Selective inference with a randomized response

New Randomized Response Procedures

This article focuses on the estimation of population proportion when the study variable is sensitive in nature. Two implicit randomized response techniques are proposed where the unrelated trait can be chosen subjectively. In addition to unbiased estimation of population proportion and variance, an empirical study is conducted to inspect the relative efficiency facet of the proposed techniques....

Causal Inference in Randomized Trials with Noncompliance

The Effect Of Selective Neck Muscle Release Techniques On Clinical Indicators of Patients with Migraine Headache: A Randomized Controlled Trial

Objective: Subjects with migraine headache often have stiff posture, especially in the head and neck. Also, these patients often have reduced cervical range of motion, faulty posture, forward head posture, increased sensitivity on the cervical muscles, and myofascial pain syndrome. Myofascial Trigger Points (MTrPs) are considered as the contributing factors to migraine headache. They produce pa...

Randomized parcellation based inference

Neuroimaging group analyses are used to relate inter-subject signal differences observed in brain imaging with behavioral or genetic variables and to assess risks factors of brain diseases. The lack of stability and of sensitivity of current voxel-based analysis schemes may however lead to non-reproducible results. We introduce a new approach to overcome the limitations of standard methods, in ...

Selective inference in complex research.

We explain the problem of selective inference in complex research using a recently published study: a replicability study of the associations in order to reveal and establish risk loci for type 2 diabetes. The false discovery rate approach to such problems will be reviewed, and we further address two problems: (i) setting confidence intervals on the size of the risk at the selected locations an...