ProbabilityBabiesMy friend E.J. Wagenmakers sent me a copy of his Bayesian Thinking for Toddlers, with the selling line "a must-have for any toddler with even a passing interest in Ockham's razor and the prequential principle." E.J. wrote the 43-page story and Viktor Beekman (of JASP...
In contrast, the classical confidence interval procedure can do no more than provide X% confidence intervals. It is not possible within the classical framework to specify the interval bounds and then ask for the probability or confidence that the true value is within these bounds. This is aserio...
The BFrf is the ratio of the probability of the data under the random-effects model over the probability of the data under the fixed-effect model. The categories of strength of the evidence in favor of the random effects or the fixed effect were similar to those described already for BF10...
The aim of this paper is to use inverse probability weighting on the Bayesian logistic model developmental outcome. The Mental Development Index (MDI) approach is used for assessing the cognitive development of those born very preterm. Almost half of the information for the babies was missing, ...
Anti vaxxers are all coming from the same places essentially: putting stuff in babies to mess with nature is scary, especially with stuff that is known to be toxic to humans (mercury and aluminum, though this particular mercury has been shown to be fine) or really gross, there are more th...
In Figure 8, we observe that the marginal probability distribution of each feature has similar probabilities for their categories, with the exceptions of “hypertensionpersonalhistory”, “tobaccouse”, “diabetesfamilyhistory”, “nupucells1”, and “specificplacearelivealivedincountyof”, which have...
The BPOR approach gives much narrower 95% interval estimates for odds ratios compared to logistic regression directly on the dichotomized SRS score because it uses the underlying linear model for SRS to predict the probability that SRS > 60. Additionally, we used the MCMC samples to calculate ...
The quantity 1 – plogis (60, β, λ) is the probability that SRS >60, and plogis(.) is the cumulative distribution function of a logistic random variable. Because of the properties of the logistic distribution, the value of the BPOR (e.g., for Q4 versus Q1) does not depend on ...