Publications by authors named "Zhaoling Meng"

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Clinical modeling of motor function to predict treatment efficacy and enable in silico treatment comparisons in infantile-onset Pompe disease.
Fatiha Rachedi, Rana Jreich, Susan Sparks, Atef Zaher, Kristina An Haack, Zhaoling Meng

CPT Pharmacometrics Syst Pharmacol· November 2025

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Evaluating the robustness of an AI pathfinder application on eligibility criteria in multiple myeloma trials using real-world data and historical trials.
Rana Jreich, Hao Zhang, Zhaoling Meng, Fei Wang

J Comp Eff Res· July 2024

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Predict progression free survival and overall survival using objective response rate for anti-PD1/PDL1 therapy development.
Lei Yang, Geethanjali Raveendran, Xiang Meng, Ji Lin, Zhaoling Meng

BMC Cancer· July 2024

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Getting ready for the European Health Data Space (EHDS): IDERHA's plan to align with the latest EHDS requirements for the secondary use of health data.
Rada Hussein, Irina Balaur, Anja Burmann, Hanna Ćwiek-Kupczyńska, Yojana Gadiya, Zhaoling Meng

Open Res Eur· July 2024

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Clinical Pharmacology Applications of Real-World Data and Real-World Evidence in Drug Development and Approval-An Industry Perspective.
Rui Zhu, Bianca Vora, Sujatha Menon, Islam Younis, Gaurav Dwivedi, Zhaoling Meng

Clin Pharmacol Ther· October 2023

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An Overview of Current Methods for Real-world Applications to Generalize or Transport Clinical Trial Findings to Target Populations of Interest.
Albee Y Ling, Maria E Montez-Rath, Paulo Carita, Karen J Chandross, Laurence Lucats, Zhaoling Meng

Epidemiology· September 2023

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Transporting observational study results to a target population of interest using inverse odds of participation weighting.
Albee Y Ling, Rana Jreich, Maria E Montez-Rath, Zhaoling Meng, Kris Kapphahn

PLoS One· December 2022

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Correction to: The role of machine learning in clinical research: transforming the future of evidence generation.
E Hope Weissler, Tristan Naumann, Tomas Andersson, Rajesh Ranganath, Olivier Elemento, Zhaoling Meng

Trials· September 2021

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The role of machine learning in clinical research: transforming the future of evidence generation.
E Hope Weissler, Tristan Naumann, Tomas Andersson, Rajesh Ranganath, Olivier Elemento, Zhaoling Meng

Trials· August 2021

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Low Blood Glucose Index and Hypoglycaemia Risk: Insulin Glargine 300 U/mL Versus Insulin Glargine 100 U/mL in Type 2 Diabetes.
Boris Kovatchev, Zhaoling Meng, Anna M G Cali, Riccardo Perfetti, Marc D Breton

Diabetes Ther· June 2020

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A Shorter Regimen for Rifampin-Resistant Tuberculosis.
Zachary R McCaw, Zhaoling Meng, Lee-Jen Wei

N Engl J Med· September 2019

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Comparison of statistical models adjusting for baseline in the analysis of parallel-group thorough QT/QTc studies.
Guowen Gordon Sun, Hui Quan, Robert Kringle, Zhaoling Meng

J Biopharm Stat· December 2012

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Handling of baseline measurements in the analysis of crossover trials.
Xun Chen, Zhaoling Meng, Ji Zhang

Stat Med· July 2012

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Extraction and preparative purification of tanshinones from Salvia miltiorrhiza Bunge by high-speed counter-current chromatography.
Ailing Sun, Yongqing Zhang, Aifeng Li, Zhaoling Meng, Renmin Liu

J Chromatogr B Analyt Technol Biomed Life Sci· July 2011

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Sample size calculation for thorough QT/QTc study considering various factors related to multiple time points.
Zhaoling Meng, Robert Kringle, Xun Chen, Peng-Liang Zhao

J Biopharm Stat· May 2010

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Use of the average baseline versus the time-matched baseline in parallel group thorough QT/QTc studies.
Zhaoling Meng, Hui Quan, Li Fan, Robert Kringle, Gordon Sun

J Biopharm Stat· May 2010

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Isolation and purification of flavonoid and isoflavonoid compounds from the pericarp of Sophora japonica L. by adsorption chromatography on 12% cross-linked agarose gel media.
Yuanying Qi, Ailing Sun, Renmin Liu, Zhaoling Meng, Hongyan Xie

J Chromatogr A· January 2007

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Eigengene-based linear discriminant model for tumor classification using gene expression microarray data.
Ronglai Shen, Debashis Ghosh, Arul Chinnaiyan, Zhaoling Meng

Bioinformatics· November 2006

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Contrasting linkage-disequilibrium patterns between cases and controls as a novel association-mapping method.
Dmitri V Zaykin, Zhaoling Meng, Margaret G Ehm

Am J Hum Genet· May 2006

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Interval estimation of genetic susceptibility for retrospective case-control studies.
Dmitri V Zaykin, Zhaoling Meng, Sujit K Ghosh

BMC Genet· May 2004

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Selection of genetic markers for association analyses, using linkage disequilibrium and haplotypes.
Zhaoling Meng, Dmitri V Zaykin, Chun-Fang Xu, Michael Wagner, Margaret G Ehm

Am J Hum Genet· July 2003

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