On Estimating P Values by Monte Carlo Methods | Semantic Scholar (2024)

An algorithm which combines Besag and Clifford's method with the replicate pool method to efficiently estimate P values for linkage studies is proposed and it is shown that the hybrid estimator has a substantial advantage over the other methods in most situations.

An algorithm is described that avoids nested simulations to obtain P values that are corrected for multiple testing, which, apparently, limits the applicability of this approach because of computer running-time restrictions.

Two case/control studies with different phenotypes, marker densities, and microarrays were examined for the most significant single markers and efficient use of multiple metrics with Bonferroni adjustment promises to be valuable in identifying causal variants and optimal design simultaneously.

The authors' linkage data should facilitate the discovery of both common and rare variants that determine genetic variability in lifespan, and help map the loci conferring a survival advantage.

A hybrid approach—component selection using mutual information (CSUMI)—that uses a mutual information—based statistic to reinterpret the results of PCA in a biologically meaningful way and is compared to two correlation-based approaches, showing the authors' outperforms both.

Results help verify the usefulness of the LDA model in NLP and are a first step in showing that the L DA model can replace the efforts of linguists in certain tasks like subdividing a corpus into classes.

This work observes that passenger mutations tend to occur in characteristic nucleotide sequence contexts, while driver mutations follow a different distribution pattern determined by the location of functionally relevant genomic positions along the protein-coding sequence.

This study observed that mutations in contexts that deviate from the characteristic contexts around passenger mutations provide a signal in favor of driver genes, and developed a method that combines this feature with the signals traditionally used for driver-gene identification.

The results make it possible to hypothesise that the Schifferstadt location was a natural astronomical/calendrical viewing place with the same function as several prehistoric circular enclosures, but where the natural hilly horizon of the Odenwald and the Palatinate Forest replaced the artificial horizon ofThe enclosures.

Overall, stacked species distribution models tend to overpredict species richness, although the use of the ensemble predictions from the species models built with different techniques seems very promising for modelling of species assemblages.

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Monte Carlo methods can be used to obtain an empirical P value that approximates the exact P value without relying on asymptotic distributional theory or exhaustive enumeration.