Exact(1)
Conventional meta-analytic techniques using data that have been estimated or averaged across all individuals in a study - aggregate data - do not permit adjustments for confounding to be performed and the best way to reliably analyse data from several cohort studies using a standard approach is to use individual patient data (IPD) [ 9, 10].
Similar(58)
However, APL does not permit adjustment for covariates so allelic analyses do not include these adjustments.
To permit adjustment for socioeconomic deprivation, we excluded patients with missing postal codes.
It is unfortunate that the routine data used in this study do not permit adjustment for both individual and contextual measures.
If resources and logistics prohibit obtaining numerous repeated measures for the entire study population, measurements on a subset would allow the magnitude of attenuation bias to be estimated and also permit adjustment for this bias in the exposure response characterization (Armstrong 1998).
Statistical analysis will be conducted using logistic regression which permits adjustment for confounders, and both crude and adjusted odds ratios will be presented.
In this study, we report a generalized MDR (GMDR) method that permits adjustment for discrete and quantitative covariates and is applicable to both dichotomous and continuous phenotypes in various population-based study designs.
The GMDR method, unlike the original MDR method [77], permits adjustment for covariates and better handles data with unequal numbers of cases and controls, and can be used to analyze both qualitative (e.g. binary) and quantitative traits via different link functions.
This measurement permits adjustment for variations in amplification efficiency between samples.
Additionally, the wealth of data collected throughout the cohort permitted adjustment for a number of potential confounding factors.
Also, propensity models permitted adjustment for a large number of confounders without their direct inclusion in the model.
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