Ohashi Y - Search Results

1

A comparison of error detection rates between the reading aloud method and the double data entry method.

Kawado M, Hinotsu S, Matsuyama Y, Yamaguchi T, Hashimoto S, Ohashi Y. Kawado M, et al. Among authors: ohashi y. Control Clin Trials. 2003 Oct;24(5):560-9. doi: 10.1016/s0197-2456(03)00089-8. Control Clin Trials. 2003. PMID: 14500053

2

Estimation and comparison of rates of change in repeated-measures studies with planned dropout.

Toyoda I, Matsuyama Y, Ohashi Y. Toyoda I, et al. Among authors: ohashi y. Control Clin Trials. 2001 Dec;22(6):620-38. doi: 10.1016/s0197-2456(01)00166-0. Control Clin Trials. 2001. PMID: 11738120

3

Adjusting for differential proportions of second-line treatment in cancer clinical trials. Part I: structural nested models and marginal structural models to test and estimate treatment arm effects.

Yamaguchi T, Ohashi Y. Yamaguchi T, et al. Among authors: ohashi y. Stat Med. 2004 Jul 15;23(13):1991-2003. doi: 10.1002/sim.1816. Stat Med. 2004. PMID: 15211598

4

Adjusting for differential proportions of second-line treatment in cancer clinical trials. Part II: an application in a clinical trial of unresectable non-small-cell lung cancer.

Yamaguchi T, Ohashi Y. Yamaguchi T, et al. Among authors: ohashi y. Stat Med. 2004 Jul 15;23(13):2005-22. doi: 10.1002/sim.1817. Stat Med. 2004. PMID: 15211599 Clinical Trial.

5

An analysis of institutional effects in a multicenter cancer clinical trial: is it also plausible from the clinicians' point of view?

Sakamoto J, Matsuyama Y, Ohashi Y. Sakamoto J, et al. Among authors: ohashi y. Jpn J Clin Oncol. 1999 Aug;29(8):403-5. doi: 10.1093/jjco/29.8.403. Jpn J Clin Oncol. 1999. PMID: 10494927 No abstract available.

6

Status of kidney transplantation in Japan.

Ota K, Hinotsu S, Kawado M, Ohashi Y. Ota K, et al. Among authors: ohashi y. Clin Transpl. 2000:374-5. Clin Transpl. 2000. PMID: 11512341 No abstract available.

7

Estimation of treatment effect adjusting for dependent censoring using the IPCW method: an application to a large primary prevention study for coronary events (MEGA study).

Yoshida M, Matsuyama Y, Ohashi Y; MEGA Study Group. Yoshida M, et al. Among authors: ohashi y. Clin Trials. 2007;4(4):318-28. doi: 10.1177/1740774507081224. Clin Trials. 2007. PMID: 17848493 Clinical Trial.

8

Mixed models for bivariate response repeated measures data using Gibbs sampling.

Matsuyama Y, Ohashi Y. Matsuyama Y, et al. Among authors: ohashi y. Stat Med. 1997 Jul 30;16(14):1587-601. doi: 10.1002/(sici)1097-0258(19970730)16:14<1587::aid-sim592>3.0.co;2-l. Stat Med. 1997. PMID: 9257414 Clinical Trial.

9

Efficiency of ultrasensitive prostate-specific antigen assay in diagnosing biochemical failure after radical prostatectomy.

Shimizu F, Tanaka S, Matsuyama Y, Tominaga T, Ohashi Y, Fujime M. Shimizu F, et al. Among authors: ohashi y. Jpn J Clin Oncol. 2007 Jun;37(6):446-51. doi: 10.1093/jjco/hym043. Jpn J Clin Oncol. 2007. PMID: 17656483

10

Estimation of treatment effect adjusting for treatment changes using the intensity score method: application to a large primary prevention study for coronary events (MEGA study).

Tanaka Y, Matsuyama Y, Ohashi Y; MEGA Study Group. Tanaka Y, et al. Among authors: ohashi y. Stat Med. 2008 May 10;27(10):1718-33. doi: 10.1002/sim.3065. Stat Med. 2008. PMID: 17922525

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