Contingency and Statistical Laws in Replicate Microbial Closed Ecosystems [PDF]
Cell, 2012 Contingency, the persistent influence of past random events, pervades biology. To what extent, then, is each course of ecological or evolutionary dynamics unique, and to what extent are these dynamics subject to a common statistical structure? Addressing this question requires replicate measurements to search for emergent statistical laws. We establish
Stanislas Leibler +2 more
openaire +3 more sources
Statistical Literacy Among Applied Linguists and Second Language Acquisition Researchers
, 2014 The importance of statistical knowledge in applied linguistics and second language acquisition (SLA) research has been emphasized in recent publications.
Aiken +33 more
core +1 more source
Replications and Extensions in Marketing – Rarely Published But Quite Contrary [PDF]
, 1994 Replication is rare in marketing. Of 1,120 papers sampled from three major marketing journals, none were replications. Only 1.8% of the papers were extensions, and they consumed 1.1% of the journal space. On average, these extensions appeared seven years
Armstrong, J. Scott, Hubbard, Raymond
core +3 more sources
Modeling and replicating statistical topology and evidence for CMB nonhomogeneity [PDF]
Proceedings of the National Academy of Sciences, 2017 SignificanceUnder the general heading of “topological data analysis” (TDA), the recent adoption of topological methods for the analysis of large, complex, and high-dimensional data sets has established that the abstract concepts of algebraic topology provide powerful tools for data analysis. However, despite the successes of TDA, most applications have
Robert J. Adler +2 more
openaire +4 more sources
Kontrola tačnosti rezultata u simulacijama Monte Karlo / Accuracy control in Monte Carlo simulations
Vojnotehnički Glasnik, 2010 U radu je demonstrirana primena metode automatizovanog ponavljanja nezavisnih simulacionih eksperimenata sa prikupljanjem statistike slučajnih procesa, u dostizanju i kontroli tačnosti simulacionih rezultata u simulaciji sistema masovnog opsluživanja ...
Nebojša V. Nikolić
doaj +1 more source
A Bayesian measurement error model for two-channel cell-based RNAi data with replicates
, 2012 RNA interference (RNAi) is an endogenous cellular process in which small double-stranded RNAs lead to the destruction of mRNAs with complementary nucleoside sequence. With the production of RNAi libraries, large-scale RNAi screening in human cells can be
Chang, I-Shou +8 more
core +1 more source
Regression calibration for Cox regression under heteroscedastic measurement error - Determining risk factors of cardiovascular diseases from error-prone nutritional replication data [PDF]
, 2003 For instance nutritional data are often subject to severe measurement error, and an adequate adjustment of the estimators is indispensable to avoid deceptive conclusions.
Augustin, Thomas +2 more
core +2 more sources
Reproducible Econometric Research. A Critical Review of the State of the Art. [PDF]
, 2007 Recent software developments are reviewed from the vantage point of reproducible econometric research. We argue that the emergence of new tools, particularly in the open-source community, have greatly eased the burden of documenting and archiving both ...
Koenker, Roger, Zeileis, Achim
core
Bayesian correction for covariate measurement error: a frequentist evaluation and comparison with regression calibration [PDF]
, 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
occumb: An R package for site occupancy modeling of eDNA metabarcoding data
Population Ecology, EarlyView.This study introduces a new R package, occumb, for the convenient application of site occupancy modeling using environmental DNA (eDNA) metabarcoding data. We outline a data analysis workflow, including data setup, model fitting, model assessment, and comparison of potential study settings based on model predictions, all of which can be performed using
Keiichi Fukaya, Yuta Hasebe
wiley +1 more source