The Trial within Cohorts (TwiCs) study design in oncology: Experience and methodological reflections [PDF]
BMC Med Res Methodol 23, 117 (2023), 2022 A Trial within Cohorts (TwiCs) study design is a trial design that uses the infrastructure of an observational cohort study to initiate a randomized trial. Upon cohort enrollment, cohort participants provided consent for being randomized in future studies without being informed.
arxiv +1 more source
Cohort effects in mortality modelling: a Bayesian state-space approach [PDF]
Ann. actuar. sci. 13 (2019) 109-144, 2017 Cohort effects are important factors in determining the evolution of human mortality for certain countries. Extensions of dynamic mortality models with cohort features have been proposed in the literature to account for these factors under the generalised linear modelling framework.
arxiv +1 more source
A three-year comparative study of dominant misconceptions among first-year physics students at a South African university [PDF]
Phys. Educ. 59 015036 (2024), 2023 This article discusses a three-year study (2020 - 2022) of dominant misconceptions (DMs) for a large cohort of first-year physics course students at the University of Johannesburg (UJ), South Africa. Our study considered pre-test scores on the Force Concept Inventory using a graphical method, where we found statistical differences between the mean DM ...
arxiv +1 more source
Improving estimation efficiency of case-cohort study with interval-censored failure time data [PDF]
arXiv, 2023 The case-cohort design is a commonly used cost-effective sampling strategy for large cohort studies, where some covariates are expensive to measure or obtain. In this paper, we consider regression analysis under a case-cohort study with interval-censored failure time data, where the failure time is only known to fall within an interval instead of being
arxiv
Adaptive Cohort Size Determination Method for Bayesian Optimal Interval Phase I/II Design to Shorten Clinical Trial Duration [PDF]
arXiv, 2023 Recently, the strategy for dose optimization in oncology has shifted to conduct Phase 2 randomized controlled trials with multiple doses. Optimal biologic dose selection from Phase 1 trial data to determine candidate doses for Phase 2 trials has been gaining attention.
arxiv
Automatic sleep stage classification with deep residual networks in a mixed-cohort setting [PDF]
, 2020 Study Objectives: Sleep stage scoring is performed manually by sleep experts and is prone to subjective interpretation of scoring rules with low intra- and interscorer reliability. Many automatic systems rely on few small-scale databases for developing models, and generalizability to new datasets is thus unknown.
arxiv +1 more source
Missing data interpolation in integrative multi-cohort analysis with disparate covariate information [PDF]
arXiv, 2022 Integrative analysis of datasets generated by multiple cohorts is a widely-used approach for increasing sample size, precision of population estimators, and generalizability of analysis results in epidemiological studies. However, often each individual cohort dataset does not have all variables of interest for an integrative analysis collected as a ...
arxiv
CohortVA: A Visual Analytic System for Interactive Exploration of Cohorts based on Historical Data [PDF]
arXiv, 2022 In history research, cohort analysis seeks to identify social structures and figure mobilities by studying the group-based behavior of historical figures. Prior works mainly employ automatic data mining approaches, lacking effective visual explanation.
arxiv
Fast Accelerated Failure Time Modeling for Case-Cohort Data [PDF]
Statistics and Computing 2014 24:559-568, 2012 Semiparametric accelerated failure time (AFT) models directly relate the predicted failure times to covariates and are a useful alternative to models that work on the hazard function or the survival function. For case-cohort data, much less development has been done with AFT models.
arxiv +1 more source
Toward Cohort Intelligence: A Universal Cohort Representation Learning Framework for Electronic Health Record Analysis [PDF]
arXiv, 2023 Electronic Health Records (EHR) are generated from clinical routine care recording valuable information of broad patient populations, which provide plentiful opportunities for improving patient management and intervention strategies in clinical practice.
arxiv