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#statstab

5 posts4 participants1 post today
Public
Dr Mircea Zloteanu 🌼🐝

#statstab #315 What fraction of repeat experiments will have an effect size within the 95% confidence interval of the first experiment?

Thoughts: CV is a great place to learn. We see the same answer as Cumming: 83%

#replicability #confidenceintervals #replication #metascience #estimation #research #science

stats.stackexchange.com/questi

Cross ValidatedWhat fraction of repeat experiments will have an effect size within the 95% confidence interval of the first experiment?Let's stick to an ideal situation with random sampling, Gaussian populations, equal variances, no P-hacking, etc. Step 1. You run an experiment say comparing two sample means, and compute a 95%
Public
Dr Mircea Zloteanu 🌼🐝

#statstab #311 The analysis of continuous data from n-of-1 trials using paired cycles: a simple tutorial

Thoughts: @StephenSenn shows how to treat multiple #nof1 studies as a meta-analysis.

#sced #nof1 #metaanalysis #tutorial #clinical

trialsjournal.biomedcentral.co

BioMed CentralThe analysis of continuous data from n-of-1 trials using paired cycles: a simple tutorial - TrialsN-of-1 trials are defined and the popular paired cycle design is introduced, together with an explanation as to how suitable sequences may be constructed.Various approaches to analysing such trials are explained and illustrated using a simulated data set. It is explained how choosing an appropriate analysis depends on the question one wishes to answer. It is also shown that for a given question, various equivalent approaches to analysis can be found, a fact which may be exploited to expand the possible software routines that may be used.Sets of N-of-1 trials are analogous to sets of parallel group trials. This means that software for carrying out meta-analysis can be used to combine results from N-of-1 trials. In doing so, it is necessary to make one important change, however. Because degrees of freedom for estimating variances for individual subjects will be scarce, it is advisable to estimate local standard errors using pooled variances. How this may be done is explained and fixed and random effect approaches to combining results are illustrated.
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