Among the important scientific developments of the 20th century is the explosive growth in statistical reasoning and methods for application to studies of human health. Examples include developments in likelihood methods for inference, epidemiologic statistics, clinical trials, survival analysis, and statistical genetics. Substantive problems in public health and biomedical research have fueled the development of statistical methods, which in turn have improved our ability to draw valid inferences from data. The objective of Biostatistics is to advance statistical science and its application to problems of human health and disease, with the ultimate goal of advancing the public's health.
在20世纪的重要科学发展中，统计推理和方法在人类健康研究中的应用呈爆炸性增长。例子包括推断、流行病学统计、临床试验、生存分析和统计遗传学的似然方法的发展。公共卫生和生物医学研究中的实质性问题推动了统计方法的发展，反过来又提高了我们从数据中得出有效推论的能力。生物统计学的目标是促进统计科学及其在人类健康和疾病问题上的应用，最终目标是促进公众健康。
Neuroconductor: an R platform for medical imaging analysis
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxx068
Bayesian clinical trial design using historical data that inform the treatment effect.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxy009
Marginal false discovery rates for penalized regression models.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxy004
Penalized estimation of complex, non‐linear exposure‐lag‐response associations
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxy003
Adaptive penalization in high-dimensional regression and classification with external covariates using variational Bayes.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz034
Analysis of cluster-randomized test-negative designs: cluster-level methods.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxy005
Nonparametric Bayesian inference for mean residual life functions in survival analysis.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxx075
Critical window variable selection: estimating the impact of air pollution on very preterm birth.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz006
Selection-adjusted inference: an application to confidence intervals for cis-eQTL effect sizes.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz024
Machine learning in the estimation of causal effects: targeted minimum loss-based estimation and double/debiased machine learning.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz042
EM algorithms for fitting multistate cure models.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxy011
Time‐varying proportional odds model for mega‐analysis of clustered event times
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxx065
Adaptive group-regularized logistic elastic net regression.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz062
Teaching yourself about structural racism will improve your machine learning.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz040
On models for the estimation of the excess mortality hazard in case of insufficiently stratified life tables.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz017
Time-to-event model-assisted designs for dose-finding trials with delayed toxicity.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz007
A joint spatial factor analysis model to accommodate data from misaligned areal units with application to Louisiana social vulnerability.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxy016
For a sound use of health care data in epidemiology: evaluation of a calibration model for count data with application to prediction of cancer incidence in areas without cancer registry.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxy012
Modeling the cumulative incidence function of multivariate competing risks data allowing for within-cluster dependence of risk and timing.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxx072
Estimating autoantibody signatures to detect autoimmune disease patient subsets.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxx061
An ensemble method for interval-censored time-to-event data.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz025
The functional false discovery rate with applications to genomics.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz010
Copula-based semiparametric regression method for bivariate data under general interval censoring.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz032
Informatively empty clusters with application to multigenerational studies.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz005
A Gaussian copula approach for dynamic prediction of survival with a longitudinal biomarker.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz049
A semiparametric model for wearable sensor‐based physical activity monitoring data with informative device wear
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxx073
A unified method for improved inference in random effects meta-analysis.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz020
ACE of space: estimating genetic components of high-dimensional imaging data.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz022
A hidden Markov model addressing measurement errors in the response and replicated covariates for continuous nondecreasing processes.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz004
Multivariate meta-analysis model for the difference in restricted mean survival times.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz018
Monte Carlo local likelihood approximation
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxx070
On the individual surrogate paradox.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz019
Regulatory oversight, causal inference, and safe and effective health care machine learning.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz044
Modeling local dependence in latent vector autoregressive models.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz021
On restricted optimal treatment regime estimation for competing risks data.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz026
Gaussian process regression for survival time prediction with genome-wide gene expression.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz023
Strategies for validating biomarkers using data from a reference set.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz031
Matched case-control data with a misclassified exposure: what can be done with instrumental variables?
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz012
Gamma models for estimating the odds ratio for a skewed biomarker measured in pools and subject to errors.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz028
Modeling the rate of HIV testing from repeated binary data amidst potential never-testers.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxx071
Optimized adaptive enrichment designs for three-arm trials: learning which subpopulations benefit from different treatments.
来源期刊：BiostatisticsDOI：10.1093/BIOSTATISTICS/KXZ030
Spatially varying age-period-cohort analysis with application to US mortality, 2002-2016.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz009
Estimating menarcheal age distribution from partially recalled data.
来源期刊：BiostatisticsDOI：10.1093/BIOSTATISTICS/KXZ013
Semi-supervised neighborhoods and localized patient outcome prediction.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxy015
A two-stage estimation procedure for non-linear structural equation models.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxy082
Measuring effects of medication adherence on time-varying health outcomes using Bayesian dynamic linear models.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz059
Dynamic landmark prediction for mixture data.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz052
A local group differences test for subject-level multivariate density neuroimaging outcomes.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz058
Estimation of marginal causal effects in the presence of confounding by cluster.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz054
A Bayesian zero-inflated negative binomial regression model for the integrative analysis of microbiome data.
来源期刊：BiostatisticsDOI：10.1093/biostatistics/kxz050
