MOTIVATION The advent of high throughput data has led to a massive increase in the number of hypothesis tests conducted in many types of biological studies and a concomitant increase in stringency of significance thresholds. Filtering methods, which use independent information to eliminate less promising tests and thus reduce multiple testing, have been widely and successfully applied. However,...

We construct two classes of smoothed empirical likelihood ratio tests for the conditional independence hypothesis by writing the null hypothesis as an infinite collection of conditional moment restrictions indexed by a nuisance parameter. One class is based on the CDF; another is based on smoother functions. We show that the test statistics are asymptotically normal under the null hypothesis an...

The statistic p(rep) estimates the probability of replicating an effect. It captures traditional publication criteria for signal-to-noise ratio, while avoiding parametric inference and the resulting Bayesian dilemma. In concert with effect size and replication intervals, p(rep) provides all of the information now used in evaluating research, while avoiding many of the pitfalls of traditional st...

The local model for differential privacy is emerging as the reference model for practical applications of collecting and sharing sensitive information while satisfying strong privacy guarantees. In the local model, there is no trusted entity which is allowed to have each individual’s raw data as is assumed in the traditional curator model for differential privacy. Individuals’ data are usually ...

Example 1 The standard treatment for a disease works in 0.675 of all patients. A new treatment is proposed. Is it better? (The scientists who created it claim it is. You – as an advocate for a patient or sales personnel for the company that eventually would market it – must be more skeptical. Where’s the data?) An initial clinical trial of n = 100 patients (of similar general health) is conduct...

In this paper, we have established a general framework of multistage hypothesis tests which applies to arbitrarily many mutually exclusive and exhaustive composite hypotheses. Within the new framework, we have constructed specific multistage tests which rigorously control the risk of committing decision errors and are more efficient than previous tests in terms of average sample number and the ...

this study empirically examines whether managers manipulate reported income through the timing of sales of long-lived assets and investments. several empirical implications of the income-smoothing and debt-equity hypothesis in the context of asset sales were tested. the findings are consistent with the timing of asset sales by managers so that the recognized accounting income from these sales s...

Bootstrap tilting conndence intervals could be the method of choice in many applications for reasons of both speed and accuracy. With the right implementation , tilting intervals are 37 times as fast as bootstrap BC-a limits, in terms of the number of bootstrap samples needed for comparable simulation accuracy. Thus 100 bootstrap samples might suuce instead of 3700. Tilting limits have other de...