Berkson's Bias, Selection Bias, and Missing Data

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Selection Bias, Label Bias, and Bias in Ground Truth

Language technology is biased toward English newswire. In POS tagging, we get 97–98 words right out of a 100 in English newswire, but results drop to about 8 out of 10 when running the same technology on Twitter data. In dependency parsing, we are able to identify the syntactic head of 9 out of 10 words in English newswire, but only 6–7 out of 10 in tweets. Replace references to Twitter with re...

متن کامل

A comparison of missing data procedures for addressing selection bias in HIV sentinel surveillance data

BACKGROUND Selection bias is common in clinic-based HIV surveillance. Clinics located in HIV hotspots are often the first to be chosen and monitored, while clinics in less prevalent areas are added to the surveillance system later on. Consequently, the estimated HIV prevalence based on clinic data is substantially distorted, with markedly higher HIV prevalence in the earlier periods and trends ...

متن کامل

Selection bias: A missing factor in the Obesity Paradox debate

The September issue of Obesity featured articles by Tobias and Hu (1) and Flegal and Kalantar-Zadeh (2) that explored the observation that, in clinical populations, such as individuals with heart failure, chronic kidney disease, or diabetes, those with higher BMI often have lower mortality rates than leaner individuals. The articles disagree whether this phenomenon, known as the obesity paradox...

متن کامل

Selection Bias

data in Haneuse et al. [1] . The risk ratio of dementia by exposure in the total target population is 2.0, and is the true association (there is no confounding in our simple DAG; fig. 1 ). Table 1 shows the expected distribution by exposure and outcome by strata of dead/alive under the following assumptions: half of the population dies; there is a risk ratio of death for the exposed compared to...

متن کامل

Correcting Sample Selection Bias by Unlabeled Data

We consider the scenario where training and test data are drawn from different distributions, commonly referred to as sample selection bias. Most algorithms for this setting try to first recover sampling distributions and then make appropriate corrections based on the distribution estimate. We present a nonparametric method which directly produces resampling weights without distribution estimat...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Epidemiology

سال: 2012

ISSN: 1044-3983

DOI: 10.1097/ede.0b013e31823b6296