过去一年中添加的文章，按日期排序

Joint modeling of longitudinal and time-to-event data in R

…, V Philipps, T Saulnier, A Devaux, R Genuer - Rencontres R, 2024 - hal.science
28 天前 - … Fast and flexible inference for joint models of multivariate longitudinal and survival
data using integrated nested Laplace approximations. Biostatistics kxad019 (2023) doi:…
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[PDF] gla.ac.uk

Potential of joint modelling of longitudinal observations and time-to-event data to improve prognosis in chronic heart failure studies

RJ Field - 2024 - theses.gla.ac.uk
172 天前 - … with an exemplar to introduce joint modelling and how joint models are currently
being … joint modelling can be applied to clinical trial data. Following this, seven joint models …
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An introduction and practical guide to strategies for analyzing longitudinal data in clinical trials of smoking cessation treatment: Beyond dichotomous point-prevalence …

G Kypriotakis, SL Bernstein, KW Bold… - Nicotine and …, 2024 - academic.oup.com
180 天前 - … modeling of longitudinal and time-to-event data can … in more detail joint models of
a longitudinal outcome and an … models discussed including R, Stata, SAS, SPSS, and Mplus. …
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[PDF] ghanafeltp.net

[PDF][PDF] A. Personal Statement

T Chikopela, C Guure - African Journal of HIV Medicine - tedoer.ghanafeltp.net
247 天前 - … Of interest and being pursued is on statistical methodology and software (Stata,
R … modelling of longitudinal (repeated measurements of biomarkers) and time-to-event …
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[PDF] wiley.com

Optimizing dynamic predictions from joint models using super learning

D Rizopoulos, JMG Taylor - Statistics in Medicine, 2024 - Wiley Online Library
293 天前 - … Joint models for longitudinal and time-to-event data are … applications of precision
medicine. Two components of … R package JMbayes2 16 that we used to fit the model. …
相关文章 所有 5 个版本