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

Year Number of Results
1881 1
1898 1
1905 2
1913 1
1918 2
1919 1
1921 1
1922 2
1923 1
1925 2
1926 3
1927 1
1928 2
1929 1
1930 3
1931 4
1932 3
1933 1
1934 2
1935 1
1936 3
1937 1
1938 3
1939 1
1940 1
1941 4
1942 1
1944 2
1945 2
1946 2
1947 2
1948 1
1949 5
1950 6
1951 2
1952 5
1953 3
1954 3
1955 6
1956 6
1957 8
1958 9
1959 12
1960 15
1961 17
1962 16
1963 29
1964 18
1965 41
1966 63
1967 76
1968 62
1969 93
1970 111
1971 116
1972 131
1973 127
1974 174
1975 998
1976 1062
1977 934
1978 955
1979 1116
1980 1284
1981 1316
1982 1499
1983 1766
1984 1911
1985 2063
1986 2164
1987 2322
1988 2407
1989 2973
1990 3196
1991 3332
1992 3504
1993 3712
1994 4016
1995 4237
1996 4672
1997 4878
1998 5111
1999 5543
2000 6249
2001 6649
2002 6689
2003 7486
2004 8357
2005 9497
2006 11055
2007 12117
2008 13460
2009 14552
2010 16424
2011 18285
2012 20594
2013 22211
2014 23599
2015 25531
2016 26578
2017 27686
2018 28669
2019 30313
2020 34273
2021 38237
2022 38358
2023 35464
2024 14862

