These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
117 related articles for article (PubMed ID: 31322061)
1. Comment on "Efficient statistical inference for a parallel study with missing data by using an exact method" by Shan et al. (2019). Andrés AM J Biopharm Stat; 2019; 29(6):1170-1173. PubMed ID: 31322061 [No Abstract] [Full Text] [Related]
2. Rejoinder to "Efficient statistical inference for a parallel study with missing data by using an exact method". Shan G; Zhang H J Biopharm Stat; 2019; 29(6):1174-1175. PubMed ID: 31314673 [No Abstract] [Full Text] [Related]
3. Extensions of the penalized spline of propensity prediction method of imputation. Zhang G; Little R Biometrics; 2009 Sep; 65(3):911-8. PubMed ID: 19053998 [TBL] [Abstract][Full Text] [Related]
5. Exact inference on the random-effects model for meta-analyses with few studies. Michael H; Thornton S; Xie M; Tian L Biometrics; 2019 Jun; 75(2):485-493. PubMed ID: 30430540 [TBL] [Abstract][Full Text] [Related]
6. Bootstrap inference when using multiple imputation. Schomaker M; Heumann C Stat Med; 2018 Jun; 37(14):2252-2266. PubMed ID: 29682776 [TBL] [Abstract][Full Text] [Related]
7. Likelihood methods for regression models with expensive variables missing by design. Zhao Y; Lawless JF; McLeish DL Biom J; 2009 Feb; 51(1):123-36. PubMed ID: 19197954 [TBL] [Abstract][Full Text] [Related]
9. Confidence sets for optimal factor levels of a response surface. Wan F; Liu W; Bretz F; Han Y Biometrics; 2016 Dec; 72(4):1285-1293. PubMed ID: 27062462 [TBL] [Abstract][Full Text] [Related]
10. Parameter estimation from incomplete data in binomial regression when the missing data mechanism is nonignorable. Ibrahim JG; Lipsitz SR Biometrics; 1996 Sep; 52(3):1071-8. PubMed ID: 8805768 [TBL] [Abstract][Full Text] [Related]
11. Empirical likelihood method for non-ignorable missing data problems. Guan Z; Qin J Lifetime Data Anal; 2017 Jan; 23(1):113-135. PubMed ID: 27647436 [TBL] [Abstract][Full Text] [Related]
12. Exact likelihood evaluation in a Markov mixture model for time series of seizure counts. Le ND; Leroux BG; Puterman ML Biometrics; 1992 Mar; 48(1):317-23. PubMed ID: 1581489 [TBL] [Abstract][Full Text] [Related]
13. On efficient two-stage adaptive designs for clinical trials with sample size adjustment. Liu Q; Li G; Anderson KM; Lim P J Biopharm Stat; 2012; 22(4):617-40. PubMed ID: 22651105 [TBL] [Abstract][Full Text] [Related]
14. Missing data imputation and haplotype phase inference for genome-wide association studies. Browning SR Hum Genet; 2008 Dec; 124(5):439-50. PubMed ID: 18850115 [TBL] [Abstract][Full Text] [Related]
15. On sample size and inference for two-stage adaptive designs. Liu Q; Chi GY Biometrics; 2001 Mar; 57(1):172-7. PubMed ID: 11252594 [TBL] [Abstract][Full Text] [Related]
17. Exact tests of goodness of fit of log-linear models for rates. McDonald JW; Smith PW; Forster JJ Biometrics; 1999 Jun; 55(2):620-4. PubMed ID: 11318224 [TBL] [Abstract][Full Text] [Related]
18. Discussion of "the evolution of boosting algorithms" and "extending statistical boosting". Bühlmann P; Gertheiss J; Hieke S; Kneib T; Ma S; Schumacher M; Tutz G; Wang CY; Wang Z; Ziegler A Methods Inf Med; 2014; 53(6):436-45. PubMed ID: 25396219 [TBL] [Abstract][Full Text] [Related]
19. Evidence synthesis for count distributions based on heterogeneous and incomplete aggregated data. Röver C; Andreas S; Friede T Biom J; 2016 Jan; 58(1):170-85. PubMed ID: 25962834 [TBL] [Abstract][Full Text] [Related]
20. Imputation approaches for potential outcomes in causal inference. Westreich D; Edwards JK; Cole SR; Platt RW; Mumford SL; Schisterman EF Int J Epidemiol; 2015 Oct; 44(5):1731-7. PubMed ID: 26210611 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]