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

Year Number of Results
1925 1
1930 1
1936 1
1947 1
1949 1
1952 1
1954 1
1957 1
1959 1
1961 1
1962 1
1963 1
1964 2
1965 2
1966 4
1967 6
1968 5
1969 8
1970 4
1971 9
1972 9
1973 9
1974 10
1975 63
1976 58
1977 54
1978 59
1979 71
1980 87
1981 87
1982 106
1983 115
1984 145
1985 146
1986 131
1987 152
1988 174
1989 274
1990 298
1991 312
1992 374
1993 409
1994 471
1995 472
1996 526
1997 570
1998 633
1999 726
2000 800
2001 864
2002 930
2003 1132
2004 1290
2005 1394
2006 1578
2007 1826
2008 2027
2009 2206
2010 2425
2011 2659
2012 3060
2013 3121
2014 3320
2015 3559
2016 3552
2017 3708
2018 3980
2019 4134
2020 4210
2021 4134
2022 3624
2023 3369
2024 1463

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62,546 results

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Page 1
Estimating the mean and variance from the median, range, and the size of a sample.
Hozo SP, Djulbegovic B, Hozo I. Hozo SP, et al. BMC Med Res Methodol. 2005 Apr 20;5:13. doi: 10.1186/1471-2288-5-13. BMC Med Res Methodol. 2005. PMID: 15840177 Free PMC article.
RESULTS: We found two simple formulas that estimate the mean using the values of the median (m), low and high end of the range (a and b, respectively), and n (the sample size). ...Our estimate is performing as the best estimate in our simulations for v …
RESULTS: We found two simple formulas that estimate the mean using the values of the median (m), low and high end of the range …
Using the confidence interval confidently.
Hazra A. Hazra A. J Thorac Dis. 2017 Oct;9(10):4125-4130. doi: 10.21037/jtd.2017.09.14. J Thorac Dis. 2017. PMID: 29268424 Free PMC article.
Although we work with samples, our goal is to describe and draw inferences regarding the underlying population. It is possible to use a sample statistic and estimates of error in the sample to get a fair idea of the population parameter, not as a single value …
Although we work with samples, our goal is to describe and draw inferences regarding the underlying population. It is possible to use a samp …
Estimating Disease Prevalence in Administrative Data.
Kopec JA. Kopec JA. Clin Invest Med. 2022 Jun 26;45(2):E21-27. doi: 10.25011/cim.v45i2.38100. Clin Invest Med. 2022. PMID: 35752980 Review.
An algorithm for which sensitivity equals positive predictive value provides an unbiased estimate of prevalence. Bias reduction methods generally require information about the measurement properties of the algorithm, such as sensitivity, specificity, or predictive …
An algorithm for which sensitivity equals positive predictive value provides an unbiased estimate of prevalence. Bias reductio …
Estimating F-statistics.
Weir BS, Hill WG. Weir BS, et al. Annu Rev Genet. 2002;36:721-50. doi: 10.1146/annurev.genet.36.050802.093940. Epub 2002 Jun 11. Annu Rev Genet. 2002. PMID: 12359738 Review.
Moment estimates for within- and between-population theta values are likely to have large sampling variances, although these may be reduced by combining information over loci. ...This review also extends the work of Weir & Cockerham by employing maximum likeliho …
Moment estimates for within- and between-population theta values are likely to have large sampling variances, although these m …
An Algorithm of Nonparametric Quantile Regression.
Huang ML, Han Y, Marshall W. Huang ML, et al. J Stat Theory Pract. 2023;17(2):32. doi: 10.1007/s42519-023-00325-8. Epub 2023 Mar 29. J Stat Theory Pract. 2023. PMID: 37013135 Free PMC article.
A problem with linear quantile regression is that the estimated curves for different quantiles can cross, a result that is logically inconsistent. To overcome the curves crossing problem, and to improve high quantile estimation in the nonlinear case, this paper prop …
A problem with linear quantile regression is that the estimated curves for different quantiles can cross, a result that is logically …
Estimation of discrete survival function for error-prone diagnostic tests.
Adeniji AK, Hsu JY, Wahed AS. Adeniji AK, et al. Pharm Stat. 2018 Feb;17(1):74-89. doi: 10.1002/pst.1838. Epub 2017 Nov 26. Pharm Stat. 2018. PMID: 29178367 Review.
The product limit or Kaplan-Meier (KM) estimator is commonly used to estimate the survival function in the presence of incomplete time to event. ...In the presence of such errors, the true distribution of the time to first event would not be estimated accurat …
The product limit or Kaplan-Meier (KM) estimator is commonly used to estimate the survival function in the presence of incompl …
Redefining significance and reproducibility for medical research: A plea for higher P-value thresholds for diagnostic and prognostic models.
Steyerberg EW, Van Calster B. Steyerberg EW, et al. Eur J Clin Invest. 2020 May;50(5):e13229. doi: 10.1111/eci.13229. Epub 2020 May 9. Eur J Clin Invest. 2020. PMID: 32281648
The role of P-values for null hypothesis testing is under debate. We aim to explore the impact of the significance threshold on estimates for the strengths of associations ("effects") and the implications for different types of epidemiological research. ...Less bias …
The role of P-values for null hypothesis testing is under debate. We aim to explore the impact of the significance threshold on es …
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. ...The op …
Proportion estimators are quite frequently used in many application areas. The conventional proportion estimator (number of ev …
Controlling the false discoveries in LASSO.
Huang H. Huang H. Biometrics. 2017 Dec;73(4):1102-1110. doi: 10.1111/biom.12665. Epub 2017 Feb 9. Biometrics. 2017. PMID: 28182849
Our estimation is based on the asymptotic distribution of LASSO estimator in the limit of both sample size and dimension going to infinity with fixed ratio. ...An efficient majorization-minimization based algorithm is developed to estimate the FDP at fixed …
Our estimation is based on the asymptotic distribution of LASSO estimator in the limit of both sample size and dimension going …
Information-Theoretic Models for Physical Observables.
Bernal-Casas D, Oller JM. Bernal-Casas D, et al. Entropy (Basel). 2023 Oct 14;25(10):1448. doi: 10.3390/e25101448. Entropy (Basel). 2023. PMID: 37895569 Free PMC article.
We observe that the estimator's variance equals the energy levels of the quantum harmonic oscillator, proving that the estimator's variance is definitively quantized, being the minimum variance at the minimum energy level of the oscillator. Interesting …
We observe that the estimator's variance equals the energy levels of the quantum harmonic oscillator, proving that the esti …
62,546 results
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