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Items: 1 to 20 of 90

1.

The evaluation of statistical methods for estimating the lower limit of detection.

Huang S, Wang T, Yang M.

Assay Drug Dev Technol. 2013 Feb;11(1):35-43. doi: 10.1089/adt.2011.438.

PMID:
22574654
2.

A comparison of several methods for analyzing censored data.

Hewett P, Ganser GH.

Ann Occup Hyg. 2007 Oct;51(7):611-32.

PMID:
17940277
3.

The effect of sample size and bias on the reliability of estimates of error: a comparative study of Dahlberg's formula.

Springate SD.

Eur J Orthod. 2012 Apr;34(2):158-63. doi: 10.1093/ejo/cjr010.

PMID:
21447784
4.

An accurate substitution method for analyzing censored data.

Ganser GH, Hewett P.

J Occup Environ Hyg. 2010 Apr;7(4):233-44. doi: 10.1080/15459621003609713.

PMID:
20169489
5.

The ratio of means method as an alternative to mean differences for analyzing continuous outcome variables in meta-analysis: a simulation study.

Friedrich JO, Adhikari NK, Beyene J.

BMC Med Res Methodol. 2008 May 21;8:32. doi: 10.1186/1471-2288-8-32.

6.

Comparison of methods for analyzing left-censored occupational exposure data.

Huynh T, Ramachandran G, Banerjee S, Monteiro J, Stenzel M, Sandler DP, Engel LS, Kwok RK, Blair A, Stewart PA.

Ann Occup Hyg. 2014 Nov;58(9):1126-42. doi: 10.1093/annhyg/meu067.

7.

Evaluation of exposure-specific risks from two independent samples: a simulation study.

Reichmann WM, Gagnon D, Horsburgh CR, Losina E.

BMC Med Res Methodol. 2011 Jan 5;11:1. doi: 10.1186/1471-2288-11-1.

8.

Estimating population distributions when some data are below a limit of detection by using a reverse Kaplan-Meier estimator.

Gillespie BW, Chen Q, Reichert H, Franzblau A, Hedgeman E, Lepkowski J, Adriaens P, Demond A, Luksemburg W, Garabrant DH.

Epidemiology. 2010 Jul;21 Suppl 4:S64-70. doi: 10.1097/EDE.0b013e3181ce9f08.

PMID:
20386104
9.
10.

Assessing the agreement of biomarker data in the presence of left-censoring.

Domthong U, Parikh CR, Kimmel PL, Chinchilli VM; Assessment, Serial Evaluation, and Subsequent Sequelae of Acute Kidney Injury Consortium..

BMC Nephrol. 2014 Sep 3;15:144. doi: 10.1186/1471-2369-15-144.

11.

Assessment of the Gould-Shih procedure for sample size re-estimation.

Waksman JA.

Pharm Stat. 2007 Jan-Mar;6(1):53-65.

PMID:
17133631
12.

Evaluating Left-Censored Data Through Substitution, Parametric, Semi-parametric, and Nonparametric Methods: A Simulation Study.

Tekindal MA, Erdoğan BD, Yavuz Y.

Interdiscip Sci. 2015 Nov 21. [Epub ahead of print]

PMID:
26590921
13.

Estimating the odds ratio when exposure has a limit of detection.

Cole SR, Chu H, Nie L, Schisterman EF.

Int J Epidemiol. 2009 Dec;38(6):1674-80. doi: 10.1093/ije/dyp269.

14.

A distribution-based multiple imputation method for handling bivariate pesticide data with values below the limit of detection.

Chen H, Quandt SA, Grzywacz JG, Arcury TA.

Environ Health Perspect. 2011 Mar;119(3):351-6. doi: 10.1289/ehp.1002124.

15.

Evaluation of maximum likelihood procedures to estimate left censored observations.

Jain RB, Caudill SP, Wang RY, Monsell E.

Anal Chem. 2008 Feb 15;80(4):1124-32. doi: 10.1021/ac0711788.

PMID:
18197633
17.

Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range.

Wan X, Wang W, Liu J, Tong T.

BMC Med Res Methodol. 2014 Dec 19;14:135. doi: 10.1186/1471-2288-14-135.

18.

Linear regression with an independent variable subject to a detection limit.

Nie L, Chu H, Liu C, Cole SR, Vexler A, Schisterman EF.

Epidemiology. 2010 Jul;21 Suppl 4:S17-24. doi: 10.1097/EDE.0b013e3181ce97d8.

19.

Statistical evaluation of several methods for cut-point determination of immunogenicity screening assay.

Shen M, Dong X, Tsong Y.

J Biopharm Stat. 2015;25(2):269-79. doi: 10.1080/10543406.2014.979196. Review.

PMID:
25356783
20.

Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies.

Bustad A, Terziivanov D, Leary R, Port R, Schumitzky A, Jelliffe R.

Clin Pharmacokinet. 2006;45(4):365-83.

PMID:
16584284

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