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For binary outcomes (treatment success, mortality, and adverse effects of systemic corticosteroids), we reported the outcome estimates as odds ratios (ORs) with 95% confidence intervals (CIs).
Considerable uncertainty surrounds the outcome estimates.
JGD helped generate the outcome estimates, did the AHP analyses, and helped prepare the manuscript.
SS reviewed the literature, abstracted the information needed to make the outcome estimates and did the necessary calculations.
We developed a model utilizing publicly available inputs, and tested the robustness of the outcome estimates in multivariate analyses.
We varied our inputs across their corresponding 95% CIs to generate the 95% CIs around the outcome estimates.
Similar(49)
Multivariable logistic regression was used for assessing the relationship between the independent variables and the outcome, estimating the effects of the individual SNPs and covariates (age, sex, smoking), and for dissecting potential gene-gene (G×G) and gene-environment (G×E) interactions in our data.
We limited the outcome estimate to 5 years because it is a clinically accepted estimate of prognosis.
First of all, the total number of incident cases was small, resulting in a bigger variance of the outcome estimate.
Two-way sensitivity analyses were conducted to establish the ranges in the outcome estimate introduced by two of the inputs contributing most to the uncertainty in the model.
The outcome estimated was the mean and the 95% credibility interval of the posterior distribution of the odds ratio of the rate of fracture versus placebo and other drugs, for each fracture.
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