Suchergebnisse - "Survival Analysis"

PubPharm (1.342)

1

Survival and safety analysis of COVID-19 vaccine in Chinese patients with non-small cell lung cancer

enthalten in: Cancer medicine | 2024

von Xu, W. | Zhao, J. | Luan, F. | +5

2

Using joint models for longitudinal and time-to-event data to investigate the causal effect of salvage therapy after prostatectomy

enthalten in: Statistical methods in medical research | 2024

von Rizopoulos, D. | Taylor, J. | Papageorgiou, G. | +1

3

Phase 1/2 multicenter trial of acalabrutinib in Chinese patients with relapsed/refractory mantle cell lymphoma

enthalten in: Leukemia & lymphoma | 2024

von Song, Y. | Li, J. | Zhou, K. | +9

4

Added prognostic value of 3D deep learning-derived features from preoperative MRI for adult-type diffuse gliomas

enthalten in: Neuro-oncology | 2024

von Lee, J. | Ahn, S. | Choi, K. | +8

5

Effectiveness of high-dose third-generation EGFR-tyrosine kinase inhibitors in treating EGFR-mutated non-small cell lung cancer patients with leptomeningeal metastasis

enthalten in: Lung cancer (Amsterdam, Netherlands) | 2024

von Wu, H. | Zhang, Q. | Zhai, W. | +10

6

The Concordance Index decomposition : A measure for a deeper understanding of survival prediction models

enthalten in: Artificial intelligence in medicine | 2024

von Alabdallah, A. | Ohlsson, M. | Pashami, S. | +1

7

Adverse events in single-arm clinical trials with non-fatal time-to-event efficacy endpoint : from clinical questions to methods for statistical analysis

enthalten in: BMC medical research methodology | 2024

von Tassistro, E. | Bernasconi, D. | Valsecchi, M. | +1

8

Survival analysis of patients with extrahepatic cholangiocarcinoma : a nomogram for clinical and MRI features

enthalten in: BMC medical imaging | 2024

von Zeng, Y. | Wang, X. | Wu, J. | +3

9

Normal triglyceride concentration and the risk of diabetes mellitus type 2 in the general population of China

enthalten in: Frontiers in endocrinology | 2024

von Guo, R. | Wei, L. | Cao, Y. | +1

10

Nonparametric failure time : Time-to-event machine learning with heteroskedastic Bayesian additive regression trees and low information omnibus Dirichlet process mixtures

enthalten in: Biometrics | 2023

von Sparapani, R. | Logan, B. | Maiers, M. | +2

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