The International Biometric Society is an international society promoting the development and application of statistical and mathematical theory and methods in the biosciences, including agriculture, biomedical science and public health, ecology, environmental sciences, forestry, and allied disciplines. The Society welcomes as members statisticians, mathematicians, biological scientists, and others devoted to interdisciplinary efforts in advancing the collection and interpretation of information in the biosciences. The Society sponsors the biennial International Biometric Conference, held in sites throughout the world; through its National Groups and Regions, it also Society sponsors regional and local meetings.
国际生物统计学学会（英语：International Biometric Society）是一个促进统计学和数学理论及方法在生物科学（包括农业、生物医学和公共卫生、生态学、环境科学、林业和相关学科）中发展和应用的国际学会。该学会欢迎统计学家、数学家、生物科学家和其他致力于跨学科努力以促进生物科学信息的收集和解释的人成为会员。学会赞助在世界各地举行的两年一次的国际生物统计学会议;通过其国家团体和区域，协会还主办区域和地方会议。
Fair regression for health care spending
来源期刊：BiometricsDOI：10.1111/biom.13206
Multi-study factor analysis.
来源期刊：BiometricsDOI：10.1111/biom.12974
Analysis of covariance in randomized trials: More precision and valid confidence intervals, without model assumptions.
来源期刊：BiometricsDOI：10.1111/biom.13062
On doubly robust estimation of the hazard difference.
来源期刊：BiometricsDOI：10.1111/biom.12943
Incorporating prior information with fused sparse group lasso: Application to prediction of clinical measures from neuroimages.
来源期刊：BiometricsDOI：10.1111/biom.13075
Common Reducing Subspace Model and Network Alternation Analysis.
来源期刊：BiometricsDOI：10.1111/biom.13099
Familywise error control in multi‐armed response‐adaptive trials
来源期刊：BiometricsDOI：10.1111/biom.13042
A response‐adaptive randomization procedure for multi‐armed clinical trials with normally distributed outcomes
来源期刊：BiometricsDOI：10.1111/biom.13119
Quantifying personal exposure to air pollution from smartphone-based location data.
来源期刊：BiometricsDOI：10.1111/biom.13100
Regularized Latent Class Model for Joint Analysis of High-Dimensional Longitudinal Biomarkers and a Time-to-Event Outcome.
来源期刊：BiometricsDOI：10.1111/biom.12964
Estimating average treatment effects with a double-index propensity score.
来源期刊：BiometricsDOI：10.1111/biom.13195
Granger mediation analysis of multiple time series with an application to functional magnetic resonance imaging.
来源期刊：BiometricsDOI：10.1111/biom.13056
Accounting for phenology in the analysis of animal movement.
来源期刊：BiometricsDOI：10.1111/biom.13052
Power Calculation for Cross-Sectional Stepped Wedge Cluster Randomized Trials with Variable Cluster Sizes.
来源期刊：BiometricsDOI：10.1111/biom.13164
Biclustering Via Sparse Clustering.
来源期刊：BiometricsDOI：10.1111/biom.13136
Multi-category individualized treatment regime using outcome weighted learning.
来源期刊：BiometricsDOI：10.1111/biom.13084
Integrative analysis of genetical genomics data incorporating network structures.
来源期刊：BiometricsDOI：10.1111/biom.13072
Variance component tests of multivariate mediation effects under composite null hypotheses.
来源期刊：BiometricsDOI：10.1111/biom.13073
A robust removing unwanted variation-testing procedure via γ -divergence.
来源期刊：BiometricsDOI：10.1111/BIOM.13002
Global identifiability of latent class models with applications to diagnostic test accuracy studies: a Gröbner basis approach.
来源期刊：BiometricsDOI：10.1111/biom.13133
A sensitivity analysis approach for informative dropout using shared parameter models
来源期刊：BiometricsDOI：10.1111/biom.13027
Efficient methods for signal detection from correlated adverse events in clinical trials.
