wald test

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    Likelihood ratio or wald test for meta-analysis

    Hi there! This is my first time posting but I've always been a frequent lurker on previous posts that have been super helpful, so apologies if I'm not following any appropriate etiquette. I am working on an RNA sequencing project and looking have different outputs, which provides either a...
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    Bootstrapping wald test scores following SUR with panel data

    Hey everyone. Can anyone help me implement these steps into R code? Using this system: [url=http://i.stack.imgur.com/J3qBB.png] I found this piece of R code which might be helpful: # Sample Size N <- 2^12; # Linear Model to Boostrap Model2Boot <- lm( mpg ~ wt...
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    Bootstrapping test statistics with panel data and SUR

    As a newbie to bootstrapping, I'm having some trouble with developing with critical wald test scores for every observation in my panel dataset. I'm using a Seemingly Unrelated Regression to predict residuals, but then I'm unsure how to resample these and develop these critical wald test values...
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    Cox/ Binomial Regression: How to reconcile Non-significant model with significant IVs

    Hello I'm been performing some survival and regression analyses corresponding to an event of interest being death or a certain surgical procedure, namely a shunt revision for pediatric neuro-surgical patients. I know how to properly execute the procedures w/i SPSS and am familiar w/ the...
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    Binary Logistic SNAFU

    Hello, I'm curious if I have coded my variables incorrectly for an analysis. Here's a brief explanation: Independent variables: X1: temperature (ordinal: 10 or 4 degrees C) X2: treatment group (categorical: exposed to pathogen or not) X3: sex (categorical...) X4: index of body...
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    Granger / Wald test interpretation

    Hi, I have the following results from a Granger test. Can someone tell me how to interpret them? I understand that p.val(ue) < 0.05 is significant for rejecting the null hypothesis. BUT do ftest or r2(squared) add info information? A g-cause B ftest = 7.523583 p.val = 0.006165445 R2 =...
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    how to test for significant differencecs in ML estimates after optim()

    I am trying to test whether or not there is a significant difference between maximum likelihood estimates of two genetic parameters (selection and dominance) across two environments with genotype data from a cross. There are three genotype classes, C11, C12, and C22, and I am looking to maximize...