期刊： BIOSTATISTICS, 2023; 24 (2)
In recent years, a number of methods have been proposed to estimate the times at which a neuron spikes on the basis of calcium imaging data. However, ......
期刊： BIOSTATISTICS, 2023; 24 (3)
Univariate spatio-temporal models for areal count data have received great attention in recent years for estimating risks. However, models for studyin......
期刊： BIOSTATISTICS, 2023; 24 (4)
Regional aggregates of health outcomes over delineated administrative units (e.g., states, counties, and zip codes), or areal units, are widely used b......
期刊： BIOSTATISTICS, 2023; 24 (4)
An endeavor central to precision medicine is predictive biomarker discovery; they define patient sub-populations which stand to benefit most, or least......
期刊： BIOSTATISTICS, 2023; 25 (1)
Set-based association tests are widely popular in genetic association settings for their ability to aggregate weak signals and reduce multiple testing......
期刊： BIOSTATISTICS, 2023; 25 (1)
In the analysis of single-cell RNA sequencing data, researchers often characterize the variation between cells by estimating a latent variable, such a......
Causally interpretable meta-analysis combines information from a collection of randomized controlled trials to estimate treatment effects in a target ......
期刊： BIOSTATISTICS, 2023; 24 (3)
Causal mediation analysis has historically been limited in two important ways: (i) a focus has traditionally been placed on binary exposures and stati......
The rich longitudinal individual level data available from electronic health records (EHRs) can be used to examine treatment effect heterogeneity. How......
期刊： BIOSTATISTICS, 2023; 24 (2)
We present a method for estimating several prognosis parameters for cancer survivors. The method utilizes the fact that these parameters solve differe......
Whole-brain connectome data characterize the connections among distributed neural populations as a set of edges in a large network, and neuroscience r......
期刊： BIOSTATISTICS, 2023; 24 (2)
Support vector regression (SVR) is particularly beneficial when the outcome and predictors are nonlinearly related. However, when many covariates are ......
Transcriptome-wide association studies (TWAS) have been increasingly applied to identify (putative) causal genes for complex traits and diseases. TWAS......
Measurement error is common in environmental epidemiologic studies, but methods for correcting measurement error in regression models with multiple en......
