Примери за използване на Logistic regression на Английски и техните преводи на Български
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P< 0.001 compared to placebo(based on adjusted odds ratio comparisons from a logistic regression model using multiple imputation for missing data values).
In terms of the statistical analysis, the researchers used"survey-weighted linear and logistic regression analyses" with pet ownership as the main variable.
In this case, Blumenstock used logistic regression with 10-fold cross-validation, but he could have used a
P< 0.001 compared to placebo(based on adjusted odds ratio comparisons from a logistic regression model using multiple imputation for missing data values).
Wald p-values are quoted for the comparison of treatments using logistic regression with factors for treatment and region.
compared to vehicle by logistic regression with treatment, study
p-value for Objective Response Rate based on logistic regression.
A logistic regression was used to calculate the probability for each individual to be enumerated between 2017 and 2018.
Following the approach of Kuss Kuss O: How to use SAS for logistic regression with correlated data.
(n=342) b p-values compared efalizumab with placebo using logistic regression including baseline PASI score,
CA-125 velocity has also been examined using a multiple logistic regression model within the PLCO trial as a predictor for the development of ovarian cancer.
Cimzia 400 mg vs. placebo comparisons are estimated from a logistic regression model with factors for treatment.
computes Wald's statistics for the logistic regression coefficients.
its 95% CI obtained using logistic regression stratified by age subgroup.
P-values compared efalizumab with placebo using logistic regression including baseline PASI score,
PGA were estimated based on a logistic regression model where missing data were imputed using multiple imputation based on the MCMC method.
This finding was not supported by a stepwise logistic regression analysis in which the following factors were identified as prognostic factors:
followed by R and SQL and the logistic regression is the most commonly used data science method,
B p-value a a Logistic regression model adjusted for randomisation stratification variables b 21 out of 63(33%)
Not evaluated for statistical significance; not part of sequential testing procedure for the secondary endpoints Logistic regression on FAS(NCF) includes baseline HbA1c,