We review methods that include the clustering directly in the model (systematic component) as opposed to methods within the random component. These methods belong to the class of generalized linear mixed models.
Subjectst: AW: lrtest of nested logistic models with vce(cluster) specified DateSat, 6 Mar 2010 16:29:05 +0100 <> You can -force- the thing, at your own peril: *** webuse union, clear logit union age grade not_smsa south##c.year, vce(cluster id) est sto a logit union age ...
Simple nested Bayesian hypothesis testing for meta-analysis, Cox, Poisson and logistic regression models Article Open access 23 March 2023 Bayesian statistics and modelling Article 14 January 2021 Change history 07 June 2022 A Correction to this paper has been published: https://doi.org/10.1038...
Logistic regression models found that in 58 (2.2%) patients experiencing abnormal liver function, the risk for liver dysfunction was associated with sulfa drug allergy (OR=7.874, 95%CI (1.280, 48.447), P=0.026), payment methods (OR=0.106, 95%CI (0.012, 0.934), P=0.043), duration of ...
In the case of 2 linear regression models, the test is conducted using an F-test*. For 2 GLM family models, including count regression, gamma regression, and logistic regression, the test is conducted using a likelihood ratio test**. ...
We examined the associations between sP-selectin and D-dimer with development of VTE using bivariate statistics and multivariable weighted logistic regression models. We tested if the association of each biomarker was an independent predictor of VTE by adjusting for IMPEDE VTE. In addition to being ...
The bivariate and multivariable logistic regression models were used to find the independent determinants. RESULTS. Out of 1740 patients, 329 (18.9%) abandoned chemotherapy. The identified determinants for chemotherapy abandonment were stage III versus stage I/II adjusted odds ratio (AOR = 2.2, ...
The association between circulating free IGF-I con- centrations and overall prostate cancer risk was esti- mated using logistic regression models conditioned on the matching factors and adjusted for laboratory batch. Circulating free IGF-I concentrations were modelled in fourths (based on quartile cut...
Conditional logistic regression models were used to calculate odds ratios (ORs) with 95% CIs. Results Of the 2437 cases, 1967 (81·4%) had papillary carcinomas, 1880 (77·1%) were women, and 1384 (56·7%) were diagnosed before age 30 years (range 0–48). Higher birth weight (OR ...
Odds ratios (OR) of developing ovarian cancer and borderline tumours in the presence of BRCA1 mutations and CA125 level were derived from conditional logistic regression models. Among the 478 ovarian cancer patients, 19 BRCA1 mutations were identified (1675delA, 1135insA, 816delGT and 3347delAG...