scholarly journals Longitudinal beta-binomial modeling using GEE for overdispersed binomial data

2016 ◽  
Vol 36 (6) ◽  
pp. 1029-1040 ◽  
Author(s):  
Hongqian Wu ◽  
Ying Zhang ◽  
Jeffrey D. Long
Keyword(s):  
Binomial Data ◽  
Binomial Modeling

The use of GEE for analyzing longitudinal binomial data: A primer using data from a tobacco intervention

2007 ◽  
Vol 32 (1) ◽  
pp. 187-193 ◽  
Author(s):  
Ji-Hyun Lee ◽  
Thaddeus A. Herzog ◽  
Cathy D. Meade ◽  
Monica S. Webb ◽  
Thomas H. Brandon
Keyword(s):  
Binomial Data ◽  
Using Data ◽  
Tobacco Intervention

scholarly journals Information Loss in Binomial Data Due to Data Compression

Entropy ◽  
2017 ◽  
Vol 19 (2) ◽  
pp. 75 ◽  
Author(s):  
Susan Hodge ◽  
Veronica Vieland
Keyword(s):  
Data Compression ◽  
Information Loss ◽  
Binomial Data

Singularities in the analysis of binomial data

Biometrika ◽  
1978 ◽  
Vol 65 (3) ◽  
pp. 603-608
Author(s):  
PASCALE ROUSSEAU ◽  
DAVID SANKOFF
Keyword(s):  
Binomial Data

scholarly journals Bayesian Inference for the Difference of Two Proportion Parameters in Over-Reported Two-Sample Binomial Data Using the Doubly Sample

Stats ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 111-120 ◽  
Author(s):  
Dewi Rahardja
Keyword(s):  
Bayesian Inference ◽  
Closed Form ◽  
Bayesian Approach ◽  
Interval Estimation ◽  
Real Data ◽  
Simulation Studies ◽  
Posterior Distributions ◽  
Binomial Data ◽  
The Difference ◽  
Data Subject

We construct a point and interval estimation using a Bayesian approach for the difference of two population proportion parameters based on two independent samples of binomial data subject to one type of misclassification. Specifically, we derive an easy-to-implement closed-form algorithm for drawing from the posterior distributions. For illustration, we applied our algorithm to a real data example. Finally, we conduct simulation studies to demonstrate the efficiency of our algorithm for Bayesian inference.

Preliminary heritability of complete rotation large colon volvulus in Thoroughbred broodmares

2019 ◽  
Vol 185 (9) ◽  
pp. 269-269
Author(s):  
Jessica L Petersen ◽  
Ronald M Lewis ◽  
Rolf Embertson ◽  
Stephanie J Valberg ◽  
Susan J Holcombe
Keyword(s):  
Fixed Effects ◽  
Surgical Correction ◽  
Binomial Data ◽  
Colonic Distention ◽  
Sire Model ◽  
Life Threatening ◽  
History Of ◽  
Colon Volvulus

Large colon volvulus (LCV) is a life-threatening form of colic that occurs when the large colon rotates 360° or more on its axis, resulting in colonic distention and ischaemia. Any horse can suffer from LCV, but the risk is greatest for periparturient Thoroughbred broodmares; the objective of this study was to estimate the heritability of LCV in these horses. The criteria for classification as an LCV case were being a Thoroughbred broodmare from one of three farms in central Kentucky and having had surgical correction for LCV. Controls were identified as Thoroughbred broodmares present on the same farms with no history of surgical colic. Thirty-nine cases and 191 controls were identified. Age of the LCV cases at the time of incident was significantly younger than that of the controls at the time of the study (P<0.0001). A total of 2223 horses were present when the five-generation pedigrees of the 230 study horses were combined. Heritability of LCV was estimated at 0.311±0.383 from the fit of a logit sire model with binomial data including year of birth and farm as fixed effects. Further data on broodmares from these and other farms will help to improve this estimate, which suggests the LCV is moderately heritable.

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