Results 171 to 180 of about 2,902,778 (234)

Characterizing heterogeneity in Alzheimer’s disease progression: a semiparametric model

Scientific Reports
The progression of Alzheimer’s disease (AD), a leading cause of dementia worldwide, is known for its variability and complexity, challenging the conventional methods of monitoring and predicting disease trajectories.
Fatih Gelir, Suneel Babu Chatla, Md. Shenuarin Bhuiyan, Elizabeth A. Disbrow, Steven A. Conrad, John A. Vanchiere, Christopher G. Kevil, Emrah Gecili, Mohammad Alfrad Nobel Bhuiyan   +8 more
doaj   +1 more source

Semiparametric regression and risk prediction with competing risks data under missing cause of failure. [PDF]

Lifetime Data Anal, 2020
Bakoyannis G, Zhang Y, Yiannoutsos CT.
europepmc   +1 more source

Estimation in semiparametric spatial regression [PDF]

Nonparametric methods have been very popular in the last couple of decades in time series and regression, but no such development has taken place for spatial models. A rather obvious reason for this is the curse of dimensionality.
Gao, Jiti, Lu, Zudi, Tjostheim, Dag
core   +1 more source

Semiparametric Counterfactual Regression

We study counterfactual regression, which aims to map input features to outcomes under hypothetical scenarios that differ from those observed in the data. This is particularly useful for decision-making when adapting to sudden shifts in treatment patterns is essential.
openaire   +2 more sources

Semiparametric regression analysis of panel binary data with a dependent failure time. [PDF]

J Appl Stat
Ge L, Li Y, Sun J.
europepmc   +1 more source

Maximum likelihood estimation for semiparametric regression models with interval-censored multistate data. [PDF]

Biometrika
Gu Y, Zeng D, Heiss G, Lin DY.
europepmc   +1 more source

Semiparametric regression for measurement error model with heteroscedastic error. [PDF]

J Multivar Anal, 2019
Li M, Ma Y, Li R.
europepmc   +1 more source

Efficient Semiparametric Regression for Longitudinal Data with Regularized Estimation of Error Covariance Function. [PDF]

J Nonparametr Stat, 2019
Jia S, Zhang C, Wu H.
europepmc   +1 more source

Semiparametric regression analysis of length-biased interval-censored data. [PDF]

Biometrics, 2019
Gao F, Chan KCG.
europepmc   +1 more source

Semiparametric regression analysis of interval-censored data with informative dropout. [PDF]

Biometrics, 2018
Gao F, Zeng D, Lin DY.
europepmc   +1 more source