Publications by Robert Staudte

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Indicators of Evidence for Bioequivalence

Stephan Morgenthaler, Robert Staudte

Some equivalence tests are based on two one-sided tests, where in many applications the test statistics are approximately normal. We define and find evidence for equivalence in Z-tests and then one-and two-sample binomial tests as well as for t-tests. Mult ...

Mdpi Ag2016

Combining Statistical Evidence

Stephan Morgenthaler, Robert Staudte

The combination of evidence from independent studies has a curious history. The origins reach back at least to the beginning of the 20th century. Since the mid-1970s, meta-analysis has become popular in several fields, among them medical statistics and the ...

Wiley-Blackwell2014

Evidence for Alternative Hypotheses

Stephan Morgenthaler, Robert Staudte

Most researchers want evidence for the direction of an effect, not evidence against a point null hypothesis. Such evidence is ideally on a scale that is easily in- terpretable, with an accompanying standard error. Further, the evidence from iden- tical exp ...

Springer2013

Evidence for Alternative Hypotheses

Stephan Morgenthaler, Robert Staudte

Most researchers want evidence for the direction of an effect, not evidence against a point null hypothesis. Such evidence is ideally on a scale that is easily interpretable, with an accompanying standard error. Further, the evidence from identical experim ...

Springer2012

Advantages of Variance Stabilization

Stephan Morgenthaler, Robert Staudte

Variance stabilization is a simple device for normalizing a statistic. Even though its large sample properties are similar to those of studentizing, many simulation studies of confidence interval procedures show that variance stabilization works better for ...

Wiley-Blackwell2012

Variance Stabilizing the Difference of Two Binomial Proportions

Stephan Morgenthaler, Robert Staudte

The article studies estimation of Delta = p(1) - p(2), the difference of two proportions p(1) and p(2), based on two independent Binomial experiments of size n(1) and n(2). The usual estimator, the difference between the two sample proportions, is variance ...

American Statistical Association2010

Conditionally optimal weights of evidence

Stephan Morgenthaler, Robert Staudte

A weight of evidence is a calibrated statistic whose values in [0, 1] indicate the degree of agreement between the data and either of two hypothesis, one being treated as the null (H 0) and the other as the alternative (H 1). A value of zero means perfect ...

Springer-Verlag2005

Optimal weights of evidence with bounded influence

Stephan Morgenthaler, Robert Staudte

A fundamental statistical problem is to indicate which of two hypotheses is better supported by the data. Statistics designed for this purpose are called weight of evidence. In this paper we study the problem of robust weights of evidence, optimal in their ...

2002