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501,623 results

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Page 1
Evaluation of various estimators for standardized mean difference in meta-analysis.
Lin L, Aloe AM. Lin L, et al. Stat Med. 2021 Jan 30;40(2):403-426. doi: 10.1002/sim.8781. Epub 2020 Nov 12. Stat Med. 2021. PMID: 33180373 Free PMC article.
Meta-analyses of a treatment's effect compared with a control frequently calculate the meta-effect from standardized mean differences (SMDs). SMDs are usually estimated by Cohen's d or Hedges' g. ...We recommend using average-adjusted variance estimators to o …
Meta-analyses of a treatment's effect compared with a control frequently calculate the meta-effect from standardized mean differences …
Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies.
Austin PC. Austin PC. Pharm Stat. 2011 Mar-Apr;10(2):150-61. doi: 10.1002/pst.433. Pharm Stat. 2011. PMID: 20925139 Free PMC article.
We conducted an extensive series of Monte Carlo simulations to determine the optimal caliper width for estimating differences in means (for continuous outcomes) and risk differences (for binary outcomes). ...When all of the covariates were binary, then the ch …
We conducted an extensive series of Monte Carlo simulations to determine the optimal caliper width for estimating differences …
Hazard Versus Linear Probability Difference-in-Differences Estimators for Demographic Processes.
Wu LL, Wen F. Wu LL, et al. Demography. 2022 Oct 1;59(5):1911-1928. doi: 10.1215/00703370-10207604. Demography. 2022. PMID: 36107754
This study examines the properties of the linear probability difference-in-differences estimator when the data are in fact generated by a single-decrement, continuous-time hazard process. ...We provide formal derivations and illustrate matters concretely by r …
This study examines the properties of the linear probability difference-in-differences estimator when the data are in f …
Effect sizes in ANCOVA and difference-in-differences designs.
Hedges LV, Tipton E, Zejnullahi R, Diaz KG. Hedges LV, et al. Br J Math Stat Psychol. 2023 May;76(2):259-282. doi: 10.1111/bmsp.12296. Epub 2023 Jan 2. Br J Math Stat Psychol. 2023. PMID: 36594164
It is common practice in both randomized and quasi-experiments to adjust for baseline characteristics when estimating the average effect of an intervention. The inclusion of a pre-test, for example, can reduce both the standard error of this estimate and-in non-rand …
It is common practice in both randomized and quasi-experiments to adjust for baseline characteristics when estimating the average eff …
Risk Ratio and Risk Difference Estimation in Case-cohort Studies.
Noma H, Misumi M, Tanaka S. Noma H, et al. J Epidemiol. 2023 Oct 5;33(10):508-513. doi: 10.2188/jea.JE20210509. Epub 2022 Oct 19. J Epidemiol. 2023. PMID: 35753802 Free PMC article.
METHODS: We provide pseudo-Poisson and pseudo-normal linear regression methods for estimating risk ratios and risk differences in analyses of case-cohort studies. ...Also, using the auxiliary variable information from the whole cohort, precisions of these estimat …
METHODS: We provide pseudo-Poisson and pseudo-normal linear regression methods for estimating risk ratios and risk differences …
Estimation in meta-analyses of mean difference and standardized mean difference.
Bakbergenuly I, Hoaglin DC, Kulinskaya E. Bakbergenuly I, et al. Stat Med. 2020 Jan 30;39(2):171-191. doi: 10.1002/sim.8422. Epub 2019 Nov 11. Stat Med. 2020. PMID: 31709582 Free PMC article.
Methods for random-effects meta-analysis require an estimate of the between-study variance, tau(2) . The performance of estimators of tau(2) (measured by bias and coverage) affects their usefulness in assessing heterogeneity of study-level effects and also the perfo …
Methods for random-effects meta-analysis require an estimate of the between-study variance, tau(2) . The performance of estimators …
Grouped data with survey revision.
Liang CH, Wang DW, Pan ML. Liang CH, et al. BMC Med Res Methodol. 2023 Jan 16;23(1):15. doi: 10.1186/s12874-023-01834-7. BMC Med Res Methodol. 2023. PMID: 36647014 Free PMC article.
CONCLUSION: Questionnaire revisions can induce different response bias and information loss, thus causing inconsistencies in the estimated measures. Conventional methods can only partly remedy this issue. Our proposal, VAM, can estimate the aggregate diffe …
CONCLUSION: Questionnaire revisions can induce different response bias and information loss, thus causing inconsistencies in the e …
Neural correlates of the Dunning-Kruger effect.
Muller A, Sirianni LA, Addante RJ. Muller A, et al. Eur J Neurosci. 2021 Jan;53(2):460-484. doi: 10.1111/ejn.14935. Epub 2020 Aug 28. Eur J Neurosci. 2021. PMID: 32761954 Free PMC article.
Reaction time measures revealed a condition-by-group interaction whereby over-estimators responded faster than under-estimators when estimating being in the top percentile and responded slower when estimating being in the bottom percentile. ...Findings …
Reaction time measures revealed a condition-by-group interaction whereby over-estimators responded faster than under-estimators …
Heterogeneity estimates in a biased world.
Hönekopp J, Linden AH. Hönekopp J, et al. PLoS One. 2022 Feb 3;17(2):e0262809. doi: 10.1371/journal.pone.0262809. eCollection 2022. PLoS One. 2022. PMID: 35113897 Free PMC article.
Effect size estimations remained virtually unaffected by the choice of heterogeneity estimator. For heterogeneity estimates, however, relevant differences emerged. For unbiased primary studies, the REML estimator and (to a lesser extent) the Pau …
Effect size estimations remained virtually unaffected by the choice of heterogeneity estimator. For heterogeneity estimates …
Revisiting proportion estimators.
Böhning D, Viwatwongkasem C. Böhning D, et al. Stat Methods Med Res. 2005 Apr;14(2):147-69. doi: 10.1191/0962280205sm393oa. Stat Methods Med Res. 2005. PMID: 15807149
Proportion estimators are quite frequently used in many application areas. The conventional proportion estimator (number of events divided by sample size) encounters a number of problems when the data are sparse as will be demonstrated in various settings. ...Specif …
Proportion estimators are quite frequently used in many application areas. The conventional proportion estimator (number of ev …
501,623 results
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