Propensity scores with misclassified treatment assignment: a likelihood-based adjustment

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

Estimation of average treatment effects based on propensity scores

In this paper, we give a short overview of some propensity score matching estimators suggested in the evaluation literature and we provide a set of Stata programs which we illustrate using the National Supported Work (NSW) demonstration widely known in labor economics.

متن کامل

Invited commentary: propensity scores.

The propensity score is the conditional probability of exposure to a treatment given observed covariates. In a cohort study, matching or stratifying treated and control subjects on a single variable, the propensity score, tends to balance all of the observed covariates; however, unlike random assignment of treatments, the propensity score may not also balance unobserved covariates. The authors ...

متن کامل

Demystifying propensity scores.

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 o...

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

Matching and Propensity Scores

The popularity of matching techniques has increased considerably during the last decades. They are mainly used for matching treatment and control units in order to estimate causal treatment effects from observational studies or for integrating two or more data sets that share a common subset of covariates. In focusing on causal inference with observational studies, we discuss multivariate match...

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: Biostatistics

سال: 2017

ISSN: 1465-4644,1468-4357

DOI: 10.1093/biostatistics/kxx014