Nicholas Illenberger

Nicholas Illenberger

University of Pennsylvania

H-index: 4

North America-United States

About Nicholas Illenberger

Nicholas Illenberger, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of Biostatistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Acute Lymphoblastic Leukemia Mortality trend in the Federal District, Brazil, 2000-2020: Tendência da mortalidade por leucemia linfoblástica aguda no Distrito Federal, Brasil …

A Cost Comparison Between Mohs Micrographic Surgery and Conventional Excision for the Treatment of Head and Neck Melanomas In Situ and Thin Melanomas

Identifying optimally cost-effective dynamic treatment regimes with a Q-learning approach

Incidence of timely outpatient follow-up care after emergency department encounters for acute heart failure

A regression framework for a probabilistic measure of cost‐effectiveness

Changes in Supplemental Nutrition Assistance Program policies and diabetes prevalence: analysis of behavioral risk factor surveillance system data from 2004 to 2014

Leveraging machine learning predictive biomarkers to augment the statistical power of clinical trials with baseline magnetic resonance imaging

Trends in patient volume by hospital type and the association of these trends with time to cancer treatment initiation

Nicholas Illenberger Information

University

Position

___

Citations(all)

42

Citations(since 2020)

42

Cited By

1

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

1

i10Index(since 2020)

1

Email

University Profile Page

Google Scholar

Nicholas Illenberger Skills & Research Interests

Biostatistics

Top articles of Nicholas Illenberger

Acute Lymphoblastic Leukemia Mortality trend in the Federal District, Brazil, 2000-2020: Tendência da mortalidade por leucemia linfoblástica aguda no Distrito Federal, Brasil …

Concilium

2024/1/21

Nicholas Illenberger
Nicholas Illenberger

H-Index: 1

A Cost Comparison Between Mohs Micrographic Surgery and Conventional Excision for the Treatment of Head and Neck Melanomas In Situ and Thin Melanomas

Dermatologic Surgery

2023/5/1

Nicholas Illenberger
Nicholas Illenberger

H-Index: 1

Identifying optimally cost-effective dynamic treatment regimes with a Q-learning approach

Journal of the Royal Statistical Society Series C: Applied Statistics

2023/5

Nicholas Illenberger
Nicholas Illenberger

H-Index: 1

Nandita Mitra
Nandita Mitra

H-Index: 45

Incidence of timely outpatient follow-up care after emergency department encounters for acute heart failure

Circulation: Cardiovascular Quality and Outcomes

2022/9

Nicholas Illenberger
Nicholas Illenberger

H-Index: 1

Manqing Liu
Manqing Liu

H-Index: 3

Nandita Mitra
Nandita Mitra

H-Index: 45

A regression framework for a probabilistic measure of cost‐effectiveness

Health Economics

2022/7

Nicholas Illenberger
Nicholas Illenberger

H-Index: 1

Nandita Mitra
Nandita Mitra

H-Index: 45

Changes in Supplemental Nutrition Assistance Program policies and diabetes prevalence: analysis of behavioral risk factor surveillance system data from 2004 to 2014

Diabetes Care

2021/12/1

Nicholas Illenberger
Nicholas Illenberger

H-Index: 1

Nandita Mitra
Nandita Mitra

H-Index: 45

Leveraging machine learning predictive biomarkers to augment the statistical power of clinical trials with baseline magnetic resonance imaging

Brain communications

2021/10/1

Trends in patient volume by hospital type and the association of these trends with time to cancer treatment initiation

JAMA network open

2021/7/1

Nicholas Illenberger
Nicholas Illenberger

H-Index: 1

Nandita Mitra
Nandita Mitra

H-Index: 45

Net benefit separation and the determination curve: A probabilistic framework for cost-effectiveness estimation

Statistical methods in medical research

2021/5

Nicholas Illenberger
Nicholas Illenberger

H-Index: 1

Nandita Mitra
Nandita Mitra

H-Index: 45

Impact of regression to the mean on the synthetic control method: bias and sensitivity analysis

Epidemiology

2020/11/1

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