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We then used conditional logistic regression to analyze the data.
We used conditional logistic regression analyses to compute the adjusted odds ratios.
We then used conditional logistic regression to estimate odds ratios (ORs) and 95 confidence intervals (CIs).
We used conditional logistic regression to obtain crude and multivariable-adjusted estimates of the association between specific factors and risk of breast cancer.
Using a case control design, we used conditional logistic regression and matched cases to 5 controls.
We used conditional logistic regression to examine the differences in pollution exposure between cases and matched controls.
We used conditional logistic regression (CLR) to model the effects of NSAID use on prostate cancer risk while accounting for matching and other confounding variables.
We used conditional logistic regression techniques to adjust for income.
Both analyses used conditional logistic regression, matching on stratum.
We used conditional logistic regression to estimate odds ratios.
25 We used conditional logistic regression to calculate odds ratios for diagnosis of prostate cancer.
More suggestions(10)
used binary logistic regression
used unconditional logistic regression
used hierarchical logistic regression
used multilevel logistic regression
used multivariate logistic regression
used polytomous logistic regression
used univariate logistic regression
used multinomial logistic regression
used ordinal logistic regression
used conditional logit regression
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