On Likelihoodism:
Fitelson, Likelihoodism, Bayesianism, and Relational Confirmation
D. Steel, Bayesian Confirmation Theory and the Likelihood Principle
Fitelson, The Plurality of Bayesian Measures of Confirmation and the Problem of Measure Sensitivity (on Bayesian confirmation)
On Frequentism
S. Goodman and R. Royall, Evidence and Scientific Research
S. Goodman, Toward Evidence-Based Medical Statistics I – the P-value Fallacy
S. Goodman, Toward Evidence-Based Medical Statistics 2 – the Bayes Factor
Royall, Neyman-Pearson theory (Chap 2 of Statistical Evidence)
Royall, Fisherian theory (Chap 3 of Statistical Evidence)
Neyman and Pearson, On the problem of the most efficient tests of statistical hypotheses (the original foundational paper)
The New Math of Clinical Trials (the Bayesian doctor)
On Stopping Rules:
Mayo Why you cannot be just a little bit Bayesian (Chap 10 of Error and the Growth of Experimental Knowledge)
Backe, The Likelihood Principle and the reliability of experiments
Kadane et al. When several bayesians agree that there will be no reasoning to a forgone conclusion (very technical facts about stopping rules)