A general introduction to adjustment for multiple comparisons

Semi-Bayes and empirical Bayes adjustment methods for multiple comparisons.

Epidemiological studies often involve multiple comparisons, and may therefore report many "false positive" statistically significant findings simply because of the large number of statistical tests involved. Traditional methods ofadjustment for multiple comparisons, such as the Bonferroni method, may induce investigators to ignore potentially important findings, because they do not take account...

a new approach to credibility premium for zero-inflated poisson models for panel data

هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...

Describing data requires no adjustment for multiple comparisons: a reply from Savitz and Olshan.

The context for discussing multiple comparisons is statistical hypothesis testing and p values, which we dealt with cursorily in our earlier commentary (1) and which Dr. Thompson addresses in detail (2). He organizes the sequence of questions as follows: Should hypothesis tests be used? If they are used, should they be based onp values? If p values are used, should they be adjusted for multiple...

A Short Introduction to Clinical Photography for the Plastic Surgeon

Introduction to a general crystallography.

The definition of an extended crystallographic group is given, based on an n-dimensional Euclidean space, carrier of a faithful integral representation of a permutation group of atomic positions. The Euclidean crystallography of normal crystals and the higher-dimensional one applied to incommensurately modulated crystals, intergrowth crystals and quasicrystals are special cases of a general cry...