Andrew Chapple

Assistant Professor

LSU Health Sciences Center

United States

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Andrew Chapple is an Assistant Professor at LSU Health Sciences Center, School of Medicine in the United States. His research areas encompass orthodontic treatment methodologies, nutritional aspects of bone healing, and innovative clinical trial designs. Recent publications include studies on shear bond strength in orthodontics, cephalometric tracing technology, and the impacts of surgical delay on patient outcomes.

Articles (10)

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2025

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

Collaborators (7)

Pavlos Msaouel

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Ruitao Lin

Assistant Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Peter F Thall

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Derek Gordon

Associate Professor

Rutgers University

UNITED STATES

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Kay Schwenke

Head of department

University Medical Centre Mannheim

GERMANY

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Amanda J. Fairchild

University of South Carolina

UNITED STATES

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Andrew Brown

UNITED STATES

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Andrew Chapple

Research Interests

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Articles (10)

An in vitro study of orthodontic brackets bonded to transition dental zirconia: Shear bond strength, adhesive remnant index, and surface irregularities

Assessing AudaxCeph®’s cephalometric tracing technology versus a semi-automated approach for analyzing severe Class II and Class III skeletons

Nutritional Indicators of Bone Nonunion: A Systematic Review

Shear bond strength of orthodontic brackets to single-shade composite surfaces: An in-vitro comparative study of different surface preparations

A Modified Switching Procedure from Temporary to Tunneled Central Venous Dialysis Catheters

Is Bipolar Radiofrequency-Assisted Liposuction Equivalent to Open Anterior Platysmaplasty in Facelift Surgery?

Design, analysis, and interpretation of treatment response heterogeneity in personalized nutrition and obesity treatment research

Novel clinical trial designs with dose optimization to improve long-term outcomes

Inclusion of binary proxy variables in logistic regression improves treatment effect estimation in observational studies in the presence of binary unmeasured confounding variables

Does Preoperative Surgical Delay Lead to Increased Postsurgical Length of Stay or Reoperation in Patients With Severe Odontogenic Infections?

Collaborators (7)

Pavlos Msaouel

Ruitao Lin

Peter F Thall

Derek Gordon

Kay Schwenke

Amanda J. Fairchild

Andrew Brown

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