141 related articles for article (PubMed ID: 22826185)
1. A comparison of least squares and conditional maximum likelihood estimators under volume endpoint censoring in tumor growth experiments.
Roy Choudhury K; O'Sullivan F; Kasman I; Plowman GD
Stat Med; 2012 Dec; 31(29):4061-73. PubMed ID: 22826185
[TBL] [Abstract][Full Text] [Related]
2. Least squares estimation of variance components for linkage.
Amos CI; Gu X; Chen J; Davis BR
Genet Epidemiol; 2000; 19 Suppl 1():S1-7. PubMed ID: 11055363
[TBL] [Abstract][Full Text] [Related]
3. Estimation and comparison of changes in the presence of informative right censoring: conditional linear model.
Wu MC; Bailey KR
Biometrics; 1989 Sep; 45(3):939-55. PubMed ID: 2486189
[TBL] [Abstract][Full Text] [Related]
4. An evaluation of extended vs weighted least squares for parameter estimation in physiological modeling.
Spilker ME; Vicini P
J Biomed Inform; 2001 Oct; 34(5):348-64. PubMed ID: 12123152
[TBL] [Abstract][Full Text] [Related]
5. Rate estimation for a simple movement model.
Silverman E; Kot M
Bull Math Biol; 2000 Mar; 62(2):351-75. PubMed ID: 10824434
[TBL] [Abstract][Full Text] [Related]
6. Two-stage method of estimation for general linear growth curve models.
Stukel TA; Demidenko E
Biometrics; 1997 Jun; 53(2):720-8. PubMed ID: 9192460
[TBL] [Abstract][Full Text] [Related]
7. A comparison via simulation of least squares Lehmann-Scheffé estimators of two variances and heritability with those of restricted maximum likelihood.
Slanger WD; Carlson JK
J Anim Sci; 2003 Aug; 81(8):1950-8. PubMed ID: 12926777
[TBL] [Abstract][Full Text] [Related]
8. Bias-reduced and separation-proof conditional logistic regression with small or sparse data sets.
Heinze G; Puhr R
Stat Med; 2010 Mar; 29(7-8):770-7. PubMed ID: 20213709
[TBL] [Abstract][Full Text] [Related]
9. An in vivo mouse reporter gene (human secreted alkaline phosphatase) model to monitor ovarian tumor growth and response to therapeutics.
Nilsson EE; Westfall SD; McDonald C; Lison T; Sadler-Riggleman I; Skinner MK
Cancer Chemother Pharmacol; 2002 Feb; 49(2):93-100. PubMed ID: 11862422
[TBL] [Abstract][Full Text] [Related]
10. Can you trust the parametric standard errors in nonlinear least squares? Yes, with provisos.
Tellinghuisen J
Biochim Biophys Acta Gen Subj; 2018 Apr; 1862(4):886-894. PubMed ID: 29289616
[TBL] [Abstract][Full Text] [Related]
11. A fast algorithm for AR parameter estimation using a novel noise-constrained least-squares method.
Xia Y; Kamel MS; Leung H
Neural Netw; 2010 Apr; 23(3):396-405. PubMed ID: 20005072
[TBL] [Abstract][Full Text] [Related]
12. There is no impact of exposure measurement error on latency estimation in linear models.
Peskoe SB; Spiegelman D; Wang M
Stat Med; 2019 Mar; 38(7):1245-1261. PubMed ID: 30515870
[TBL] [Abstract][Full Text] [Related]
13. Maximum likelihood estimation of correction for dilution bias in simple linear regression using replicates from subjects with extreme first measurements.
Berglund L; Garmo H; Lindbäck J; Svärdsudd K; Zethelius B
Stat Med; 2008 Sep; 27(22):4397-407. PubMed ID: 18618419
[TBL] [Abstract][Full Text] [Related]
14. Between classification-error approximation and weighted least-squares learning.
Toh KA; Eng HL
IEEE Trans Pattern Anal Mach Intell; 2008 Apr; 30(4):658-69. PubMed ID: 18276971
[TBL] [Abstract][Full Text] [Related]
15. Maximum likelihood estimation in meta-analytic structural equation modeling.
Oort FJ; Jak S
Res Synth Methods; 2016 Jun; 7(2):156-67. PubMed ID: 27286901
[TBL] [Abstract][Full Text] [Related]
16. Modeling hazard functions in families.
Siegmund K; McKnight B
Genet Epidemiol; 1998; 15(2):147-71. PubMed ID: 9554553
[TBL] [Abstract][Full Text] [Related]
17. Methods for estimating the parameters of a linear model for ordered categorical data.
Lipsitz SR
Biometrics; 1992 Mar; 48(1):271-81. PubMed ID: 1581487
[TBL] [Abstract][Full Text] [Related]
18. Slope estimation in the presence of informative right censoring: modeling the number of observations as a geometric random variable.
Mori M; Woolson RF; Woodworth GG
Biometrics; 1994 Mar; 50(1):39-50. PubMed ID: 8086614
[TBL] [Abstract][Full Text] [Related]
19. Spectral parameter estimation by an iterative quadratic maximum likelihood method.
Zhu G; Choy WY; Sanctuary BC
J Magn Reson; 1998 Nov; 135(1):37-43. PubMed ID: 9799672
[TBL] [Abstract][Full Text] [Related]
20. Estimation of genetic parameters and prediction of breeding values for multivariate threshold and continuous data in a simulated horse population using Gibbs sampling and residual maximum likelihood.
Stock KF; Hoeschele I; Distl O
J Anim Breed Genet; 2007 Oct; 124(5):308-19. PubMed ID: 17868084
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
