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The quality of the model was tested by running a logistic regression and calculating Hosmer-Lemeshow's GOF test which had a value was 0.55, showing that our observed results match the expected of the model population.
We calculated the BFs by running a logistic model in SNPTEST using the Bayesian option with a Gaussian prior distribution on the log ORs with a mean of 0.425 and standard deviation of 0.086, which corresponds to an expectation of 1.53 for the OR with upper and lower 95% confidence bounds of 1.29 and 1.81, respectively.
We tested in FSGS/HIVAN for an independent effect of SNPs in the 3′-region, and across MYH9, by running a logistic regression with each MYH9 SNP considered as a covariate along with rs2413396 and estimated MYH9 chromosomal ancestry (Table 4).
Similar(55)
By running a multiple logistic regression we found that whether a patch was selected for fixation could be predicted by the similarity of its features to the target and level of training of the subjects.
We then assessed the degree to which living in a census tract with higher values of the index increased the risk of heat-related mortality by running a multinomial logistic regression analysis with heat wave days predicting quintiles of the composite index.
We ran a logistic regression model using the 10 study patients and 13 controls with the 6 variables.
We run a logistic regression for these two cases separately, and report the results in Table 5.
The next step is to run a logistic regression analysis, with the missing data dummy as the dependent variable, over the number of completely observed variables.
To investigate MBL and ficolin-2 as potential risk factors for SSc, matched univariate analysis was performed by running conditional logistic regression on one variable at a time with SSc as the dependent variable.
We next measure differences in family planning and fertility preferences by migration status by running three logistic regressions where the dependent variables are overall contraceptive use, traditional contraceptive use, and modern contraceptive use.
Propensity scores were determined by running logistic regression models that evaluated the probability of a positive response to an item adjusted for all remaining items and covariates except gender.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com