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Published in 2017 at "Ecosphere"
DOI: 10.1002/ecs2.1824
Abstract: Generalized linear models are often used to identify covariates of landscape processes and to model land-use change. Generalized linear models however, overlook the spatial component of land-use data, and its effects on statistical inference. Spatial…
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Keywords:
model;
predictive power;
spatial autocorrelation;
deforestation ... See more keywords
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Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.26292
Abstract: The calculation of so-called “brain age” has been an emerging biomarker in aging research. Data suggests that discrepancies between chronological age and the predicted age of the brain may be predictive of mortality and morbidity…
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Keywords:
calculate brain;
predictive power;
brain;
reliability ... See more keywords
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Published in 2018 at "Health Economics"
DOI: 10.1002/hec.3523
Abstract: This study explores the predictive power of interaction terms between the risk adjusters in the Dutch risk equalization (RE) model of 2014. Due to the sophistication of this RE-model and the complexity of the associations…
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Keywords:
risk;
regression;
interaction terms;
predictive power ... See more keywords
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Published in 2019 at "International Journal of Cancer"
DOI: 10.1002/ijc.32327
Abstract: Immunotherapy, represented by immune checkpoint inhibitors (ICI), is transforming the treatment of cancer. However, only a fraction of patients show response to ICI, and there is an unmet need for biomarkers that will identify patients…
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Keywords:
response;
predictive power;
sex;
lung cancer ... See more keywords
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Published in 2019 at "Journal of community psychology"
DOI: 10.1002/jcop.22184
Abstract: The lack of social support and the feelings of loneliness among older adults are associated with physical and mental health negative outcomes. This study attempts to test for their differential predictive power on depression and…
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Keywords:
satisfaction;
depression;
loneliness;
predictive power ... See more keywords
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Published in 2025 at "Journal of Cachexia, Sarcopenia and Muscle"
DOI: 10.1002/jcsm.70040
Abstract: As the global population ages, identifying reliable biomarkers to predict frailty and mortality is critical for early intervention. This study aims to construct a valuable biomarker and evaluate its predictive performance in assessing frailty and…
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Keywords:
predictive power;
power cystatin;
assessing frailty;
creatinine score ... See more keywords
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Published in 2025 at "Nursing Open"
DOI: 10.1002/nop2.70272
Abstract: The aim of this study was to determine the relationship and predictive power of systemic thinking with the attitude, knowledge and skills of nursing students in the field of patient safety.
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Keywords:
power systemic;
predictive power;
relationship predictive;
systemic thinking ... See more keywords
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Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7414
Abstract: As new biomarkers and risk prediction procedures are in rapid development, it is of great interest to develop valid methods for comparing predictive power of 2 biomarkers or risk score systems. Harrell C statistic has…
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Keywords:
difference harrell;
predictive power;
indices censored;
comparing correlated ... See more keywords
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Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7673
Abstract: Conditional power and predictive power provide estimates of the probability of success at the end of the trial based on the information from the interim analysis. The observed value of the time to event endpoint…
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Keywords:
information;
conditional power;
predictive power;
power ... See more keywords
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Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9406
Abstract: We use information derived from over 40K trials in the Cochrane Collaboration database of systematic reviews (CDSR) to compute the replication probability, or predictive power of an experiment given its observed (two‐sided) P$$ P $$…
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Keywords:
study;
replication;
predictive power;
sample size ... See more keywords
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Published in 2018 at "Empirical Economics"
DOI: 10.1007/s00181-018-1596-3
Abstract: We use factor-augmented predictive regressions to analyze the relation between nominal exchange rates and macroeconomic variables. Using a panel of 121 US macroeconomic time series, we estimate eight factors through principal component analysis. Those estimated…
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Keywords:
predictive power;
exchange rates;
exchange;
factor ... See more keywords