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thestatsgeek.com

The Stats Geek

A blog about statistics, with a particular focus on biostatistics applications.

http://www.thestatsgeek.com/

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https://thestatsgeek.com

A blog about statistics, with a particular focus on biostatistics applications.

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1

List of all Posts – The Stats Geek

http://thestatsgeek.com/list-of-posts

List of all Posts. List of all Posts. Bayesian inference: are parameters fixed or random? My first foray with Stan. Automatic convergence checking in Bayesian inference with runjags. Potential outcomes, counterfactuals, causal effects, and randomization. Conditional randomization, standardization, and inverse probability weighting. Estimating causal effects from observational studies. Using hazard ratios to estimate causal effects in RCTs. Estimating effects when outcomes are truncated by death. R square...

2

Wald vs likelihood ratio test – The Stats Geek

http://thestatsgeek.com/2014/02/08/wald-vs-likelihood-ratio-test

List of all Posts. Wald vs likelihood ratio test. February 8, 2014. June 28, 2016. As a running example, we'll use the case of estimating the probability. Of success in a binomial experiment. We'll let X denote the random variable for the number of observed successes, and x its realised value. The likelihood function is simply the binomial probability function, but where the argument is the model parameter. For the binomial distribution the probability mass function is given by. The 196 is the 97.5% ...

3

R squared/correlation depends on variance of predictor – The Stats Geek

http://thestatsgeek.com/2015/06/16/r-squaredcorrelation-depends-on-variance-of-predictor

List of all Posts. R squared/correlation depends on variance of predictor. June 16, 2015. June 16, 2015. I've written about R squared a few times before. In a discussion I was involved with today the question was raised as to how/whether the R squared in a linear regression model with a single continuous predictor depends on the variance of the predictor variable. The answer to the question is of course yes. Let's suppose the simplest possible linear model between an outcome. The variance explained by.

4

Bayesian inference – The Stats Geek

http://thestatsgeek.com/category/bayesian-inference

List of all Posts. Automatic convergence checking in Bayesian inference with runjags. August 13, 2015. I've been performing some simulation studies comparing a Bayesian to a more traditional frequentist estimation approach in a particular problem. To do this I've been using the excellent JAGS package. My first foray with Stan. June 8, 2015. June 8, 2015. A number of people have mentioned Stan. Was the first package to really allow users to fit complex, user defined models with Bayesian methods. As fa...

5

Jonathan Bartlett – The Stats Geek

http://thestatsgeek.com/author/jwb133googlemail-com

List of all Posts. Confidence intervals for the hazard ratio in RCTs which agree with log rank test. August 4, 2016. August 4, 2016. Multiple imputation for informative censoring R package. July 28, 2016. Yesterday the Advanced Analytics Centre at AstraZeneca publicly released the InformativeCensoring package for R, on GitHub. Estimands and assumptions in clinical trials. July 6, 2016. July 7, 2016. Today I listened to a great Royal Statistical Society webinar, with Alan Phillips and Peter Diggle (curren...

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List of all Posts. Automatic convergence checking in Bayesian inference with runjags. August 13, 2015. I've been performing some simulation studies comparing a Bayesian to a more traditional frequentist estimation approach in a particular problem. To do this I've been using the excellent JAGS package. Multiarm trials - should we allow for multiplicity? June 30, 2015. July 27, 2015. In London. Among the topics he touched on were multi-arm trials (and extensions), as an attractive alternative to the cl...

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