ELIZA cgi-bash version rev. 1.91
- Medical English LInking keywords finder for the PubMed Zipped Archive (ELIZA) -

return kwic search for effect out of >500 occurrences
566982 occurrences (No.17 in the rank) during 5 years in the PubMed. [cache]
380) Coverage rates showed that for the SA model, either the slope effect size or the autocorrelation credible interval almost always erroneously contained 0, and the type II errors were prohibitively large.
--- ABSTRACT ---
PMID:33575987 DOI:10.3758/s13428-020-01522-0
2021 Behavior research methods
* Accurate models vs. accurate estimates: A simulation study of Bayesian single-case experimental designs.
- Although statistical practices to evaluate intervention effects in single-case experimental design (SCEDs) have gained prominence in recent times, models are yet to incorporate and investigate all their analytic complexities. Most of these statistical models incorporate slopes and autocorrelations, both of which contribute to trend in the data. The question that arises is whether in SCED data that show trend, there is indeterminacy between estimating slope and autocorrelation, because both contribute to trend, and the data have a limited number of observations. Using Monte Carlo simulation, we compared the performance of four Bayesian change-point models: (a) intercepts only (IO), (b) slopes but no autocorrelations (SI), (c) autocorrelations but no slopes (NS), and (d) both autocorrelations and slopes (SA). Weakly informative priors were used to remain agnostic about the parameters. Coverage rates showed that for the SA model, either the slope effect size or the autocorrelation credible interval almost always erroneously contained 0, and the type II errors were prohibitively large. Considering the 0-coverage and coverage rates of slope effect size, intercept effect size, mean relative bias, and second-phase intercept relative bias, the SI model outperformed all other models. Therefore, it is recommended that researchers favor the SI model over the other three models. Research studies that develop slope effect sizes for SCEDs should consider the performance of the statistic by taking into account coverage and 0-coverage rates. These helped uncover patterns that were not realized in other simulation studies. We underline the need for investigating the use of informative priors in SCEDs.
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(1)219 of (8)11 sizes (15)3 to (22)2 measure
(2)66 on (9)9 is (16)3 via (23)2 relationship
(3)30 *null* (10)4 against (17)3 with (24)2 than
(4)20 and (11)4 for (18)2 P (25)2 trials
(5)19 in (12)4 such (19)2 at
(6)16 was (13)4 that (20)2 estimates,
(7)13 size (14)3 may (21)2 induced

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--- WordNet output for effect --- =>趣旨, 結果, 影響, 効力, 活動, 印象, 効果, 成し遂げる Overview of noun effect The noun effect has 6 senses (first 5 from tagged texts) 1. (101) consequence, effect, outcome, result, event, issue, upshot -- (a phenomenon that follows and is caused by some previous phenomenon; "the magnetic effect was greater when the rod was lengthwise"; "his decision had depressing consequences for business"; "he acted very wise after the event") 2. (11) impression, effect -- (an outward appearance; "he made a good impression"; "I wanted to create an impression of success"; "she retained that bold effect in her reproductions of the original painting") 3. (9) effect -- (an impression (especially one that is artificial or contrived); "he just did it for effect") 4. (2) effect, essence, burden, core, gist -- (the central meaning or theme of a speech or literary work) 5. (1) effect, force -- ((of a law) having legal validity; "the law is still in effect") 6. effect -- (a symptom caused by an illness or a drug; "the effects of sleep loss"; "the effect of the anesthetic") Overview of verb effect The verb effect has 2 senses (first 2 from tagged texts) 1. (17) effect, effectuate, set up -- (produce; "The scientists set up a shock wave") 2. (3) effect -- (act so as to bring into existence; "effect a change") --- WordNet end ---