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Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2015.1076474
Abstract: ABSTRACT We address statistical issues involved in the partially clustered design where clusters are only employed in the intervention arm, but not in the control arm. We develop a cluster adjusted t-test to compare group…
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Keywords:
partially clustered;
statistical methods;
methods continuous;
continuous outcomes ... See more keywords
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Published in 2025 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2025.2479650
Abstract: Abstract This article reexamines zero-inflated count and semi-continuous models for analyzing data exhibiting an excess of zeros. Most of these models seem to share a common structure belonging to the exponential dispersion family (EDF) of…
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Keywords:
zero inflated;
count continuous;
count;
continuous outcomes ... See more keywords
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Published in 2024 at "Annals of Medicine"
DOI: 10.1080/07853890.2024.2427909
Abstract: Abstract Objective This study aims to assess the robustness of cardiovascular disease randomized controlled trials (RCTs) with primary continuous outcomes from a clinical perspective, utilizing the concepts of continuous fragility index (CFI), reverse continuous fragility…
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Keywords:
fragility index;
fragility;
cfi;
continuous outcomes ... See more keywords
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Published in 2025 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbaf096
Abstract: Abstract Random forest (RF) regression is popular machine learning method to develop prediction models for continuous outcomes. Variable selection, also known as feature selection or reduction, involves selecting a subset of predictor variables for modeling.…
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Keywords:
variable selection;
selection methods;
random forest;
regression ... See more keywords
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Published in 2018 at "Biostatistics"
DOI: 10.1093/biostatistics/kxy045
Abstract: An important tool to evaluate the performance of any design is an optimal benchmark proposed by O'Quigley and others (2002. Non-parametric optimal design in dose finding studies. Biostatistics3, 51-56) that provides an upper bound on…
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Keywords:
finding studies;
dose finding;
continuous outcomes;
outcomes benchmark ... See more keywords
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Published in 2023 at "Biometrics"
DOI: 10.1111/biom.13877
Abstract: Epidemiologists are often interested in estimating the effect of functions of time-varying exposure histories in relation to continuous outcomes, for example, cognitive function. However, the individual exposure measurements that constitute the history upon which an…
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Keywords:
history;
continuous outcomes;
bias;
longitudinal studies ... See more keywords
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Published in 2018 at "Medical Decision Making"
DOI: 10.1177/0272989x18793394
Abstract: Introduction. The raw mean difference (RMD) and standardized mean difference (SMD) are continuous effect size measures that are not readily usable in decision-analytic models of health care interventions. This study compared the predictive performance of…
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Keywords:
depression;
effect size;
continuous outcomes;
conversion ... See more keywords
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Published in 2024 at "Orthopaedic Journal of Sports Medicine"
DOI: 10.1177/2325967124s00312
Abstract: Objectives: With reinterest in lateral extra-articular tenodesis (LET), there is an imperative need to evaluate the rigor of clinical studies regarding LET with anterior cruciate ligament reconstruction (ACLR). This study aims to present a comprehensive…
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Keywords:
revision aclr;
fragility;
continuous outcomes;
let ... See more keywords