Changes between Version 16 and Version 17 of UWSummerStatsWorkshop


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Timestamp:
Jul 24, 2015, 2:55:18 PM (9 years ago)
Author:
iovercast
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  • UWSummerStatsWorkshop

    v16 v17  
    215215* '''Don't use bonferroni, use false discovery rate, but better still use bayesian methods.''' 
    216216* Bayesian approaches in GWAS (Stephens & Balding 2009) 
     217=== Friday AM1 === 
     218* Linear regression 
     219* Model selection 
     220 * Iteratively throw away the least significant regressor until you reach some minimum threshold. It can be good... it can be better than doing nothing. 
     221 * In regression, the t-statistic is the regression coeffecient divided by the standard deviation. Basically any regression coeffecient that's greater than 2 will resemble significance (> 2 std dev). 
     222* Bayesian model selection 
     223 * How to identify the predictors that do have an effect and eliminate the predictors that don't have an effect. 
     224 * Posterior odds = prior odds * Bayes factor 
     225  * BF - how well the data are fit by the model 
     226  * Balance goodness of fit of the observed data with our prior belief that most of the coefficients are probably zero. 
     227 * A model will be penalized if it's too complex (if there are too many terms turned on in the regression model), or if it doesn't fit well (if the sum of squared residuals (SSR) is too big). 
     228* Gibbs sampling 
     229 * Sample from full conditional distributions p(x|y,z), p(y|x,z), etc... 
     230 * Distribution of sequences will approximate the true distribution p(x,y,z) 
     231=== Friday AM2 === 
     232* GLM/GLMM/INLA 
     233* Random variable is the exposure status 
     234 * epsilon-sub(i,j) - Latent variable that induces overdispersion 
     235* GLM  
     236 * Response follows an exponential family 
     237 * mean model is linear in covariates 
     238 * Link function relates mean to covariates 
     239 * Link function is log in poisson, in normal it's identity, binomial is logistic 
     240* INLA - integrated nested Laplace approximation 
     241 * Good docs [http://www.r-inla.org homepage] 
     242 * [https://catalyst.uw.edu/workspace/file/download/60a7af36f75e0e62c8f390abfb283ab21668f1a756e6f4ca72c6f0e1727b5adf Rmd code for INLA] 
     243* GLMM 
     244 * Extends GLM to include random effects (wobble/measurement error) 
     245 * Mixed is a mixture of fixed and random effects 
     246 * Fixed effects + random effects 
     247* Approximate Bayes inference 
     248 * Approximate bayes factor from 2 estimates 
     249 * Bayes factors are not independent 
     250* "Shouldn't say mindless, it's judgmental." 
     251* It looks like a complicated formula, but it's intuitive, and it's just a formula. 
    217252 
    218253==== quotes ==== 
     
    228263* "The only way to do this is to do it." 
    229264* "... Nutritional epidemiology being the poster child for spurious results." 
     265* "Cheating is kind of a dimensionless quantity." 
     266* "It can be good... it can be better than doing nothing." 
     267* "It looks like a complicated formula, but it's intuitive, and it's just a formula."