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Explorations in statistics: power
Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This fifth installment of Explorations in Statistics revisits power, a concept fundamental to the test of a null hypothesis. Power is the probability that we reject the null hypothesis when it is false. Four things affect power:
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Impact of Metastatic Patterns on Survival and Response to Therapy in Neuroblastoma
ABSTRACT Background While the presence of metastases in neuroblastoma (NB) is a well‐established prognostic factor, the clinical significance of dissemination patterns and tumour burden and their impact on response and survival remains poorly understood.
Mariona Morell‐Daniel +15 more
wiley +1 more source
ABSTRACT Background General pediatricians often evaluate hematologic and oncologic presentations before subspecialty consultation, yet the 2025 Accreditation Council for Graduate Medical Education (ACGME) pediatric requirements reduce inpatient pediatric hematology/oncology (PHO) time, raising questions about resident readiness.
Colburn Yu, Rohini Jain
wiley +1 more source
Research practices and statistical reporting quality in 250 economic psychology master's theses: a meta-research investigation [PDF]
The replicability of research findings has recently been disputed across multiple scientific disciplines. In constructive reaction, the research culture in psychology is facing fundamental changes, but investigations of research practices that led to ...
Jerome Olsen +3 more
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Three-level clustered data commonly occur in social and behavioral research and are prominently analyzed using multilevel modeling. The influence of the clustering on estimation results is assessed with the intraclass correlation coefficients (ICCs ...
Denise Kerkhoff, Fridtjof W. Nussbeck
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Evaluating Statistical Power Optimization [PDF]
In response to the increasing variations in integrated-circuit manufacturing, the current trend is to create designs that take these variations into account statistically. In this paper, we quantify the difference between the statistical and deterministic optima of leakage power while making no assumptions about the delay model.
Jason Cong +2 more
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ABSTRACT Background Although significant progress has been made in childhood leukemia survival, healthcare providers, and caregivers often face challenges in explaining this disease to patients. Disease‐targeted storybooks have been proposed as a tool to facilitate the understanding of diagnoses and treatment.
Nutvipha Ummartyotin +6 more
wiley +1 more source
ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier +11 more
wiley +1 more source
SampSizeCal: The platform-independent computational tool for sample sizes in the paradigm of new statistics [PDF]
Dependent upon the statistical significance p-value and statistical power, the sample size estimation is widely used in various experimental sciences.
WenJun Zhang
doaj
Latent growth modeling (LGM) is widely used to examine group differences in developmental trajectories in educational research. With multiple outcomes of interest, a multiple-domain latent growth model (MDLGM) can be applied to account for associations ...
Kejin Lee
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