Demystifying propensity scores.

نویسندگان

  • G N Okoli
  • R D Sanders
  • P Myles
چکیده

1 Health Protection and Influenza Research Group, Division of Epidemiology and Public Health, University of Nottingham, Nottingham, UK 2 Department of Anaesthesia, National Hospital for Neurology and Neurosurgery, & Surgical Outcomes Research Centre, University College London Hospital, London, UK 3 Wellcome Department of Imaging Neuroscience, University College London, London, UK 4 Department of Anaesthesia, National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Comment: Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data

This article is an excellent introduction to doubly robust methods and we congratulate the authors for their thoroughness in bringing together the wide array of methods from different traditions that all share the property of being doubly robust. Statisticians at RAND have been making extensive use of propensity score weighting in education (McCaffrey and Hamilton (2007)), policing and criminal...

متن کامل

استفاده از Propensity Score برای همسان سازی نمونه ها در یک مطالعه مورد شاهدی

Background and Aim: Case-Control studies provide evidence in the area of health. Validity and accuracy of such studies depend to a large extent on the similarity (similar distributions) of the case and control groups according to confounding variables. Matching is a method for controlling or eliminating the effects of important confounders. Matching using propensity score has recently been intr...

متن کامل

<hw>Propensity Scores

Abstract Propensity scores represent the probability that an individual is assigned to a treatment group given the individual’s scores on a set of covariates. Propensity scores are used in nonrandomized studies to equate treatment and control groups on a large number of covariates measured at baseline. Assumptions necessary for propensity score analysis to yield a valid estimate of t...

متن کامل

A comparison of two methods of estimating propensity scores after multiple imputation.

In many observational studies, analysts estimate treatment effects using propensity scores, e.g. by matching or sub-classifying on the scores. When some values of the covariates are missing, analysts can use multiple imputation to fill in the missing data, estimate propensity scores based on the m completed datasets, and use the propensity scores to estimate treatment effects. We compare two ap...

متن کامل

Performance of disease risk scores, propensity scores, and traditional multivariable outcome regression in the presence of multiple confounders.

Propensity scores are widely used in cohort studies to improve performance of regression models when considering large numbers of covariates. Another type of summary score, the disease risk score (DRS), which estimates disease probability conditional on nonexposure, has also been suggested. However, little is known about how it compares with propensity scores. Monte Carlo simulations were condu...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • British journal of anaesthesia

دوره 112 1  شماره 

صفحات  -

تاریخ انتشار 2014