logit function matlab r2018b Search Results


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Oxford Instruments spine classification
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Relevant results from univariable logistic regression of preoperative patient factors, interventions, and intra-/postoperative patient characteristics. CAM-ICU, Confusion Assessment Method for the Intensive Care Unit; CI, confidence interval, ddSWA, delta-dominant slow-wave anaesthesia; MAC, minimum alveolar concentration; nSWA, non-slow-wave anaesthesia; OR, odds ratio; sdSWA, spindle-dominant slow-wave anaesthesia. ∗ Data are represented as median (25th percentile, 75th percentile) or number (percentage of non-delirious and delirious patients, respectively). † P -values are based on the Wald statistic from univariate logistic regression. ORs are shown when P -values are <0.05. ORs for discrete and continuous variables represent a one-unit increase except where indicated otherwise by the OR scaling factor. ‡ Neurodegenerative disease includes dementia, mild cognitive impairment, and Parkinson's. Parkinson's results are not displayed because n =1. ¶ Variables considered a priori . § Additional variables included in <t> multivariable model </t> before pruning
Multivariable Logistic Model, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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SAS institute jmp 11.0
Relevant results from univariable logistic regression of preoperative patient factors, interventions, and intra-/postoperative patient characteristics. CAM-ICU, Confusion Assessment Method for the Intensive Care Unit; CI, confidence interval, ddSWA, delta-dominant slow-wave anaesthesia; MAC, minimum alveolar concentration; nSWA, non-slow-wave anaesthesia; OR, odds ratio; sdSWA, spindle-dominant slow-wave anaesthesia. ∗ Data are represented as median (25th percentile, 75th percentile) or number (percentage of non-delirious and delirious patients, respectively). † P -values are based on the Wald statistic from univariate logistic regression. ORs are shown when P -values are <0.05. ORs for discrete and continuous variables represent a one-unit increase except where indicated otherwise by the OR scaling factor. ‡ Neurodegenerative disease includes dementia, mild cognitive impairment, and Parkinson's. Parkinson's results are not displayed because n =1. ¶ Variables considered a priori . § Additional variables included in <t> multivariable model </t> before pruning
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Relevant results from univariable logistic regression of preoperative patient factors, interventions, and intra-/postoperative patient characteristics. CAM-ICU, Confusion Assessment Method for the Intensive Care Unit; CI, confidence interval, ddSWA, delta-dominant slow-wave anaesthesia; MAC, minimum alveolar concentration; nSWA, non-slow-wave anaesthesia; OR, odds ratio; sdSWA, spindle-dominant slow-wave anaesthesia. ∗ Data are represented as median (25th percentile, 75th percentile) or number (percentage of non-delirious and delirious patients, respectively). † P -values are based on the Wald statistic from univariate logistic regression. ORs are shown when P -values are <0.05. ORs for discrete and continuous variables represent a one-unit increase except where indicated otherwise by the OR scaling factor. ‡ Neurodegenerative disease includes dementia, mild cognitive impairment, and Parkinson's. Parkinson's results are not displayed because n =1. ¶ Variables considered a priori . § Additional variables included in <t> multivariable model </t> before pruning
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Relevant results from univariable logistic regression of preoperative patient factors, interventions, and intra-/postoperative patient characteristics. CAM-ICU, Confusion Assessment Method for the Intensive Care Unit; CI, confidence interval, ddSWA, delta-dominant slow-wave anaesthesia; MAC, minimum alveolar concentration; nSWA, non-slow-wave anaesthesia; OR, odds ratio; sdSWA, spindle-dominant slow-wave anaesthesia. ∗ Data are represented as median (25th percentile, 75th percentile) or number (percentage of non-delirious and delirious patients, respectively). † P -values are based on the Wald statistic from univariate logistic regression. ORs are shown when P -values are <0.05. ORs for discrete and continuous variables represent a one-unit increase except where indicated otherwise by the OR scaling factor. ‡ Neurodegenerative disease includes dementia, mild cognitive impairment, and Parkinson's. Parkinson's results are not displayed because n =1. ¶ Variables considered a priori . § Additional variables included in <t> multivariable model </t> before pruning
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MathWorks Inc matlab toolbox dependencies
