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Research article

First published 2005-7

Test of the Linear-No Threshold Theory: Rationale for Procedures

Bernard L. Cohen

Dose-Response

Retricted access

Research article

First published 2020-8

The impact of unmeasured within- and between-cluster confounding on the bias of effect estimatorsof a continuous exposure

Yun Li, Yoonseok Lee, Friedrich K Port [...]

Statistical Methods in Medical Research

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Research article

First published 2016-8

Model Misspecification When Eliminating a Factor in Age-period-cohort Multiple Classification Models

Robert M. O’Brien

Sociological Methodology

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Research article

First published 2026-1

Takeover Performance Prediction Based on Function-Based Causal Inference in Level-3 Autonomous Vehicles

Ying Liang, Chen Chai, Weiru Yin [...]

Transportation Research Record: Journal of the Transportation Research Board

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Research article

First published 2003-12

A Probability Index of the Robustness of a Causal Inference

Wei Pan, Kenneth A. Frank

Journal of Educational and Behavioral Statistics

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Research article

First published 2015-12

Meta-analysis: methodological confounders in measuring patient satisfaction

Ari Voutilainen, Taina Pitkäaho, Katri Vehviläinen-Julkunen [...]

Journal of Research in Nursing

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Research article

First published 2023-5

Linear mixed models for investigating effect modification in subgroup meta-analysis

Anne Lyngholm Sørensen, Ian C Marschner

Statistical Methods in Medical Research

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Research article

First published 2019-7

Estimating cost-effectiveness from claims and registry data with measured and unmeasured confounders

Elizabeth A Handorf, Daniel F Heitjan, Justin E Bekelman [...]

Statistical Methods in Medical Research

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Research article

First published 2020-12

Comfortably Numb? Revisiting and Re-Specifying the Relationship Between Health Strain and Substance Use

C. Cory Lowe, Bryan Lee Miller, John Stogner

Crime & Delinquency

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Research article

First published 2022-03

Trade-offs of Linear Mixed Models in Genome-Wide Association Studies

Haohan Wang, Bryon Aragam, Eric P. Xing

Journal of Computational Biology

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