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393 items found for " Age-Period-Cohort model"

Programs (2)

  • Advanced data analysis for GPCR pharmacology

    will be provided with Prism files, Excel templates and simulators, and the PowerPoints of the workshop modules Modules: Module 1 - Concentration-response analysis: Become a CRC super-user Module 2 - Quantifying agonist pharmacology and biased agonism Module 3 - Antagonist pharmacology and binding assay analysis Module 4 - New dimensions of activity: Allosteric modulators and kinetics Classes will be live from

  • Applying Pharmacology to Drug Discovery

    Modules: Week 1 - Fundamentals of Pharmacology Week 2 - Characterizing Agonists Week 3 - Characterizing Antagonists Week 4 - Characterizing Allosteric Modulators Registrations start on December 15th and

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Other Pages (121)

  • Colorectal cancer incidence trends in Golestan, Iran: An age-period-cohort analysis 2004-2018

    GPCR News < GPCRs in Oncology and Immunology Colorectal cancer incidence trends in Golestan, Iran: An age-period-cohort calculated the estimated annual percentage change (EAPC) with 95 % confidence intervals (95 % CI) fitted age-period-cohort (APC) models to assess non-linear period and cohort effects as incidence rate ratios (IRRs). Mahshid Mehrjerdian , Elisabete Weiderpass , Gholamreza Roshandel , Freddie Bray , Reza Malekzadeh Tags Age-Period-Cohort model , Colorectal Cancer , Golestan , Incidence trends Source Contribute to the GPCR News Coming soon

  • Esophageal and gastric cancer incidence trends in Golestan, Iran: An age-period-cohort analysis 2004 to 2018

    GPCRs in Oncology and Immunology Esophageal and gastric cancer incidence trends in Golestan, Iran: An age-period-cohort We also fitted age-period-cohort (APC) models to assess nonlinear period and cohort effects as incidence There was a strong cohort effect for EC with a consistent decrease in the IRR across successive birth cohorts, starting with the oldest birth cohort (1924; IRR = 1.9 vs the reference birth cohort of 1947 ) through to the most recent cohort born in 1988 (IRR = 0.1).

  • Using food perception and bioamine signaling networks to slow aging

    GPCR Retreat Program < Back to schedule Using food perception and bioamine signaling networks to slow aging The Leiser laboratory is focused on the molecular mechanisms of aging, with an emphasis on stress response The lab works with multiple models, including Caenorhabditis elegans, in vitro tissue culture, and mice , to better understand the conserved mechanisms of aging.

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