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14,641 results

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Page 1
Goodness of fit tests for estimating equations based on pseudo-observations.
Pavlič K, Martinussen T, Andersen PK. Pavlič K, et al. Lifetime Data Anal. 2019 Apr;25(2):189-205. doi: 10.1007/s10985-018-9427-6. Epub 2018 Feb 27. Lifetime Data Anal. 2019. PMID: 29488163 Review.
Such parameters include the survival probability and the cumulative incidence in a single point as well as the restricted mean life time and the cause-specific number of years lost. Goodness of fit techniques for such models based on cumulative sums of pseudo …
Such parameters include the survival probability and the cumulative incidence in a single point as well as the restricted mean life time and …
Control-coping goodness-of-fit and chronic illness: a systematic review of the literature.
Finkelstein-Fox L, Park CL. Finkelstein-Fox L, et al. Health Psychol Rev. 2019 Jun;13(2):137-162. doi: 10.1080/17437199.2018.1560229. Epub 2018 Dec 27. Health Psychol Rev. 2019. PMID: 30558475
Although much research has focused on the importance of coping in managing chronic illness, the importance of controllability appraisals in determining the efficacy of various coping strategies (i.e., the 'goodness-of-fit hypothesis') for individuals living w …
Although much research has focused on the importance of coping in managing chronic illness, the importance of controllability appraisals in …
Assessing goodness-of-fit for evaluation of dose-proportionality.
Wolfsegger MJ, Bauer A, Labes D, Schütz H, Vonk R, Lang B, Lehr S, Jaki TF, Engl W, Hale MD. Wolfsegger MJ, et al. Pharm Stat. 2021 Mar;20(2):272-281. doi: 10.1002/pst.2074. Epub 2020 Oct 15. Pharm Stat. 2021. PMID: 33063443
Prior to making any conclusions regarding dose-proportionality, the goodness-of-fit of the model must be assessed to evaluate the model performance. We propose the use of simulation-based visual predictive checks to improve the validity of dose-proportionalit …
Prior to making any conclusions regarding dose-proportionality, the goodness-of-fit of the model must be assessed to ev …
A comparison of goodness-of-fit tests for the logistic regression model.
Hosmer DW, Hosmer T, Le Cessie S, Lemeshow S. Hosmer DW, et al. Stat Med. 1997 May 15;16(9):965-80. doi: 10.1002/(sici)1097-0258(19970515)16:9<965::aid-sim509>3.0.co;2-o. Stat Med. 1997. PMID: 9160492 Review.
Recent work has shown that there may be disadvantages in the use of the chi-square-like goodness-of-fit tests for the logistic regression model proposed by Hosmer and Lemeshow that use fixed groups of the estimated probabilities. ...
Recent work has shown that there may be disadvantages in the use of the chi-square-like goodness-of-fit tests for the l …
Goodness of fit test for uniform distribution with censored observation.
Sreedevi EP, Kattumannil SK. Sreedevi EP, et al. J Korean Stat Soc. 2023;52(2):382-394. doi: 10.1007/s42952-023-00205-8. Epub 2023 Jan 23. J Korean Stat Soc. 2023. PMID: 36713637 Free PMC article.
We develop new goodness of fit test for uniform distribution based on a conditional moment characterization. We study the asymptotic properties of the proposed test statistic. We also present a goodness of fit test for uniform distributio …
We develop new goodness of fit test for uniform distribution based on a conditional moment characterization. We study t …
Goodness-of-fit tests for a logistic regression model with missing covariates.
Lee SM, Tran PL, Li CS. Lee SM, et al. Stat Methods Med Res. 2022 Jun;31(6):1031-1050. doi: 10.1177/09622802221079350. Epub 2022 Mar 29. Stat Methods Med Res. 2022. PMID: 35345942
Based on the ideas of Copas (1989) and Osius and Rojek (1992) and studies of Homser et al. (1997), proposed are the two-type goodness-of-fit tests, Pearson chi-squared and unweighted residual sum-of-squares tests, in which their test statistics are centralize …
Based on the ideas of Copas (1989) and Osius and Rojek (1992) and studies of Homser et al. (1997), proposed are the two-type goodness …
Model-based goodness-of-fit tests for the ordered stereotype model.
Fernández D, Liu I, Arnold R, Nguyen T, Spiess M. Fernández D, et al. Stat Methods Med Res. 2020 Jun;29(6):1527-1541. doi: 10.1177/0962280219864708. Epub 2019 Jul 30. Stat Methods Med Res. 2020. PMID: 31359824
This paper presents two new model-based goodness-of-fit tests for the ordered stereotype model applied to an ordinal response variable. ...
This paper presents two new model-based goodness-of-fit tests for the ordered stereotype model applied to an ordinal re …
Optimal Stein-type goodness-of-fit tests for count data.
Weiß CH, Puig P, Aleksandrov B. Weiß CH, et al. Biom J. 2023 Feb;65(2):e2200073. doi: 10.1002/bimj.202200073. Epub 2022 Sep 27. Biom J. 2023. PMID: 36166681
These identities, in turn, might be utilized to define a corresponding goodness-of-fit (GoF) test, the test statistic of which involves the computation of weighted means for a user-selected weight function f. ...
These identities, in turn, might be utilized to define a corresponding goodness-of-fit (GoF) test, the test statistic o …
Goodness-of-fit tests for correlated paired binary data.
Tang ML, Pei YB, Wong WK, Li JL. Tang ML, et al. Stat Methods Med Res. 2012 Aug;21(4):331-45. doi: 10.1177/0962280210381176. Epub 2010 Sep 1. Stat Methods Med Res. 2012. PMID: 20810456 Review.
We review a few popular statistical models for correlated binary outcomes, present maximum likelihood estimates for the model parameters, and discuss model selection issues using a variety of goodness-of-fit test statistics. We apply bootstrap strategies that …
We review a few popular statistical models for correlated binary outcomes, present maximum likelihood estimates for the model parameters, an …
Pearson's goodness-of-fit tests for sparse distributions.
Chang S, Li D, Qi Y. Chang S, et al. J Appl Stat. 2021 Dec 30;50(5):1078-1093. doi: 10.1080/02664763.2021.2017413. eCollection 2023. J Appl Stat. 2021. PMID: 37009596 Free PMC article.
Pearson's chi-squared test is widely used to test the goodness of fit between categorical data and a given discrete distribution function. When the number of sets of the categorical data, say k, is a fixed integer, Pearson's chi-squared test statistic converg …
Pearson's chi-squared test is widely used to test the goodness of fit between categorical data and a given discrete dis …
14,641 results
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