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Year Number of Results
1797 1
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1858 1
1860 1
1866 1
1868 3
1870 2
1874 2
1875 2
1876 3
1877 1
1879 3
1880 1
1881 3
1882 1
1883 1
1884 1
1885 2
1886 1
1887 1
1889 2
1891 4
1892 4
1893 3
1895 2
1896 4
1897 2
1898 2
1900 2
1901 5
1902 3
1903 5
1904 3
1905 5
1906 6
1907 15
1908 2
1909 16
1910 5
1911 10
1912 13
1913 10
1914 19
1915 5
1916 10
1917 3
1918 7
1919 10
1920 9
1921 23
1922 18
1923 19
1924 29
1925 29
1926 28
1927 18
1928 24
1929 20
1930 16
1931 11
1932 13
1933 23
1934 18
1935 26
1936 19
1937 18
1938 37
1939 27
1940 23
1941 29
1942 28
1943 25
1944 23
1945 69
1946 149
1947 183
1948 197
1949 200
1950 175
1951 189
1952 192
1953 193
1954 224
1955 214
1956 224
1957 251
1958 256
1959 287
1960 265
1961 318
1962 324
1963 396
1964 436
1965 587
1966 665
1967 729
1968 715
1969 855
1970 942
1971 929
1972 989
1973 1087
1974 1208
1975 3813
1976 4118
1977 4022
1978 4171
1979 4452
1980 5061
1981 5107
1982 5506
1983 6572
1984 7131
1985 7372
1986 7666
1987 7999
1988 8350
1989 10301
1990 10900
1991 11136
1992 11428
1993 12115
1994 12772
1995 13638
1996 14283
1997 14883
1998 15612
1999 16601
2000 18435
2001 19818
2002 20368
2003 22086
2004 24797
2005 28818
2006 32724
2007 36873
2008 40478
2009 44106
2010 49454
2011 54938
2012 61467
2013 66205
2014 69998
2015 75102
2016 77364
2017 80135
2018 82653
2019 86720
2020 97538
2021 108552
2022 108180
2023 100401
2024 98653
2025 104609
2026 72412
2027 5

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1,715,952 results

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Page 1
On Variance of the Treatment Effect in the Treated When Estimated by Inverse Probability Weighting.
Reifeis SA, Hudgens MG. Reifeis SA, et al. Am J Epidemiol. 2022 May 20;191(6):1092-1097. doi: 10.1093/aje/kwac014. Am J Epidemiol. 2022. PMID: 35106534 Free PMC article.
Here we show that using such an approach when estimating the variance of the IPW ATT estimator does not necessarily result in conservative SE estimates. ...Instead, stacked estimating equations which account for the weight estimation can be used …
Here we show that using such an approach when estimating the variance of the IPW ATT estimator does not necessarily result in …
Imperfect Synthetic Controls.
Powell D. Powell D. J Appl Econ (Chichester Engl). 2026 Jan 14:10.1002/jae.70035. doi: 10.1002/jae.70035. Online ahead of print. J Appl Econ (Chichester Engl). 2026. PMID: 41608589 Free PMC article.
I also introduce a weighting metric which asymptotically excludes units without appropriate synthetic controls. The paper exploits the estimator's construction of multiple estimates of the treatment effect to produce valid inference even when the number of co …
I also introduce a weighting metric which asymptotically excludes units without appropriate synthetic controls. The paper exploits the es
Demystifying estimands in cluster-randomised trials.
Kahan BC, Blette BS, Harhay MO, Halpern SD, Jairath V, Copas A, Li F. Kahan BC, et al. Stat Methods Med Res. 2024 Jul;33(7):1211-1232. doi: 10.1177/09622802241254197. Epub 2024 May 23. Stat Methods Med Res. 2024. PMID: 38780480 Free PMC article.
In this paper, we provide formal definitions of estimands encompassing both these attributes using potential outcomes notation and describe differences between them. We then provide an overview of estimators for each estimand, describe their assumptions, and show consisten …
In this paper, we provide formal definitions of estimands encompassing both these attributes using potential outcomes notation and describe …
Maximum likelihood estimators for colony-forming units.
Martini KM, Boddu SS, Nemenman I, Vega NM. Martini KM, et al. Microbiol Spectr. 2024 Sep 3;12(9):e0394623. doi: 10.1128/spectrum.03946-23. Epub 2024 Jul 23. Microbiol Spectr. 2024. PMID: 39041814 Free PMC article. Review.
We provide an online calculator for these estimators.Estimation of the number of microbes in a sample is an important problem with a long history. ...This mapping enables higher precision estimates of colony-forming units (CFUs) using the same data already co …
We provide an online calculator for these estimators.Estimation of the number of microbes in a sample is an important problem …
Improving trial generalizability using observational studies.
Lee D, Yang S, Dong L, Wang X, Zeng D, Cai J. Lee D, et al. Biometrics. 2023 Jun;79(2):1213-1225. doi: 10.1111/biom.13609. Epub 2022 Jan 11. Biometrics. 2023. PMID: 34862966 Free PMC article.
Complementary features of randomized controlled trials (RCTs) and observational studies (OSs) can be used jointly to estimate the average treatment effect of a target population. We propose a calibration weighting estimator that enforces the covariate balance betwee …
Complementary features of randomized controlled trials (RCTs) and observational studies (OSs) can be used jointly to estimate the ave …
A Comparison of Variance Estimators for Logistic Regression Models Estimated Using Generalized Estimating Equations (GEE) in the Context of Observational Health Services Research.
Austin PC. Austin PC. Stat Med. 2024 Dec 20;43(29):5548-5561. doi: 10.1002/sim.10260. Epub 2024 Oct 31. Stat Med. 2024. PMID: 39478681 Free PMC article.

