scholarly journals A comparison of procedures to test for moderators in mixed-effects meta-regression models.

2015 ◽  
Vol 20 (3) ◽  
pp. 360-374 ◽  
Author(s):  
Wolfgang Viechtbauer ◽  
José Antonio López-López ◽  
Julio Sánchez-Meca ◽  
Fulgencio Marín-Martínez
Keyword(s):  
Regression Models ◽  
Mixed Effects ◽  
Meta Regression

Alternatives for Mixed-Effects Meta-Regression Models in the Reliability Generalization Approach

2013 ◽  
Vol 38 (5) ◽  
pp. 443-469 ◽  
Author(s):  
José Antonio López-López ◽  
Juan Botella ◽  
Julio Sánchez-Meca ◽  
Fulgencio Marín-Martínez
Keyword(s):  
Regression Models ◽  
Mixed Effects ◽  
Reliability Generalization ◽  
Meta Regression

scholarly journals How does lesion size affect the pooled effect of traction-assisted endoscopic submucosal dissection on procedure time? A meta-regression

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Sheng-Wei Cheng ◽  
Chun-Chao Chang ◽  
Ying-Fong Su ◽  
Yi-No Kang
Keyword(s):  
Endoscopic Submucosal Dissection ◽  
Statistical Models ◽  
Regression Models ◽  
Lesion Size ◽  
Mixed Effects ◽  
Time Estimate ◽  
Procedure Time ◽  
Submucosal Dissection ◽  
Effect Regression ◽  
Meta Regression

Abstract The purpose of this letter was to explore how lesion size affects the pooled effect of traction-assisted endoscopic submucosal dissection on procedure time. Our meta-regression showed that lesion size negatively associated with the effect of traction-assisted endoscopic submucosal dissection on procedure time (estimate point = − 1.02; 95% confidence interval, from − 1.58 to − 0.46). We also confirmed this result in different statistical models including fixed effect regression and two mixed effects regression models.

scholarly journals Estimating functional linear mixed-effects regression models

2017 ◽  
Vol 106 ◽  
pp. 153-164 ◽  
Author(s):  
Baisen Liu ◽  
Liangliang Wang ◽  
Jiguo Cao
Keyword(s):  
Regression Models ◽  
Mixed Effects ◽  
Linear Mixed Effects

Physician Perceptions on Quality of Life and Resuscitation Preferences for Extremely Early Newborns

2021 ◽  
Author(s):  
Danielle LoRe ◽  
Christopher Mattson ◽  
Dalia M. Feltman ◽  
Jessica T. Fry ◽  
Kathleen G. Brennan ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Regression Models ◽  
Mixed Effects ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Comfort Care ◽  
Logistic Regression Models ◽  
Extremely Preterm

Objective The study aimed to explore physician views on whether extremely early newborns will have an acceptable quality of life (QOL), and if these views are associated with physician resuscitation preferences. Study Design We performed a cross-sectional survey of neonatologists and maternal fetal medicine (MFM) attendings, fellows, and residents at four U.S. medical centers exploring physician views on future QOL of extremely early newborns and physician resuscitation preferences. Mixed-effects logistic regression models examined association of perceived QOL and resuscitation preferences when adjusting for specialty, level of training, gender, and experience with ex-premature infants. Results A total of 254 of 544 (47%) physicians were responded. A minority of physicians had interacted with surviving extremely early newborns when they were ≥3 years old (23% of physicians in pediatrics/neonatology and 6% in obstetrics/MFM). The majority of physicians did not believe an extremely early newborn would have an acceptable QOL at the earliest gestational ages (11% at 22 and 23% at 23 weeks). The majority of physicians (73%) believed that having an extremely preterm infant would have negative effects on the family's QOL. Mixed-effects logistic regression models (odds ratio [OR], 95% confidence interval [CI]) revealed that physicians who believed infants would have an acceptable QOL were less likely to offer comfort care only at 22 (OR: 0.19, 95% CI: 0.05–0.65, p < 0.01) and 23 weeks (OR: 0.24, 95% CI: 0.07–0.78, p < 0.02). They were also more likely to offer active treatment only at 24 weeks (OR: 9.66, 95% CI: 2.56–38.87, p < 0.01) and 25 weeks (OR: 19.51, 95% CI: 3.33–126.72, p < 0.01). Conclusion Physician views of extremely early newborns' future QOL correlated with self-reported resuscitation preferences. Residents and obstetric physicians reported more pessimistic views on QOL. Key Points

scholarly journals Infection Dynamics of Mycoplasma bovis and Other Respiratory Mycoplasmas in Newly Imported Bulls on Italian Fattening Farms

Pathogens ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 537 ◽  
Author(s):  
Salvatore Catania ◽  
Michele Gastaldelli ◽  
Eliana Schiavon ◽  
Andrea Matucci ◽  
Annalucia Tondo ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Gel Electrophoresis ◽  
Regression Models ◽  
Denaturing Gradient Gel Electrophoresis ◽  
Mixed Effects ◽  
Mycoplasma Bovis ◽  
Logistic Regression Models ◽  
Infection Dynamics ◽  
16S Rdna Pcr ◽  
Gradient Gel Electrophoresis

Italian beef production is mainly based on a feedlot system where calves are housed with mixed aged cattle often in conditions favourable to bovine respiratory disease (BRD). In Veneto, an indoor system is also used for imported bulls around 300–350 kg. Mycoplasmas, in particular Mycoplasma bovis and Mycoplasma dispar, contribute to BRD in young calves, but their role in the disease in older cattle has not been investigated. In this study, ten heads of cattle were selected from each of the 24 groups kept in 13 different farms. Bulls were sampled by nasal swabbing at 0, 15, and 60 days after arrival for Mycoplasma isolation. Identification was carried out by 16S-rDNA PCR followed by denaturing gradient gel electrophoresis. M. bovis, M. dispar, and M. bovirhinis were identified, and prevalence was analysed by mixed-effects logistic regression models. This showed that most bulls arrived free of M. bovis, but within two weeks, approximately 40% became infected, decreasing to 13% by the last sampling. In contrast, the prevalence of M. dispar was not dependent on time or seasonality, while M. bovirhinis only showed a seasonality-dependent trend. The Italian fattening system creates an ideal environment for infection with M. bovis, probably originating from previously stabled animals.

Extending the interpretation and utility of mixed effects logistic regression models

1995 ◽  
Vol 24 (3) ◽  
pp. 187-201 ◽  
Author(s):  
Edward R. Atwill ◽  
Hussni O. Mohammed ◽  
Janet M. Scarlett ◽  
Charles E. McCulloch
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Mixed Effects ◽  
Logistic Regression Models
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