Relevant results from univariable logistic regression of preoperative patient factors, interventions, and intra-/postoperative patient characteristics. CAM-ICU, Confusion Assessment Method for the Intensive Care Unit; CI, confidence interval, ddSWA, delta-dominant slow-wave anaesthesia; MAC, minimum alveolar concentration; nSWA, non-slow-wave anaesthesia; OR, odds ratio; sdSWA, spindle-dominant slow-wave anaesthesia. ∗ Data are represented as median (25th percentile, 75th percentile) or number (percentage of non-delirious and delirious patients, respectively). † P -values are based on the Wald statistic from univariate logistic regression. ORs are shown when P -values are <0.05. ORs for discrete and continuous variables represent a one-unit increase except where indicated otherwise by the OR scaling factor. ‡ Neurodegenerative disease includes dementia, mild cognitive impairment, and Parkinson's. Parkinson's results are not displayed because n =1. ¶ Variables considered a priori . § Additional variables included in <t> multivariable model </t> before pruning
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MathWorks Inc synthesizable simulink model
Relevant results from univariable logistic regression of preoperative patient factors, interventions, and intra-/postoperative patient characteristics. CAM-ICU, Confusion Assessment Method for the Intensive Care Unit; CI, confidence interval, ddSWA, delta-dominant slow-wave anaesthesia; MAC, minimum alveolar concentration; nSWA, non-slow-wave anaesthesia; OR, odds ratio; sdSWA, spindle-dominant slow-wave anaesthesia. ∗ Data are represented as median (25th percentile, 75th percentile) or number (percentage of non-delirious and delirious patients, respectively). † P -values are based on the Wald statistic from univariate logistic regression. ORs are shown when P -values are <0.05. ORs for discrete and continuous variables represent a one-unit increase except where indicated otherwise by the OR scaling factor. ‡ Neurodegenerative disease includes dementia, mild cognitive impairment, and Parkinson's. Parkinson's results are not displayed because n =1. ¶ Variables considered a priori . § Additional variables included in <t> multivariable model </t> before pruning
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Tecan Systems magellan v7 1 software
Relevant results from univariable logistic regression of preoperative patient factors, interventions, and intra-/postoperative patient characteristics. CAM-ICU, Confusion Assessment Method for the Intensive Care Unit; CI, confidence interval, ddSWA, delta-dominant slow-wave anaesthesia; MAC, minimum alveolar concentration; nSWA, non-slow-wave anaesthesia; OR, odds ratio; sdSWA, spindle-dominant slow-wave anaesthesia. ∗ Data are represented as median (25th percentile, 75th percentile) or number (percentage of non-delirious and delirious patients, respectively). † P -values are based on the Wald statistic from univariate logistic regression. ORs are shown when P -values are <0.05. ORs for discrete and continuous variables represent a one-unit increase except where indicated otherwise by the OR scaling factor. ‡ Neurodegenerative disease includes dementia, mild cognitive impairment, and Parkinson's. Parkinson's results are not displayed because n =1. ¶ Variables considered a priori . § Additional variables included in <t> multivariable model </t> before pruning
Magellan V7 1 Software, supplied by Tecan Systems, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Addgene inc lenti dcas9 vp64 blast konermann
Relevant results from univariable logistic regression of preoperative patient factors, interventions, and intra-/postoperative patient characteristics. CAM-ICU, Confusion Assessment Method for the Intensive Care Unit; CI, confidence interval, ddSWA, delta-dominant slow-wave anaesthesia; MAC, minimum alveolar concentration; nSWA, non-slow-wave anaesthesia; OR, odds ratio; sdSWA, spindle-dominant slow-wave anaesthesia. ∗ Data are represented as median (25th percentile, 75th percentile) or number (percentage of non-delirious and delirious patients, respectively). † P -values are based on the Wald statistic from univariate logistic regression. ORs are shown when P -values are <0.05. ORs for discrete and continuous variables represent a one-unit increase except where indicated otherwise by the OR scaling factor. ‡ Neurodegenerative disease includes dementia, mild cognitive impairment, and Parkinson's. Parkinson's results are not displayed because n =1. ¶ Variables considered a priori . § Additional variables included in <t> multivariable model </t> before pruning
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Relevant results from univariable logistic regression of preoperative patient factors, interventions, and intra-/postoperative patient characteristics. CAM-ICU, Confusion Assessment Method for the Intensive Care Unit; CI, confidence interval, ddSWA, delta-dominant slow-wave anaesthesia; MAC, minimum alveolar concentration; nSWA, non-slow-wave anaesthesia; OR, odds ratio; sdSWA, spindle-dominant slow-wave anaesthesia. ∗ Data are represented as median (25th percentile, 75th percentile) or number (percentage of non-delirious and delirious patients, respectively). † P -values are based on the Wald statistic from univariate logistic regression. ORs are shown when P -values are <0.05. ORs for discrete and continuous variables represent a one-unit increase except where indicated otherwise by the OR scaling factor. ‡ Neurodegenerative disease includes dementia, mild cognitive impairment, and Parkinson's. Parkinson's results are not displayed because n =1. ¶ Variables considered a priori . § Additional variables included in  multivariable model  before pruning

