Results 11 to 20 of about 34,617 (237)
24 pages, 1 article*Frequentist Priors* (Hwang, Jiunn T.; Casella, George) 24 ...
Casella, George +4 more
core +6 more sources
Frequentist Post-Data Inference [PDF]
36 pages, 1 article*Frequentist Post-Data Inference* (Goutis, Constantinos; Casella, George) 36 ...
Casella, George +4 more
core +6 more sources
Differences in parameter estimates derived from various methods for the ORYZA (v3) Model
Parameter estimation is always a difficult issue for crop model users, and inaccurate parameter values will result in deceptive model predictions. Parameter values may vary with different inversion methods due to equifinality and differences in the ...
Jun-wei TAN +3 more
doaj +1 more source
Bayesian Repeated-Measures Analysis of Variance: An Updated Methodology Implemented in JASP
Analysis of variance (ANOVA) is widely used to assess the influence of one or more experimental (or quasi-experimental) manipulations on a continuous outcome.
Don van den Bergh +2 more
doaj +1 more source
Frequentist validity of Bayesian limits [PDF]
To the frequentist who computes posteriors, not all priors are useful asymptotically: in this paper, a Bayesian perspective on test sequences is proposed and Schwartz's Kullback-Leibler condition is generalised to widen the range of frequentist ...
Kleijn, B.J.K.
core +2 more sources
A patient called Medical Research
We report the case of a patient called Medical Research who presents with multiple life threatening symptoms, including a plethora of false positive results. This paper describes the course of the disease, discusses possible etiologies and offers options
Tomas Furst, Jan Strojil
doaj +1 more source
On the implementation of local probability matching priors for interest parameters [PDF]
Probability matching priors are priors for which the posterior probabilities of certain specified sets are exactly or approximately equal to their coverage probabilities.
Sweeting, TJ, Trevor J. Sweeting
core +1 more source
Comparison of Bayesian and frequentist group-sequential clinical trial designs
Background There is a growing interest in the use of Bayesian adaptive designs in late-phase clinical trials. This includes the use of stopping rules based on Bayesian analyses in which the frequentist type I error rate is controlled as in frequentist ...
Nigel Stallard +3 more
doaj +1 more source
Rare disease clinical trials are constrained to small sample sizes and may lack placebo-control, leading to challenges in drug development. This paper proposes a Bayesian model-based framework for early go/no-go decision making in rare disease drug ...
Janelle L Lennie +2 more
doaj +1 more source

