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We examine the statistical properties of the proposed design using a binary outcome under different types of covariate by treatment interactions and treatment allocation schemes.
Data were fitted with a logistic regression using a binary outcome.
We focus on the 26 articles that presented results using a binary outcome.
In 1996, Assendelft et al 8 conducted a meta-analysis using a binary outcome ("success or failure").
Stepwise logistic regression models were constructed using a binary outcome specification for the presence or absence of malignancy in lymph nodes.
Associations between patient characteristics and outcomes were examined using a binary outcome definition for adherence, physician perception of symptom control and physician satisfaction (all with current therapy at time of review) to simplify the analysis and its interpretation.
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In the present study we used a binary outcome variable: "poor" response individuals were classified as "non-responders", and "moderate" or "good" response individuals were classified as "responders".
As clinical endpoint we used a binary outcome variable indicating if the tumour metastasized or not.
For this review, we have considered only those articles which used a binary outcome.
In addition, we used a binary outcome measure (1=no disability pension and 2=any disability pension).
Firstly, we used a binary outcome analysis to compare the incidence of lymphoedema, determined according to the chosen criteria.
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