Sentence examples for logistic regression samples from inspiring English sources

For the logistic regression, samples with missing genotypes were excluded.

Results of the multinominal logistic regression across samples are shown in Table  5.

Multivariate analysis was conducted using SPSS complex samples logistic regression analysis stratifying samples by district/archipelago and including as main effects all variables which reached an α level of at least 0.25.

Tests of association were then performed for each replication sample by Fisher's exact test and for meta-analysis by logistic regression with sample site included as an independent variable.

Priebe et al. (2004) multiply imputed missing data in a logistic regression with sampling weights.

Associaton analyses were performed using logistic regression with sample region as a covariate through PLINK 1.07 software.

For the logistic regression the sample size was 405 (194 cases of colorectal cancer and 211 controls) due to there being at least one piece of missing data for 198 study participants.

In a logistic regression of sample characteristics predicting whether participants would chose a branded pack or plain pack, it was found that smokers were less likely to select a branded pack than non-smokers (OR = 0.35, 95%CI = 0.20-0.61, p < 0.001).

Initially, in the risk factor analysis, two different dependent variables were investigated in a univariate model using logistic regression: 1) positive samples in feed and/or faeces and 2) positive samples in faeces.

As a multistage cluster sampling was applied in the study, sampling weight was considered for all the Logistic regressions, the sampling weight is a product of reciprocal of the probability of multiple sampling.

In order to further investigate the disease specificity of lipidomic changes detected in LMNA mutation carriers, we used the lipids from Table 2 to fit a logistic regression model to samples from Groups 1&2 with the LMNA mutation (elevated DCM risk) as the response variable.