Journal: British journal of anaesthesia

Article Title: Association of EEG Trajectories during Emergence from Anaesthesia with Delirium in the Post-Anaesthesia Care Unit, an Early Sign of Postoperative Complications

doi: 10.1016/j.bja.2018.09.016

Figure Lengend Snippet: Relevant results from univariable logistic regression of preoperative patient factors, interventions, and intra-/postoperative patient characteristics. CAM-ICU, Confusion Assessment Method for the Intensive Care Unit; CI, confidence interval, ddSWA, delta-dominant slow-wave anaesthesia; MAC, minimum alveolar concentration; nSWA, non-slow-wave anaesthesia; OR, odds ratio; sdSWA, spindle-dominant slow-wave anaesthesia. ∗ Data are represented as median (25th percentile, 75th percentile) or number (percentage of non-delirious and delirious patients, respectively). † P -values are based on the Wald statistic from univariate logistic regression. ORs are shown when P -values are <0.05. ORs for discrete and continuous variables represent a one-unit increase except where indicated otherwise by the OR scaling factor. ‡ Neurodegenerative disease includes dementia, mild cognitive impairment, and Parkinson's. Parkinson's results are not displayed because n =1. ¶ Variables considered a priori . § Additional variables included in multivariable model before pruning

Article Snippet: Statistical analyses and model construction All statistics were conducted using native toolboxes and custom scripts in MATLAB R2015b (MathWorks, Natick, MA, USA) with the exception of the final multivariable logistic model, which was constructed in Stata 14 (StataCorp, College Station, TX, USA).

Techniques: Concentration Assay, Medications, Blocking Assay

Adjusted odds ratios from multivariable logistic regression. Odds ratios and [95% confidence intervals (CIs)] calculated from the model described in Methods and Supplementary information of the relevant EEG and non-EEG parameters. *Odds ratios adjusted for interaction with another co-variate. Legend quantities are odds ratios. See text for an explanation of confounding regarding spine surgery.

Journal: British journal of anaesthesia

Article Title: Association of EEG Trajectories during Emergence from Anaesthesia with Delirium in the Post-Anaesthesia Care Unit, an Early Sign of Postoperative Complications

doi: 10.1016/j.bja.2018.09.016

Figure Lengend Snippet: Adjusted odds ratios from multivariable logistic regression. Odds ratios and [95% confidence intervals (CIs)] calculated from the model described in Methods and Supplementary information of the relevant EEG and non-EEG parameters. *Odds ratios adjusted for interaction with another co-variate. Legend quantities are odds ratios. See text for an explanation of confounding regarding spine surgery.

Article Snippet: Statistical analyses and model construction All statistics were conducted using native toolboxes and custom scripts in MATLAB R2015b (MathWorks, Natick, MA, USA) with the exception of the final multivariable logistic model, which was constructed in Stata 14 (StataCorp, College Station, TX, USA).

Techniques: