Samuel C Kou

Samuel C Kou

Harvard University

H-index: 27

North America-United States

About Samuel C Kou

Samuel C Kou, With an exceptional h-index of 27 and a recent h-index of 17 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Statistics.

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

Large‐scale real‐world data analyses of cancer risks among patients with rheumatoid arthritis

Estimating and Assessing Differential Equation Models with Time-Course Data

Catalytic priors: Using synthetic data to specify prior distributions in bayesian analysis

MAGI: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-constrained Gaussian Processes

Forecasting unemployment using Internet search data via PRISM

Real-world data analyses unveiled the immune-related adverse effects of immune checkpoint inhibitors across cancer types

Inference of dynamic systems from noisy and sparse data via manifold-constrained Gaussian processes

Use internet search data to accurately track state level influenza epidemics

Samuel C Kou Information

University

Position

Professor of Statistics

Citations(all)

5511

Citations(since 2020)

1844

Cited By

4602

hIndex(all)

27

hIndex(since 2020)

17

i10Index(all)

44

i10Index(since 2020)

33

Email

University Profile Page

Google Scholar

Samuel C Kou Skills & Research Interests

Statistics

Top articles of Samuel C Kou

Large‐scale real‐world data analyses of cancer risks among patients with rheumatoid arthritis

International Journal of Cancer

2023/9/15

Nathan Palmer
Nathan Palmer

H-Index: 2

Samuel C Kou
Samuel C Kou

H-Index: 18

Estimating and Assessing Differential Equation Models with Time-Course Data

The Journal of Physical Chemistry B

2023/3/9

Catalytic priors: Using synthetic data to specify prior distributions in bayesian analysis

arXiv preprint arXiv:2208.14123

2022/8/30

MAGI: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-constrained Gaussian Processes

arXiv preprint arXiv:2203.06066

2022/3/11

Forecasting unemployment using Internet search data via PRISM

Journal of the American Statistical Association

2021/10/2

Real-world data analyses unveiled the immune-related adverse effects of immune checkpoint inhibitors across cancer types

NPJ precision oncology

2021/9/10

Inference of dynamic systems from noisy and sparse data via manifold-constrained Gaussian processes

Proceedings of the National Academy of Sciences

2021/4/13

Use internet search data to accurately track state level influenza epidemics

Scientific reports

2021/2/17

Unmasking the actual COVID-19 case count

Clinical Infectious Diseases

2020/12/1

Reproducible machine learning methods for lung cancer detection using computed tomography images: Algorithm development and validation

Journal of medical Internet research

2020/8/5

Catalytic prior distributions with application to generalized linear models

Proceedings of the National Academy of Sciences

2020/6/2

Statistical methodology in single-molecule experiments

Statistical Science

2020/2/1

Autoimmune effects of lung cancer immunotherapy revealed by data‐driven analysis on a nationwide cohort

Clinical Pharmacology & Therapeutics

2020/2

See List of Professors in Samuel C Kou University(Harvard University)