日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Immunogenicity and safety of mRNA-based seasonal influenza vaccines encoding hemagglutinin and neuraminidase

编码血凝素和神经氨酸酶的mRNA季节性流感疫苗的免疫原性和安全性

Rudman Spergel, Amanda K; Lee, Ivan T; Koslovsky, Kindra; Schaefers, Kristi; Avanesov, Andrei; Logan, Douglas K; Hemmersmeier, John; Ensz, David; Stadlbauer, Daniel; Hu, Bo; Pucci, Alicia; Vakil, Jignesh; Paris, Robert; Ananworanich, Jintanat; Nachbagauer, Raffael

Analyzing microbiome data with taxonomic misclassification using a zero-inflated Dirichlet-multinomial model

利用零膨胀狄利克雷多项式模型分析存在分类错误分类的微生物组数据

Koslovsky, Matthew D

Exploring crystallized and fluid intelligence in down syndrome using graph theory

利用图论探索唐氏综合征患者的晶体智力和流体智力

Lifshitz, Hefziba; Shnitzer-Meirovich, Shlomit; Koslovsky, Meny; Yozevitch, Roi

TRIO RVEMVS: A Bayesian framework for rare variant association analysis with expectation-maximization variable selection using family trio data

TRIO RVEMVS:一种基于贝叶斯框架的罕见变异关联分析方法,利用期望最大化变量选择算法,结合家庭三联体数据进行分析。

Yu, Duo; Koslovsky, Matthew; Steiner, Margaret C; Mohammadi, Kusha; Zhang, Chenguang; Swartz, Michael D

Spring haul-out behavior of seals in the Bering and Chukchi Seas: implications for abundance estimation

白令海和楚科奇海海豹春季上岸行为:对种群数量估计的启示

London, Josh M; Conn, Paul B; Koslovsky, Stacie M; Richmond, Erin L; Ver Hoef, Jay M; Cameron, Michael F; Crawford, Justin A; Von Duyke, Andrew L; Quakenbush, Lori; Boveng, Peter L

Bayesian continuous-time hidden Markov models with covariate selection for intensive longitudinal data with measurement error

贝叶斯连续时间隐马尔可夫模型,结合协变量选择,用于处理存在测量误差的密集型纵向数据

Liang, Mingrui; Koslovsky, Matthew D; Hébert, Emily T; Kendzor, Darla E; Businelle, Michael S; Vannucci, Marina

Higher-Order Executive Function in Middle School: Training Teachers to Enhance Cognition in Young Adolescents

中学阶段高阶执行功能:培训教师以提升青少年认知能力

Gamino, Jacquelyn F; Frost, Courtney; Riddle, Russell; Koslovsky, Janet; Chapman, Sandra B

Correction to: MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package

更正:MicroBVS:基于贝叶斯变量选择的狄利克雷树多项式回归模型 - 一个 R 包

Koslovsky, Matthew D; Vannucci, Marina

MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package

MicroBVS:基于贝叶斯变量选择的狄利克雷树多项式回归模型 - 一个 R 包

Koslovsky, Matthew D; Vannucci, Marina

A BAYESIAN TIME-VARYING EFFECT MODEL FOR BEHAVIORAL MHEALTH DATA

基于贝叶斯时变效应模型的行为移动健康数据

Koslovsky, Matthew D; Hébert, Emily T; Businelle, Michael S; Vannucci, Marina