We suggest that when estimating standard errors: (i) when the number of clusters is < 15 use the Kauermann-Carroll estimator; (ii) when the number of clusters is between 15 and 40 use the Fay-Graubard estimator; (iii) when the number of clusters exceeds 40

We suggest that when estimating standard errors: (i) when the number of clusters is < 15 use the Kauermann-Carroll estimator

Causal Isotonic Regression.
Westling T, Gilbert P, Carone M. Westling T, et al. J R Stat Soc Series B Stat Methodol. 2020 Jul;82(3):719-747. doi: 10.1111/rssb.12372. Epub 2020 May 13. J R Stat Soc Series B Stat Methodol. 2020. PMID: 33986625 Free PMC article.
Nonparametric estimation in this context is challenging because in a nonparametric model these curves cannot be estimated at regular rates. ...In this work, we propose a nonparametric estimator of a causal dose-response curve known to be monotone. We show tha …
Nonparametric estimation in this context is challenging because in a nonparametric model these curves cannot be estimated at r …
Estimating information in time-varying signals.
Cepeda-Humerez SA, Ruess J, Tkačik G. Cepeda-Humerez SA, et al. PLoS Comput Biol. 2019 Sep 3;15(9):e1007290. doi: 10.1371/journal.pcbi.1007290. eCollection 2019 Sep. PLoS Comput Biol. 2019. PMID: 31479447 Free PMC article.
A pressing data-analysis challenge has thus been to efficiently estimate the amount of information that these dynamics convey from experimental data. Here we develop and evaluate decoding-based estimation methods to lower bound the mutual information about a finite …
A pressing data-analysis challenge has thus been to efficiently estimate the amount of information that these dynamics convey from ex …
Proximal Causal Inference without Uniqueness Assumptions.
Zhang J, Li W, Miao W, Tchetgen ET. Zhang J, et al. Stat Probab Lett. 2023 Jul;198:109836. doi: 10.1016/j.spl.2023.109836. Epub 2023 Mar 21. Stat Probab Lett. 2023. PMID: 38405420 Free PMC article.
Solutions to the integral equations may not be unique, which complicates estimation and inference. We construct a consistent estimator for the solution set for one of the integral equations and then adapt the theory of extremum estimators to find from the …
Solutions to the integral equations may not be unique, which complicates estimation and inference. We construct a consistent estim
Practical issues in using generalized estimating equations for inference on transitions in longitudinal data: What is being estimated?
Bible J, Albert PS, Simons-Morton BG, Liu D. Bible J, et al. Stat Med. 2019 Mar 15;38(6):903-916. doi: 10.1002/sim.8014. Epub 2018 Nov 8. Stat Med. 2019. PMID: 30411379
Generalized estimating equations (GEEs) are commonly used to estimate transition models. When the Markov assumption does not hold but first-order transition probabilities are still of interest, the transition inference is sensitive to the choice of working correlati …
Generalized estimating equations (GEEs) are commonly used to estimate transition models. When the Markov assumption does not h …
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