Joakim Nyberg

About Joakim Nyberg

Joakim Nyberg, With an exceptional h-index of 15 and a recent h-index of 10 (since 2020), a distinguished researcher at Uppsala Universitet,

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

Subcutaneous Marzeptacog Alfa (Activated) for On‐Demand Treatment of Bleeding Events in Subjects With Hemophilia A or B With Inhibitors

Using forest plots to interpret covariate effects in pharmacometric models

Properties of the full random‐effect modeling approach with missing covariate data

Statistical recommendations for count, binary, and ordinal data in rare disease cross-over trials

Machine learning and pharmacometrics for prediction of pharmacokinetic data: differences, similarities and challenges illustrated with rifampicin

Exposure–response analyses for the MET inhibitor tepotinib including patients in the pivotal VISION trial: support for dosage recommendations

A quantitative approach to the choice of number of samples for percentile estimation in bootstrap and visual predictive check analyses

An introduction to the full random effects model

Joakim Nyberg Information

University

Position

Senior Consultant Pharmetheus Researcher Pharmacometrics

Citations(all)

1051

Citations(since 2020)

486

Cited By

740

hIndex(all)

15

hIndex(since 2020)

10

i10Index(all)

22

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Top articles of Joakim Nyberg

Subcutaneous Marzeptacog Alfa (Activated) for On‐Demand Treatment of Bleeding Events in Subjects With Hemophilia A or B With Inhibitors

Clinical Pharmacology & Therapeutics

2024/3

Joakim Nyberg
Joakim Nyberg

H-Index: 10

Using forest plots to interpret covariate effects in pharmacometric models

CPT: Pharmacometrics & Systems Pharmacology

2024/2/28

Joakim Nyberg
Joakim Nyberg

H-Index: 10

Properties of the full random‐effect modeling approach with missing covariate data

Statistics in Medicine

2024/2/28

Joakim Nyberg
Joakim Nyberg

H-Index: 10

Statistical recommendations for count, binary, and ordinal data in rare disease cross-over trials

Orphanet Journal of Rare Diseases

2023/12/19

Geert Molenberghs
Geert Molenberghs

H-Index: 53

Joakim Nyberg
Joakim Nyberg

H-Index: 10

Machine learning and pharmacometrics for prediction of pharmacokinetic data: differences, similarities and challenges illustrated with rifampicin

Pharmaceutics

2022/7/22

Exposure–response analyses for the MET inhibitor tepotinib including patients in the pivotal VISION trial: support for dosage recommendations

Cancer Chemotherapy and Pharmacology

2022/7

Joakim Nyberg
Joakim Nyberg

H-Index: 10

A quantitative approach to the choice of number of samples for percentile estimation in bootstrap and visual predictive check analyses

CPT: Pharmacometrics & Systems Pharmacology

2022/6

Joakim Nyberg
Joakim Nyberg

H-Index: 10

An introduction to the full random effects model

CPT: pharmacometrics & systems pharmacology

2022/2

A comparison of automatic differentiation and continuous sensitivity analysis for derivatives of differential equation solutions

2021/9/20

MO01. 47 Tepotinib Exposure-Response Analyses of Safety and Efficacy in Patients with Solid Tumors

Journal of Thoracic Oncology

2021/1/1

584P Tepotinib exposure-response analyses of safety and efficacy in patients with solid tumours

Annals of Oncology

2020/9/1

Population volume kinetics in volunteers: Reply

Anesthesiology

2020/2/20

Joakim Nyberg
Joakim Nyberg

H-Index: 10

Accelerated predictive healthcare analytics with pumas, a high performance pharmaceutical modeling and simulation platform

2020/11/30

See List of Professors in Joakim Nyberg University(Uppsala Universitet)