We compare analytically techniques for multiplephoton coincidence imaging in terms of spatial resolution, detector efficiency (or simply efficiency), and system sensitivity for a spherical water phantom (or simply sensitivity). One analysis consists of comparing photon-photon coincidence single-photon-emission computerized tomography (PP-SPECT) with angularly unconstrained, electronically colli...

BACKGROUND The choice of antiepileptic drug for an individual should be based upon the highest quality evidence regarding potential benefits and harms of the available treatments. Systematic reviews and meta-analysis of randomised controlled trials should be a major source of evidence supporting this decision making process. We summarise all available individual patient data evidence from rando...

The problem of large-scale simultaneous hypothesis testing is revisited. Bagging and subagging procedures are put forth with the purpose of improving the discovery power of the tests. The procedures are implemented in both simulated and real data. It is shown that bagging and subagging significantly improve power at the cost of a small increase in false discovery rate with the proposed ‘maximum...

Several multiple comparison procedures (MCPs) are discussed in relation to the specific formulation of type I and type II errors in toxicity studies and the typical one-way design control versus k treatment/dose groups. Examples for these MCPs are: the standard many-to-one MCP (Dunnett's procedure), sequential rejection modifications, closed testing procedures, many-to-one MCPs with an ordered ...

We discuss Bayesian approaches to multiple comparison problems, using a decision theoretic perspective to critically compare competing approaches. We set up decision problems that lead to the use of FDR-based rules and generalizations. Alternative definitions of the probability model and the utility function lead to different rules and problem-specific adjustments. Using a loss function that co...

Suppose that there are k 2 diierent systems (i.e., stochastic processes), where each system has an unknown steady-state mean performance. We consider the problem of running a single-stage simulation using common random numbers to construct simultaneous conndence intervals for i ? max j6 =i j , i = 1; 2; : : : ; k. This is known as multiple comparisons with the best (MCB). Under an assumption th...

Adjustments for making multiple comparisons in large bodies of data are recommended to avoid rejecting the null hypothesis too readily. Unfortunately, reducing the type I error for null associations increases the type II error for those associations that are not null. The theoretical basis for advocating a routine adjustment for multiple comparisons is the "universal null hypothesis" that "chan...

This thesis presents Nonparametric Predictive Inference (NPI) for several multiple comparisons problems. We introduce NPI for comparison of multiple groups of data including right-censored observations. Different right-censoring schemes discussed are early termination of an experiment, progressive censoring and competing risks. Several selection events of interest are considered including selec...

We consider lifetime experiments to compare units from different groups, where the units’ lifetimes may be right-censored. Nonparametric predictive inference for comparison of multiple groups is presented, in particular lower and upper probabilities for the event that a specific group will provide the largest next lifetime. We include the practically relevant consideration that the overall life...