Univariable logistic regression model
[DOCX File]www.thelancet.com
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The following equation allows an estimative of the probability of remission based on the model. ... Estimated effect sizes of individual model variables using a separate univariable logistic regression for iTBS and 10 Hz rTMS. Odds Ratio. 95% Confidence Interval. p-value. 10 Hz. Age. 1·038. 1·008 – 1·068. 0·012. Baseline HAM-D . 0·955. 0 ...
[DOCX File]media.nature.com
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Table S10: Covariate associations with agGvHD in multiple logistic regression, after adding each antibiotic classification. Model 3 includes all the variables with ORs provided on the right of Table S8 (the multivariable columns), except baseline recipient diversity.
[DOCX File]Imperial College London
https://info.5y1.org/univariable-logistic-regression-model_1_84cbe7.html
Univariable logistic regression used BCE as the outcome and each of the risk factors separately as independent variables, adjusting for sex, maternal education and SES at 10 years, and participant’s SES at 30 years. Risk factors where . p ≤0.1 were introduced into a multivariable logistic regression model.
[DOCX File]Lippincott Williams & Wilkins
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derived from univariable logistic regression models with worsening phenotype as the outcome variable, and differences expressed as the odds ratio (OR). n=72; *=OR for 0.01 increase in BPF.
[DOCX File]Heart Rhythm
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Univariable logistic regression models were run for each of the 12 biomarker candidates in each of the 10,000 bootstrap samples (120,000 models total). The pre-specified primary response to CRT was treated as the outcome and the candidate biomarker was treated as a continuous predictor.
[DOCX File]The Lancet
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(a) The recovery efficiencies of the chip were 77.5%±5.8%, 86.0%±3.3%, 85.1%±2.6%, 85.6%±4.3% and 90.0%±3.9% under the concentration of 50, 100, 200, 500 and ...
[DOC File]Welcome to ePrints Soton - ePrints Soton
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Univariable logistic regression was used to explore the relationship between clinical/radiological variables and outcome. Significant and clinically important variables were then entered into a multivariable model. Predictors which did not significantly alter the odds ratios were removed to create the final model. Results. Patient demographics
[DOC File]www.research.ed.ac.uk
https://info.5y1.org/univariable-logistic-regression-model_1_177185.html
Mortality resulting from undesirable behaviours in dogs aged under three years attending primary-care veterinary practices in England. Running title: Dog deaths related to undesirable behaviour
[DOC File]cdn-links.lww.com
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Supplementary Methods. A: Quantitative analysis of immune activation, senescence and inflammation markers. B cell activation was assessed by . levels of B-cell-activating factor (BAFF) (Quantikine ELISA DBLYS0B, R&D Systems).. Monocyte activation was assessed by levels of sCD163 (Quantikine ELISA DC1630, R&D Systems), sCD14 (Flex Set, Cytometric Bead Array (CBA)) 560418, Becton Dickinson) …
[DOC File]Homework assignments for MSCI Biostatistics II
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Conduct a binary logistic regression assessing the effect of SLE for a binary outcome: Cal2=0 calcium score = 0, Cal2=1 for calcium score > 0. Conduct a proportional odds logistic regression assessing the effect of SLE for a continuous outcome variable of Calcium score. Conduct a test for proportional odds assumption for this model.
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