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Benjamin Littenberg

Researcher at University of Vermont

Publications -  208
Citations -  13026

Benjamin Littenberg is an academic researcher from University of Vermont. The author has contributed to research in topics: Population & Randomized controlled trial. The author has an hindex of 57, co-authored 188 publications receiving 12268 citations. Previous affiliations of Benjamin Littenberg include Case Western Reserve University & Dartmouth College.

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Combining independent studies of a diagnostic test into a summary roc curve: Data‐analytic approaches and some additional considerations

TL;DR: To avoid model-dependent extrapolation from irrelevant regions of ROC space, this work proposes defining a priori a value of FPR so large that the test simply would not be used at that FPR, and avalue of TPR so low that theTestWould not be use at that TPR.
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The Single Item Literacy Screener: Evaluation of a brief instrument to identify limited reading ability

TL;DR: The SILS performs moderately well at ruling out limited reading ability in adults and allows providers to target additional assessment of health literacy skills to those most in need.
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Medical and Surgical Treatment of Parapneumonic Effusions* An Evidence-Based Guideline

TL;DR: A panel of the American College of Chest Physicians developed a clinical practice guideline on the medical and surgical treatment of parapneumonic effusions (PPE) using evidence-based methods as mentioned in this paper.
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Outcomes after Displaced Fractures of the Femoral Neck. A Meta-Analysis of One Hundred and Six Published Reports.

TL;DR: Some reports showed promising results after total hip replacement for displaced fractures of the femoral neck; however, randomized clinical trials are still needed to establish the value of this treatment.
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Estimating Diagnostic Accuracy from Multiple Conflicting Reports: A New Meta-analytic Method

TL;DR: A method to summarize disparate reports that uses a logistic transformation and linear regression to produce a summary receiver operating characteristic curve is presented, useful for summarizing a body of diagnostic accuracy literature, comparing technologies, detecting outliers, and finding the optimum operating point of the test.