advanced graphics with R

advanced graphics with R slides

basic R, statistics

basic R slides - some useful tips, from UCLA

learning statistics R via video

R via videos , learning statistics via video

research presentation, software, "impressive", video/slides presentation

http://impressive.sourceforge.net/index.php

http://4dpiecharts.com/2010/10/29/adapting-graphs-for-presentations/


Ten (10) Easy Steps to Create an Online Program!
vcasmo.com

random numbers, R, sampling, bootstrapping

RANDOM NUMBERS - concise tutorial in R

rnorm
runif
sample


useful handout on random numbers, simulating dice roll, coin toss.
loops

cf wiki book on Statistical analysis with R

http://www.astrostatistics.psu.edu/datasets/R/Random.html

multicollinearity, mediation, suppression

 multicollinearity - excellent tutorial on causes, consequences of multicollinearity in multivariate linear regression - Uni Pensylvania

“LINEAR REGRESSION collinearity suppression xxxXX,” http://www.psych.umn.edu/faculty/waller/classes/mult10/readings/wall05.pdf. by Friedman, Wall,  Graphical Views of Suppression and Multicollinearity in

1. Multiple Linear Regression

confounding, collinearity  - examples in R XXX mcgill uni.

multicollinearity - concise introduction

wiki - multicollinearity

CAUTION WITH RULES OF THUMB - factors affecting collinearity (variance of regression coefs)
- O Brien

short one-page on multicollinearity measures: tolerance, variance inflation factor (1/tolerance) and its management

orthogonalization , factor analysis for collinearity - ppt - example from functional MRI

mediation, cf MLR, sobel test, structural equation modelling, pathway analysis....


structural collinearity  Reducing structural multicollinearity  XXX

A caution regarding rules of thumb for variance inflation factors XXX




treating multicollinearity

... one way is combining of correlated variables into one, if it makes sense  Leech eta al 2005 SPSS for intermediate statistics, p 96

cf centering

suppression  c Am. Statistician
effect of variable that is not correlated with outcome, but correlated with other predictors - it increases variance of estimates of other predictors. (Graphical views of suppression and multicollinearity in multiple linear regression.)

ICD + SNOMEDCT harmonization

ICD + SNOMEDCT harmonization WHO letter

genetic epidemiology

genetic epidemiology resources

OEGE - Online Encyclopedia for Genetic Epidemiology studies

 

Court Lab Excel spreadsheet - Hardy Weinberg equilibrium calculator XXX

iQser AG - Produkte

iQser AG - Produkte: "iQser GIN Plattform"

Gest Alta - Linked Data

Gest Alta - Linked Data: "Gest Alta - Linked Data"

» Blog Archive » SPSS GLM or Regression? When to use each

» Blog Archive » SPSS GLM or Regression? When to use each: "SPSS GLM or Regression? When to use each"

Drug Off-Target Effects Predicted Using Structural Analysis in the Context of a Metabolic Network Model

Drug Off-Target Effects Predicted Using Structural Analysis in the Context of a Metabolic Network Model

GWAS, CAD, corangiogen, resources, links

ECHOCARDIOGRAPHY VASAN 2009 JAMA

In stage 1, 16 genetic loci were associated with 5 echocardiographic traits: 1 each with LV internal dimensions and systolic dysfunction, 3 each with LV mass and wall thickness, and 8 with aortic root size. In stage 2, 5 loci replicated (6q22 locus associated with LV diastolic dimensions, explaining <1% of trait variance; 5q23, 12p12, 12q14, and 17p13 associated with aortic root size, explaining 1%-3% of trait variance).

CHARGE CONSORTIUM

prospective meta-analysis HEART FAILURE  SMITH 2010

MORTALITY Morrison 2010  (1 snp  1 genome-wide significant locus on chromosome 3p22 in an intron of CKLF-like MARVEL transmembrane domain containing 7 (CMTM7


gwas of CAD/ MI
Validation of eight genetic risk factors in East Asian populations replicated the association of BRAP with coronary artery disease.

Chromosome 9p21 polymorphism is associated with myocardial infarction but not with clinical outcome in Han Chinese.
2009

RESULTS: Patients with MI had higher frequencies of the CC genotype (30.0% vs. 20.7%) or C allele (55.5% vs. 46.2%) compared with controls (all p<0.01). rs1333049 polymorphism was strongly associated with MI [odds ratio (OR) 1.48, 95% confidence interval (CI) 1.22-1.79] after adjusting for traditional risk factors. Although longer hospitalization stay was observed in patients with the rs1333049-C allele, this polymorphism was not related to angiographic severity of CAD, LVEF, and occurrence of MACE after MI.

Significant impact of chromosomal locus 1p13.3 on serum LDL cholesterol and on angiographically characterized coronary atherosclerosis  MUENDLEIN DREXEL 2009


Mechanisms of Disease: the genetic basis of coronary heart disease kULLO 2007 Nature...

cf CHARGE
Design of the Coronary Artery Disease Genome-Wide Replication and Meta-Analysis (CARDIoGRAM) Study -- A Genome-Wide Association Meta-Analysis Involving More than 22,000 Cases and 60,000 Controls.

RGB values of common colors

RGB values of common colors  

clinical trial ontology

xxx Workshop on clinical trial ontology , 2008
- includes PPT presentations