来源期刊：BiometricsDOI：10.1111/biom.13031
Bayesian shrinkage estimation of high dimensional causal mediation effects in omics studies.
来源期刊：BiometricsDOI：10.1111/biom.13189
From mixed effects modeling to spike and slab variable selection: A Bayesian regression model for group testing data.
来源期刊：BiometricsDOI：10.1111/biom.13176
Bias Correction of Bounded Location Error in Binary Data.
来源期刊：BiometricsDOI：10.1111/BIOM.13152
Causal inference when counterfactuals depend on the proportion of all subjects exposed.
来源期刊：BiometricsDOI：10.1111/biom.13034
Improved methods for estimating abundance and related demographic parameters from mark‐resight data
来源期刊：BiometricsDOI：10.1111/biom.13058
Approximation of Bias and Mean Squared Error in Two-sample Mendelian Randomization Analyses.
来源期刊：BiometricsDOI：10.1111/biom.13169
Threshold selection for covariance estimation.
来源期刊：BiometricsDOI：10.1111/biom.13048
Distance-Based Analysis of Variance for Brain Connectivity.
来源期刊：BiometricsDOI：10.1111/BIOM.13123
Large Scale Maximum Average Power Multiple Inference on Time-Course Count Data with Application to RNA-Seq Analysis.
来源期刊：BiometricsDOI：10.1111/biom.13144
Sample size and power for the weighted log-rank test and Kaplan-Meier based tests with allowance for non-proportional hazards.
来源期刊：BiometricsDOI：10.1111/biom.13196
Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Inference Procedure.
来源期刊：BiometricsDOI：10.1111/BIOM.13114
Corrections for measurement error due to delayed onset of illness for case-crossover designs.
来源期刊：BiometricsDOI：10.1111/biom.13173
Optimal sampling design and the accuracy of occupancy models.
来源期刊：BiometricsDOI：10.1111/biom.13203
A varying-coefficient generalized odds rate model with time-varying exposure: An application to fitness and cardiovascular disease mortality.
来源期刊：BiometricsDOI：10.1111/biom.13057
Data-adaptive longitudinal model selection in causal inference with collaborative targeted minimum loss-based estimation.
来源期刊：BiometricsDOI：10.1111/biom.13135
A two-stage experimental design for dilution assays.
来源期刊：BiometricsDOI：10.1111/biom.13032
Gene-based Association Analysis for Bivariate Time-to-event Data through Functional Regression with Copula Models.
来源期刊：BiometricsDOI：10.1111/biom.13165
Dynamic Regression with Recurrent Events.
来源期刊：BiometricsDOI：10.1111/biom.13105
Novel Two-Phase Sampling Designs for Studying Binary Outcomes.
来源期刊：BiometricsDOI：10.1111/biom.13140
Sharp bounds on the relative treatment effect for ordinal outcomes.
来源期刊：BiometricsDOI：10.1111/biom.13148
Cox Regression with Survival-Time-Dependent Missing Covariate Values.
来源期刊：BiometricsDOI：10.1111/biom.13155
Truncated simes tests.
来源期刊：BiometricsDOI：10.1111/biom.13103
Estimating Individualized Treatment Regimes from Crossover Designs
来源期刊：BiometricsDOI：10.1111/biom.13186
Adaptive treatment allocation for comparative clinical studies with recurrent events data.
来源期刊：BiometricsDOI：10.1111/biom.13117
G-estimation of structural nested restricted mean time lost models to estimate effects of time-varying treatments on a failure time outcome.
来源期刊：BiometricsDOI：10.1111/biom.13200
A functional generalized F-test for signal detection with applications to event-related potentials significance analysis.
来源期刊：BiometricsDOI：10.1111/biom.13118
Double-wavelet transform for multisubject task-induced functional magnetic resonance imaging data.
来源期刊：BiometricsDOI：10.1111/biom.13055
Discovering structure in multiple outcomes models for tests of childhood neurodevelopment.
来源期刊：BiometricsDOI：10.1111/biom.13174
