Yu, Chang Zelterman, Daniel
Published in
Journal of Statistical Distributions and Applications
We develop the distribution for the number of hypotheses found to be statistically significant using the rule from Simes (Biometrika 73: 751–754, 1986) for controlling the family-wise error rate (FWER). We find the distribution of the number of statistically significant p-values under the null hypothesis and show this follows a normal distribution ...
Ye, Ziwei Wang, Zheng Hou, Yiping
Published in
Forensic science international. Genetics
The application of Bonferroni correction (BC) has been constantly controversial; nevertheless, in forensic population genetics research, it is common to apply it to Hardy-Weinberg equilibrium (HWE) tests referring to multiple loci. This letter aimed to discuss the problems of applying BC to HWE tests involving multiple loci by surveying population ...
Kaler, Avjinder S. Purcell, Larry C.
Published in
BMC Genomics
BackgroundSelection of an appropriate statistical significance threshold in genome-wide association studies is critical to differentiate true positives from false positives and false negatives. Different multiple testing comparison methods have been developed to determine the significance threshold; however, these methods may be overly conservative...
Sjölander, Arvid Vansteelandt, Stijn
Multiple tests arise frequently in epidemiologic research. However, the issue of multiplicity adjustment is surrounded by confusion and controversy, and there is no uniform agreement on whether or when adjustment is warranted. In this paper we compare frequentist and Bayesian frameworks for multiple testing. We argue that the frequentist framework ...
Andrade, Chittaranjan
Published in
Indian Journal of Psychological Medicine
In a given study, if many related outcomes are tested for statistical significance, one or more outcomes may emerge significant at the P
Gandy, Axel Hahn, Georg
Published in
Statistics and Computing
Multiple hypothesis testing is widely used to evaluate scientific studies involving statistical tests. However, for many of these tests, p values are not available and are thus often approximated using Monte Carlo tests such as permutation tests or bootstrap tests. This article presents a simple algorithm based on Thompson Sampling to test multiple...
Asikanius, Elina Rufibach, Kaspar Bahlo, Jasmin Bieska, Gabriele Burger, Hans Ulrich
Published in
Biometrical journal. Biometrische Zeitschrift
To optimize resources, randomized clinical trials with multiple arms can be an attractive option to simultaneously test various treatment regimens in pharmaceutical drug development. The motivation for this work was the successful conduct and positive final outcome of a three-arm randomized clinical trial primarily assessing whether obinutuzumab pl...
Kucuk, Ugur Eyuboglu, Mehmet Kucuk, Hilal Olgun Degirmencioglu, Gokhan
Published in
International journal of cardiology
Jupiter, Daniel C
Published in
The Journal of foot and ankle surgery : official publication of the American College of Foot and Ankle Surgeons
Carrying out too many statistical tests in a single study throws results into doubt, for reasons statistical and ethical. I discuss why this is the case and briefly mention ways to handle the problem.
Gokhale, Priyanka Mania-Pramanik, Jayanti Sonawani, Archana Idicula-Thomas, Susan Kerkar, Shilpa Tongaonkar, Hemant Chaudhari, Hemangi Warke, Himangi Salvi, Vinita
Published in
Immunogenetics
We studied the relationship between human leukocyte antigen (HLA) class I alleles and cervical cancer among Indian women. Seventy-five cervical cancer cases were compared with 175 noncancer controls. Cervical biopsy tissue specimen from cancer cases and cervical swab specimen from controls were collected for HPV detection and typing. Blood was take...