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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1910 1
1911 1
1916 1
1918 1
1925 2
1926 1
1927 1
1928 1
1931 1
1935 1
1941 1
1949 1
1950 1
1952 1
1954 1
1956 1
1957 2
1958 2
1959 2
1960 6
1961 4
1962 5
1963 13
1964 8
1965 6
1966 10
1967 8
1968 15
1969 23
1970 23
1971 15
1972 22
1973 12
1974 36
1975 133
1976 182
1977 139
1978 165
1979 177
1980 198
1981 191
1982 246
1983 311
1984 358
1985 348
1986 360
1987 392
1988 468
1989 607
1990 603
1991 699
1992 816
1993 897
1994 1040
1995 1111
1996 1208
1997 1358
1998 1482
1999 1571
2000 1814
2001 1891
2002 1971
2003 2242
2004 2561
2005 2988
2006 3569
2007 4057
2008 4600
2009 5209
2010 6160
2011 6851
2012 8122
2013 9337
2014 9915
2015 10715
2016 11121
2017 11802
2018 11799
2019 12404
2020 14253
2021 15811
2022 15881
2023 14768
2024 14827
2025 15424
2026 5754
2027 1

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210,665 results

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Page 1
Time-dependent ROC curve estimation for interval-censored data.
Beyene KM, El Ghouch A. Beyene KM, et al. Biom J. 2022 Aug;64(6):1056-1074. doi: 10.1002/bimj.202000382. Epub 2022 May 6. Biom J. 2022. PMID: 35523738
In this context, we propose and study a new time-dependent ROC curve estimator. We also consider some summary measures (area under the ROC curve and Youden index) traditionally associated with ROC as well as the Youden-based cutoff estimation method. ...To this end, …
In this context, we propose and study a new time-dependent ROC curve estimator. We also consider some summary measures (area under th …
Nonparametric serial interval estimation with uniform mixtures.
Gressani O, Hens N. Gressani O, et al. PLoS Comput Biol. 2025 Aug 4;21(8):e1013338. doi: 10.1371/journal.pcbi.1013338. eCollection 2025 Aug. PLoS Comput Biol. 2025. PMID: 40758749 Free PMC article.
We present a fully data-driven methodology to estimate the serial interval distribution based on interval-censored serial interval data. ...Closed-form solutions are available for point estimates of different serial interval features and …
We present a fully data-driven methodology to estimate the serial interval distribution based on interval-censored seri …
Interval estimation of risk ratio in the simple compliance randomized trial.
Lui KJ. Lui KJ. Contemp Clin Trials. 2007 Feb;28(2):120-9. doi: 10.1016/j.cct.2006.05.005. Epub 2006 Jul 3. Contemp Clin Trials. 2007. PMID: 16820329 Review.
We employ Monte Carlo simulation to evaluate the performance of these interval estimators in a variety of situations. We note that the interval estimator using Wald's statistic and the interval estimator derived from a quadratic equation …
We employ Monte Carlo simulation to evaluate the performance of these interval estimators in a variety of situations. We note …
Interval Estimation for Age-Adjusted Rate Ratios Using Bayesian Convolution Model.
Jiang Y, Lawson AB, Zhu L, Feuer EJ. Jiang Y, et al. Front Public Health. 2019 Jun 5;7:144. doi: 10.3389/fpubh.2019.00144. eCollection 2019. Front Public Health. 2019. PMID: 31231628 Free PMC article.
Spatial correlation raises challenges in estimating confidence intervals for region specific event rates and rate ratios between geographic units that are nested. ...In comparison to three existing methods, without and with spatial correlation, the Bayesian convolut …
Spatial correlation raises challenges in estimating confidence intervals for region specific event rates and rate ratios betwe …
Estimation of median survival time and its 95% confidence interval using SAS PROC LIFETEST.
Talsma PA. Talsma PA. J Biopharm Stat. 2024 May;34(3):366-378. doi: 10.1080/10543406.2023.2206481. Epub 2023 May 5. J Biopharm Stat. 2024. PMID: 37144552
Estimation of median survival and its 95% confidence interval depends on the choice of the survival function, standard error, and a method for constructing the confidence interval. ...The two combinations that are optimal for being able to estimate the
Estimation of median survival and its 95% confidence interval depends on the choice of the survival function, standard error,
Confidence interval estimation for treatment effects in cluster randomization trials based on ranks.
Zou G. Zou G. Stat Med. 2021 Jun 30;40(14):3227-3250. doi: 10.1002/sim.8918. Epub 2021 May 3. Stat Med. 2021. PMID: 33942338
In this work, we propose procedures for estimating this probability in cluster randomization trials. Primary emphasis is given to confidence interval estimation in trials with a small number of large clusters. ...Nine confidence intervals were develope …
In this work, we propose procedures for estimating this probability in cluster randomization trials. Primary emphasis is given to con …
Bayesian estimation for Dagum distribution based on progressive type I interval censoring.
Alotaibi R, Rezk H, Dey S, Okasha H. Alotaibi R, et al. PLoS One. 2021 Jun 2;16(6):e0252556. doi: 10.1371/journal.pone.0252556. eCollection 2021. PLoS One. 2021. PMID: 34077455 Free PMC article.
A Monte Carlo simulation study is performed to assess the performance of the proposed Bayes estimators with the maximum likelihood estimators. We also compute credible intervals and symmetric 100(1 - tau)% two-sided Bayes probability intervals under th …
A Monte Carlo simulation study is performed to assess the performance of the proposed Bayes estimators with the maximum likelihood …
Interval-cohort designs and bias in the estimation of per-protocol effects: a simulation study.
Young JG, Vatsa R, Murray EJ, Hernán MA. Young JG, et al. Trials. 2019 Sep 5;20(1):552. doi: 10.1186/s13063-019-3577-z. Trials. 2019. PMID: 31488202 Free PMC article.
RESULTS: Using inverse probability weighting, we were able to recover the true null under the complete measurement scenario no matter the strength of confounding. Under yearly measurement intervals, the estimate of the per-protocol effect diverged from the null; inv …
RESULTS: Using inverse probability weighting, we were able to recover the true null under the complete measurement scenario no matter the st …
Interval estimation for the Youden index of a continuous diagnostic test with verification biased data.
Wang S, Shi S, Qin G. Wang S, et al. Stat Methods Med Res. 2025 Apr;34(4):796-811. doi: 10.1177/09622802251322989. Epub 2025 Mar 20. Stat Methods Med Res. 2025. PMID: 40111816
In this paper, we propose bias-corrected interval estimation methods for the Youden index of a continuous test under the missing-at-random assumption. ...Based on our findings, we recommend using the bootstrap-SPE intervals when the true disease model is unkn …
In this paper, we propose bias-corrected interval estimation methods for the Youden index of a continuous test under the missi …
Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices.
Kang K, Jones MT, Armstrong K, Avery S, McHugo M, Heckers S, Vandekar S. Kang K, et al. Psychometrika. 2023 Mar;88(1):253-273. doi: 10.1007/s11336-022-09899-x. Epub 2023 Feb 1. Psychometrika. 2023. PMID: 36725775 Free PMC article.
Reporting effect size index estimates with their confidence intervals (CIs) can be an excellent way to simultaneously communicate the strength and precision of the observed evidence. ...Here, we use statistical theory and simulations to develop and evaluate RESI …
Reporting effect size index estimates with their confidence intervals (CIs) can be an excellent way to simultaneously communic …
210,665 results
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