Univariate logistic regression p value
[DOCX File]Supplementary data - Lippincott Williams & Wilkins
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Supplementary data. Table 1a: Univariate and multivariate logistic regression analysis of the variables associated with an elevated TE reading (≥8.0 kPa) in patients with a normal ALT (
[DOCX File]1:Exploring data and unadjusted (univariate) effect estimates
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You are going to use the LOGISTIC REGRESSION command to calculate an odds ratio and 95% Confidence Limits for selected variables to see if they are significantly associated with having a disease. The LOGISTIC REGRESSION command produces an output with an odds ratio, 95% Confidence Limits , and p-value for each exposure (X) variable in the model.
[DOC File]University of Phoenix Research Hub
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The statistical analysis for hypothesis 3 continued the use of univariate logistic regression. The logistic regression resulted in a p-value greater than 0.05 (p = 0.694); therefore, a statistically significant correlation was not inferred between an applicant’s previous experience in radiation therapy and successful graduation from the ...
[DOCX File]Lippincott Williams & Wilkins
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Univariate Logistic Regression for Burst Suppression (n=141). OR [CI 95%] p value. False . D. iscovery. R. ate. p value. Age. 1.08 [1.03, 1.14] 0.002. 0.006. ASA ...
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Univariate Logistic Regression for Delirium (n = 23) OR [CI 95%] p value. False . Discovery. Rate. p value. Age. 1.09 [1.02, 1.16] 0.009. 0.060. ASA Physical Status
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Table S1: Univariate logistic regression with selected variables for wound healing complications after parotidectomy (surgical procedures: n = 436). Variables with a p-value < 0.2 selected for multivariate logistic analysis are in colored lines.
[DOCX File]COVERAGE - Nc State University
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GLM Univariate and logistic regression are for one DV. GLM Univariate wants a DV measured at a continuous level. Logistic regression wants either a binary DV (binary logistic regression) or a categorical DV (multinomial logistic regression). If the categories are ordered, then one wants ordinal logistic regression. B.
[DOC File]International Journal of Medical Sciences
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Univariate and multivariate logistic regression models using a back stepwise method were constructed to determine variables that were associated with an adverse outcome. First, variables were included to conduct the univariate analysis; Second, variables with p
[DOCX File]Analyses of Cateogical Dependent Variables
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Note that there is a MAJOR difference between the linear regression curves we’re familiar with and logistic regression curves - - - The logistic regression lines asymptote at 0 and 1. They’re bounded by 0 and 1. But the linear regression lines . extend below 0. on the left and . above 1. on the right – the predicted Ys range from -∞ to
[DOCX File]Cambridge University Press
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Table 3 presents the results of univariate logistic regression analyses with calculated odds ratio for each item of PQ-16 predicting suicide thoughts and plans, and attempts. The odds ratio for individual items ranged from 1.57 to 4.77 (p
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