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In this paper we examine whether spatial inequalities in mortality between countries are associated with the distribution in regional population sizes and in so doing potentially provide a statistical method of adjusting for the variation in administrative unit sizes within countries.
This suggests that, after adjusting for the variation between regions and the effects of flock-size the source of the remaining unexplained variation in our model may lie in farm-level characteristics rather than in spatially-varying ones such as environmental factors.
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In the statistical analyses we used stMLH rather than MLH as it adjusts for the variation in the analysed loci, however the two measures are strongly correlated (r = 0.998) and all conclusions remain unchanged when the analyses are based on MLH.
This procedure also adjusts for the variation in library size seen across samples.
Secondary analysis of the primary outcome measures will be performed to adjust for the variation in waiting times between GP referral and access to MRI or orthopaedic specialist.
Urinary creatinine was determined by the picric acid assay to adjust for the variation in urine diluteness, using commercial test kits purchased from Jiancheng Bioengineering Ltd. (Nanjing, China).
Additional normalization step was implemented in case of plasma miRNA expression data in order to adjust for the variation in RNA extraction.
This was necessary to adjust for the variation in OS thickness with eccentricity seen in controls [ 5]. 68 data points, corresponding to the 68 test points on the 10-2, are shown for each of the 6 patients (different colors).
In the end, only factors that had an impact on the relative risk of dying were left in the model and the relative risks were adjusted for the variation in all those factors.
Using GLLAMM is advantageous in studies with clustered data (observations are not independent from each other) because it adjusts for the variation in long delay prevalence across patients, GPs, and practices.
In this study we similarly adjusted for the variation with a linear regression and then continued by relating this adjusted concentration to the risk of cryptorchidism using logistic regression.
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CEO of Professional Science Editing for Scientists @ prosciediting.com