Results 41 to 50 of about 607,887 (313)

Mendelian randomization study of causal link from gut microbiota to colorectal cancer

open access: yesBMC Cancer, 2022
Recent studies have shown the relevance of gut microbiota in the occurrence and development of colorectal cancer (CRC), but the causal relationship remains unclear in the human population. The present study aims to assess the causal relationship from the
Jing-Jing Ni   +10 more
doaj   +1 more source

Abandon Statistical Significance [PDF]

open access: yes, 2018
We discuss problems the null hypothesis significance testing (NHST) paradigm poses for replication and more broadly in the biomedical and social sciences as well as how these problems remain unresolved by proposals involving modified p-value thresholds ...
Gal, David   +4 more
core   +2 more sources

COVRATIO statistic for replicated linear functional relationship model [PDF]

open access: yesJournal of Physics: Conference Series, 2021
AbstractReplicated linear functional relationship model (LFRM) can be categorized under the errors-in-variables model where variables involved are measured with error. However, the presence of outliers in dataset significantly impacts the parameter estimation.
A Mohd Arif, Y Z Zubairi, A G Hussin
openaire   +1 more source

Better statistics for better decisions: Rejecting null hypotheses statistical tests in favor of replication statistics [PDF]

open access: yesPsychology in the Schools, 2007
AbstractDespite being under challenge for the past 50 years, null hypothesis significance testing (NHST) remains dominant in the scientific field for want of viable alternatives. NHST, along with its significance level p, is inadequate for most of the uses to which it is put, a flaw that is of particular interest to educational practitioners who too ...
Federico, Sanabria, Peter R, Killeen
openaire   +2 more sources

Hypothesis-Testing Demands Trustworthy Data—A Simulation Approach to Inferential Statistics Advocating the Research Program Strategy

open access: yesFrontiers in Psychology, 2018
In psychology as elsewhere, the main statistical inference strategy to establish empirical effects is null-hypothesis significance testing (NHST). The recent failure to replicate allegedly well-established NHST-results, however, implies that such results
Antonia Krefeld-Schwalb   +2 more
doaj   +1 more source

Does it actually feel right? A replication attempt of the rounded price effect [PDF]

open access: yesRoyal Society Open Science, 2018
How does the roundedness of prices affect product evaluations? The ‘rounded price effect’ postulates that depending on the context, rounded or non-rounded prices increase the purchase likelihood of consumers.
Christopher Harms   +3 more
doaj   +1 more source

On the super replication price of unbounded claims

open access: yes, 2004
In an incomplete market the price of a claim f in general cannot be uniquely identified by no arbitrage arguments. However, the ``classical'' super replication price is a sensible indicator of the (maximum selling) value of the claim.
Biagini, Sara, Frittelli, Marco
core   +1 more source

A critical scientific evaluation of a purportedly negative data report – response to Seneviratne et al. 2022

open access: yesFrontiers in Psychiatry, 2023
A core principle in the pursuit of scientific knowledge is that science is self-correcting and that important results should be replicable. Hypotheses need to be reinforced, adjusted, or rejected when novel results are obtained.
Bankole Johnson   +5 more
doaj   +1 more source

Replication in Genome-Wide Association Studies

open access: yes, 2010
Replication helps ensure that a genotype-phenotype association observed in a genome-wide association (GWA) study represents a credible association and is not a chance finding or an artifact due to uncontrolled biases.
Ioannidis, John P. A.   +2 more
core   +1 more source

Bayesian correction for covariate measurement error: a frequentist evaluation and comparison with regression calibration [PDF]

open access: yes, 2016
Bayesian approaches for handling covariate measurement error are well established, and yet arguably are still relatively little used by researchers. For some this is likely due to unfamiliarity or disagreement with the Bayesian inferential paradigm.
Bartlett, Jonathan W., Keogh, Ruth H.
core   +2 more sources

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