doi: 10.1002/sim.4780111208. Stat Med. 1992. PMID: 1439364
In group randomized studies, the sample size calculations are complicated by within group (worksite, community, etc.) correlation. We compare by simulation the moment method and the more standard ANOVA method of estimating the intraclass correlation. ...
In group randomized studies, the sample size calculations are complicated by within group (worksite, community, etc.) correlation. We …
Beta-Binomial Statistical Model for Validation Studies of Analytes with a Binary Response.
LaBudde RA, Wehling P. LaBudde RA, et al. J AOAC Int. 2023 Nov 2;106(6):1629-1653. doi: 10.1093/jaoacint/qsad085. J AOAC Int. 2023. PMID: 37449884
OBJECTIVE: The POD model is placed on a firm theoretical foundation, and extended to a more generalized beta-binomial model. METHODS: The POD model is revisited and embedded in the beta-binomial model. ...CONCLUSIONS: The new beta-binomial model provides easy …
OBJECTIVE: The POD model is placed on a firm theoretical foundation, and extended to a more generalized beta-binomial model. METHODS: …
Beta-binomial model for meta-analysis of odds ratios.
Bakbergenuly I, Kulinskaya E. Bakbergenuly I, et al. Stat Med. 2017 May 20;36(11):1715-1734. doi: 10.1002/sim.7233. Epub 2017 Jan 25. Stat Med. 2017. PMID: 28124446 Free PMC article.
The multiplicative factor in this overdispersion model (ODM) can be interpreted as an intra-class correlation (ICC) parameter. This model naturally arises when the probabilities of an event in one or both arms of a comparative study are themselves beta-distributed, resulti …
The multiplicative factor in this overdispersion model (ODM) can be interpreted as an intra-class correlation (ICC) parameter. This m …
2,419 results