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期刊名:Biostatistics

缩写:BIOSTATISTICS

ISSN:1465-4644

e-ISSN:1468-4357

IF/分区:2.1/Q1

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共收录本刊相关文章索引1129
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Szymon Urbas,Chris Sherlock,Paul Metcalfe Szymon Urbas
We introduce a general framework for monitoring, modeling, and predicting the recruitment to multi-center clinical trials. The work is motivated by overly optimistic and narrow prediction intervals produced by existing time-homogeneous recr...
Katrina L Devick,Linda Valeri,Jarvis Chen et al. Katrina L Devick et al.
The study of racial/ethnic inequalities in health is important to reduce the uneven burden of disease. In the case of colorectal cancer (CRC), disparities in survival among non-Hispanic Whites and Blacks are well documented, and mechanisms ...
Dean A Follmann,Lori Dodd Dean A Follmann
Determining the effect of vaccine-induced immune response on disease risk is an important goal of vaccinology. Typically, immune correlates analyses are conducted prospectively with immune response measured shortly after vaccination and sub...
Yize Zhao,Tengfei Li,Hongtu Zhu Yize Zhao
Heritability analysis plays a central role in quantitative genetics to describe genetic contribution to human complex traits and prioritize downstream analyses under large-scale phenotypes. Existing works largely focus on modeling single ph...
Chuan Hong,Yan Wang,Tianxi Cai Chuan Hong
Divide-and-conquer (DAC) is a commonly used strategy to overcome the challenges of extraordinarily large data, by first breaking the dataset into series of data blocks, then combining results from individual data blocks to obtain a final es...
Shouao Wang,Erica Em Moodie,David A Stephens et al. Shouao Wang et al.
Most estimation algorithms for adaptive treatment strategies assume that treatment rules at each decision point are independent from one another in the sense that they do not possess any common parameters. This is often unrealistic, as the ...
Hyung Park,Eva Petkova,Thaddeus Tarpey et al. Hyung Park et al.
Sparse additive modeling is a class of effective methods for performing high-dimensional nonparametric regression. This article develops a sparse additive model focused on estimation of treatment effect modification with simultaneous treatm...
Andrea Rau,Regina Manansala,Michael J Flister et al. Andrea Rau et al.
Malignant progression of normal tissue is typically driven by complex networks of somatic changes, including genetic mutations, copy number aberrations, epigenetic changes, and transcriptional reprogramming. To delineate aberrant multi-omic...
Silvia Calderazzo,Manuel Wiesenfarth,Annette Kopp-Schneider Silvia Calderazzo
Bayesian clinical trials allow taking advantage of relevant external information through the elicitation of prior distributions, which influence Bayesian posterior parameter estimates and test decisions. However, incorporation of historical...
Kathrin Möllenhoff,Florence Loingeville,Julie Bertrand et al. Kathrin Möllenhoff et al.
The classical approach to analyze pharmacokinetic (PK) data in bioequivalence studies aiming to compare two different formulations is to perform noncompartmental analysis (NCA) followed by two one-sided tests (TOST). In this regard, the PK ...