Power Analysis for Population-Based Longitudinal Studies Investigating Gene-Environment Interactions in Chronic Diseases: A Simulation Study.

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Interpersonal Problems Predict Differential Response to Cognitive Versus Behavioral Treatment in a Randomized Controlled Trial.Meta-analyses of the association of G6PC2 allele variants with elevated fasting glucose and type 2 diabetes.

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Power Analysis for Population-Based Longitudinal Studies Investigating Gene-Environment Interactions in Chronic Diseases: A Simulation Study.

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Power Analysis for Population- ...... Diseases: A Simulation Study.

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P2860

Guidelines for genome-wide association studies

Phenotypic plasticity and the epigenetics of human disease

Multi-state models for the analysis of time-to-event data.

Left-truncated data with age as time scale: an alternative for survival analysis in the elderly population.

Problems of reporting genetic associations with complex outcomes.

The inherent complexities of gene-environment interactions.

Methodological issues regarding confounding and exposure misclassification in epidemiological studies of occupational exposures.

On the synthesis and interpretation of consistent but weak gene-disease associations in the era of genome-wide association studies.

The role of epigenetics in aging and age-related diseases.

Evaluation of sample size and power for analyses of survival with allowance for nonuniform patient entry, losses to follow-up, noncompliance, and stratification.

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English

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Lehana Thabane

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Power Analysis for Population-Based Longitudinal Studies Investigating Gene-Environment Interactions in Chronic Diseases: A Simulation Study.

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P2860

P2860

Power Analysis for Population-Based Longitudinal Studies Investigating Gene-Environment Interactions in Chronic Diseases: A Simulation Study.

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