A Response to "Describing Data Requires No Adjustment for Multiple Comparisons"
نویسندگان
چکیده
منابع مشابه
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...
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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 ...
15 صفحه اولNo adjustments are needed for multiple comparisons.
Adjustments for making multiple comparisons in large bodies of data are recommended to avoid rejecting the null hypothesis too readily. Unfortunately, reducing the type I error for null associations increases the type II error for those associations that are not null. The theoretical basis for advocating a routine adjustment for multiple comparisons is the "universal null hypothesis" that "chan...
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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...
متن کاملMultiple time level adjustment for data assimilation
A B S T R A C T Time-stepping schemes in ocean–atmosphere models can involve multiple time levels. Traditional data assimilation implementation considers only the adjustment of the current state using observations available, i.e. the one time level adjustment. However, one time level adjustment introduces an inconsistency between the adjusted and unadjusted states into the model time integratio...
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ژورنال
عنوان ژورنال: American Journal of Epidemiology
سال: 1998
ISSN: 0002-9262,1476-6256
DOI: 10.1093/oxfordjournals.aje.a009533