2. Random-Effects Modeling of Categorical Response Data

2000 ◽  
Vol 30 (1) ◽  
pp. 27-80 ◽  
Author(s):  
Alan Agresti ◽  
James G. Booth ◽  
James P. Hobert ◽  
Brian Caffo
2014 ◽  
Vol 129 (6_suppl4) ◽  
pp. 166-172 ◽  
Author(s):  
Russell G. Schuh ◽  
Michelle Basque ◽  
Margaret A. Potter

Indicators for Stress Adaptation Analytics (ISAAC) is a protocol to measure the emergency response behavior of organizations within local public health systems. We used ISAAC measurements to analyze how funding and structural changes may have affected the emergency response capacity of a local health agency. We developed ISAAC profiles for an agency's consecutive fiscal years 2013 and 2014, during which funding cuts and organizational restructuring had occurred. ISAAC uses descriptive and categorical response data to obtain a function stress score and a weighted contribution score to the agency's total response. In the absence of an emergency, we simulated one by assuming that each function was stressed at an equal rate for each of the two years and then we compared the differences between the two years. The simulations revealed that seemingly minor personnel or budget changes in health departments can mask considerable variation in change at the internal function level.


2008 ◽  
Vol 139 (2_suppl) ◽  
pp. P33-P34
Author(s):  
Jeremy T. Reed ◽  
Shankar K. Sridhara ◽  
Scott E Brietzke

Objective Review and assess the current published literature regarding clinical outcomes of suction electrocautery adenoidectomy (ECA) in pediatric patients. Methods The MEDLINE database was systematically reviewed for articles reporting on the use of ECA. Inclusion criteria included English language, sample size greater than 5, and presentation of extractable data regarding pediatric outcomes with ECA. Random effects modeling was used to estimate summary outcomes. Results 9 studies met the inclusion criteria. There were 2 level 1b studies, 2 level 3b studies, and 5 level 4 studies. The mean sample size was 276 patients with a grand mean age of 6.0 years. Random effects modeling of summary estimates of intra-operative hemorrhage (4.1 cc vs. 24.0 cc 95% CI of difference = 16.5–23.1, p<0.001) and operative time (10.0 minutes vs. 11.9 minutes 95% CI of difference=0.82–2.90, p<0.001) favored ECA vs. traditional curette adenoidectomy. Subjective success was reported in 95.0% (95% CI=92.7–97.3%, p<0.001) of ECA patients with a grand mean of 5.8 months of postoperative follow-up and a grand mean lost to follow-up rate of 23.2%. Adenoid regrowth was evaluated objectively (endoscopy or X-ray) in only 116 of 2,132 (5.4%) total patients with an observed regrowth rate of 2.8% (95% CI=0–5.5%, p=0.052) with 846 total person years of follow-up. Conclusions The preponderance of evidence favors ECA versus curette adenoidectomy in terms of decreased intraoperative hemorrhage and decreased operative time. Long-term outcomes data for ECA are scarce, despite the fact that the procedure is likely performed hundreds of times each day, but suggest a low regrowth rate.


Biometrics ◽  
2016 ◽  
Vol 72 (4) ◽  
pp. 1369-1377
Author(s):  
Cornelis J. Potgieter ◽  
Rubin Wei ◽  
Victor Kipnis ◽  
Laurence S. Freedman ◽  
Raymond J. Carroll

2020 ◽  
Vol 8 (A) ◽  
pp. 119-124
Author(s):  
Mohammad Chehrazi ◽  
Seyed Hassan Saadat ◽  
Mahmoud Hajiahmadi ◽  
Mirko Spiroski

BACKGROUND: An important issue in modeling categorical response data is the choice of the links. The commonly used complementary log-log link is inclined to link misspecification due to its positive and fixed skewness parameter. AIM: The objective of this paper is to introduce a flexible skewed link function for modeling ordinal data with some covariates. METHODS: We introduce a flexible skewed link model for the cumulative ordinal regression model based on Chen model. RESULTS: The main advantage suggested by the proposed links is the skewed link provide much more identifiable than the existing skewed links. The propriety of posterior distributions under proper and improper priors is explored in detail. An efficient Markov chain Monte Carlo algorithm is developed for sampling from the posterior distribution. CONCLUSION: The proposed methodology is motivated and illustrated by ovary hyperstimulation syndrome data.


Author(s):  
Kristine M. Molina ◽  
Kristine M. Molina ◽  
Heather Honoré Goltz ◽  
Marc A. Kowalkouski ◽  
Stacey L. Hart ◽  
...  

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