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The first investigation is made of designs for screening experiments where the response variable is approximated by a generalised linear model.
The risk differences were estimated by a generalised linear model with the binomial family, identity link, and robust standard error.
All outcomes will be analysed by a generalised linear model, assuming an appropriate distribution for each outcome and using the same set of covariates.
Risk ratios (RR) of having neck pain were estimated by a generalised linear model with the binomial family, log link, and robust standard error.
The clinical results as obtained over the 14-day or 28-day experimental course were modelled by a generalised linear model with repeated-measures analysis.
Differences in D7S1482 mutation levels between HNSCC cases and controls were tested by a generalised linear model (GLM), Poisson regression model, including all cases and controls with age, pack-year and case status as covariates.
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By specifying the expected cluster correlations of these components, their contributions to the total variation in postpartum haemorrhage can be assessed from the observed familial clustering by variance decomposition by using a generalised linear mixed model.
Additionally, the statistical analysis performed showed that the estimates values found by applying a generalised linear mixed model or the conventional logistic regression were grossly coincidental (footnote on Table 2).
Because each individual chicken was included in the data set many times, we corrected for repeated measures by fitting a generalised linear mixed model (GLMM procedure), nesting day within individual chicken in the random model.
In order to assess whether this had an impact on our findings we performed sensitivity analysis in which hysterectomy frequencies were modelled by fitting a generalised linear model, assuming a Poisson distribution and a log link function, to the NSW Admitted Patient Data from 1991 to 2008.
A range of parameter values were combined in 864 different CRR scenarios, with 1000 random data sets generated for each, and harm rates were estimated and tested for change over time by fitting a generalised linear model with a Poisson response.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com