'Effect modification' diaporamas de présentation

Using the Population Attributable Fraction (PAF) to Assess MCH Population Outcomes

Using the Population Attributable Fraction (PAF) to Assess MCH Population Outcomes. Deborah Rosenberg, PhD and Kristin Rankin, PhD Epidemiology and Biostatistics School of Public Health University of Illinois at Chicago. Day One: 8:30-12:00. Background and Overview

2.45k views • 147 slides

Confounding & Effect Modification

Age. Age. Confounding & Effect Modification. Non-Smokers. Smokers. 20 108 128 15.6%. Yes. Heart Disease. Yes No. Incidence. Vigorous Exercise. 30 64 94 31.9%. No. RR (95% CI)= 0.5 (0.3-0.8)

1.22k views • 95 slides

Effect Modification & Confounding

Effect Modification & Confounding. Kostas Danis EPIET Introductory course, Menorca 2012. Analytical epidemiology. Stratification - Effect modification - Confounding Matching Multivariable analysis. Study design: cohorts & case control & cross-sectional studies

1.75k views • 90 slides

Intermediate methods in observational epidemiology 2008

Intermediate methods in observational epidemiology 2008. Interaction. Due to a study defect. Found in nature. Threats to Causal Inference in Epidemiologic Studies. Threats to causal inferences in epidemiologic studies - outline. Lack of precision Lack of internal validity

1.04k views • 84 slides

Bias, Confounding and Fallacies in Epidemiology

Bias, Confounding and Fallacies in Epidemiology. M. Tevfik DORAK http://www.dorak.info/epi. BIAS Definition Types Examples Remedies CONFOUNDING Definition Examples Remedies FALLACIES Definition ( Effect Modification ). What is Bias? .

2.27k views • 67 slides

Stratification: Confounding , Effect modification

Stratification: Confounding , Effect modification. Third training Module EpiSouth Madrid, 15 th to 19 th June, 2009 Dr D. Hannoun National Institute of Public Health Algeria. Introduction: Generality.

1.94k views • 50 slides

Dr. N. Birkett, Department of Epidemiology & Community Medicine, University of Ottawa

EPI 5240: Introduction to Epidemiology Confounding: concepts and general approaches November 9, 2009. Dr. N. Birkett, Department of Epidemiology & Community Medicine, University of Ottawa. Earlier session introduced confounding THERE MUST BE THREE VARIABLES!!!

449 views • 37 slides

Choice of study design: randomized and non-randomized approaches

528 views • 37 slides

EPI 5344: Survival Analysis in Epidemiology Confounding and Effect Modification March 25, 2014

EPI 5344: Survival Analysis in Epidemiology Confounding and Effect Modification March 25, 2014. Dr. N. Birkett, Department of Epidemiology & Community Medicine, University of Ottawa. Objectives. Review confounding and effect modification (EM) Graphical view of confounding and EM

576 views • 35 slides

Confounding, Effect Modification and Odd-Ratio

Confounding, Effect Modification and Odd-Ratio. ??. ????? ????????????? ?????????????????? ?????????????????. Confounding bias. Criterion: A variable, C, is a confounder of a variable, X, if C is associated with X C is associated with the outcome variable, Y

908 views • 32 slides

Arranged marriage

Arranged marriage . Matching in case control studies FETP India. Competency to be gained from this lecture. Design and analyze a matched case control study . Key elements. The concept of matching The matched analysis Pro and cons of matching . Controlling a confounding factor.

489 views • 30 slides

Interactions

Interactions. Interaction : Does the relationship between two variables depend on a third variable? Does the relationship of age to BP depend on gender Does a certain BP-lowering drug work as well in blacks than in non-blacks

327 views • 25 slides

Do pesticides cause cancer ?

Michael Alavanja, Dr.P.H. Captain, USPHS Senior Investigator, Division of Cancer Epidemiology and Genetics, NCI 2007 North American Pesticide Applicator Certification & Safety Education Workshop August 20-23, 2007 Portland, Maine.

346 views • 23 slides

Associations of FTO and MC4R SNPs with obesity traits in the Indian Migration Study

Associations of FTO and MC4R SNPs with obesity traits in the Indian Migration Study. Amy Taylor. Background. Large number of genetic variants associated with obesity traits have been discovered in Europeans FTO and MC4R associations well established

371 views • 22 slides

Scale, Causal Pies and Interaction 1 h

Scale, Causal Pies and Interaction 1 h. Hein Stigum Presentation, data and programs at: http://folk.uio.no/heins/. Agenda. Concepts Scale Causal Pies Interaction and Effect Modification Methods Regression and Scale Regression and Interaction. Scale. The importance of scale.

303 views • 21 slides

Approaches to Synthesis of Heterogeneous Evidence

The following slides were presented at a meeting of potential editors and methods advisors for the proposed Cochrane review group in February 2008. The slides were designed to promote discussion rather than represent the views and directions of this group. Approaches to Synthesis of

277 views • 21 slides

Exercise 3 week 2

Exercise 3 week 2. Var 1. Var 2. Experimental setup. Climate 2. Climate 1. Fert 1. Fert 2. Fert 3. Block 1. Var 1. Var 2. Var 1. Var 2. Block 2. Block 3. Section. Variables. Response variable: End level Systematic part: Climate, Fertilizer, Variaty Random effects Block,

334 views • 20 slides

422 views • 18 slides

209 views • 11 slides

Analysis Section

Analysis Section. Research Design. Protocol Overview. Expected Components of the Analysis Section: Primary Objective. Primary statistical approach to address study objective/ hypothesis (main results table) Statistical assumption assessment-changes in main approach Model-Fitting Issues

186 views • 8 slides