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Items: 1 to 20 of 216

1.

Quantile regression and restricted cubic splines are useful for exploring relationships between continuous variables.

Marrie RA, Dawson NV, Garland A.

J Clin Epidemiol. 2009 May;62(5):511-7.e1. doi: 10.1016/j.jclinepi.2008.05.015. Epub 2009 Jan 9.

PMID:
19135859
2.
3.
4.

A better lemon squeezer? Maximum-likelihood regression with beta-distributed dependent variables.

Smithson M, Verkuilen J.

Psychol Methods. 2006 Mar;11(1):54-71.

PMID:
16594767
5.

Analyzing hospital length of stay: mean or median regression?

Lee AH, Fung WK, Fu B.

Med Care. 2003 May;41(5):681-6.

PMID:
12719692
6.

A review of statistical estimators for risk-adjusted length of stay: analysis of the Australian and new Zealand Intensive Care Adult Patient Data-Base, 2008-2009.

Moran JL, Solomon PJ; ANZICS Centre for Outcome and Resource Evaluation (CORE) of the Australian and New Zealand Intensive Care Society (ANZICS).

BMC Med Res Methodol. 2012 May 16;12:68. doi: 10.1186/1471-2288-12-68.

7.

The consistency of ordinary least-squares and generalized least-squares polynomial regression on characterizing the mechanomyographic amplitude versus torque relationship.

Herda TJ, Housh TJ, Weir JP, Ryan ED, Costa PB, Defreitas JM, Walter AA, Stout JR, Beck TW, Cramer JT.

Physiol Meas. 2009 Feb;30(2):115-28. doi: 10.1088/0967-3334/30/2/001. Epub 2009 Jan 9.

PMID:
19136735
8.
9.

The impact of time to tracheostomy on mechanical ventilation duration, length of stay, and mortality in intensive care unit patients.

Arabi YM, Alhashemi JA, Tamim HM, Esteban A, Haddad SH, Dawood A, Shirawi N, Alshimemeri AA.

J Crit Care. 2009 Sep;24(3):435-40. doi: 10.1016/j.jcrc.2008.07.001. Epub 2009 Jan 17.

PMID:
19327302
10.

Flexible regression models with cubic splines.

Durrleman S, Simon R.

Stat Med. 1989 May;8(5):551-61.

PMID:
2657958
11.

Partially linear censored quantile regression.

Neocleous T, Portnoy S.

Lifetime Data Anal. 2009 Sep;15(3):357-78. doi: 10.1007/s10985-009-9117-5. Epub 2009 May 6.

PMID:
19418223
12.

A method for fitting regression splines with varying polynomial order in the linear mixed model.

Edwards LJ, Stewart PW, MacDougall JE, Helms RW.

Stat Med. 2006 Feb 15;25(3):513-27.

PMID:
16158407
13.

Just-identified versus overidentified two-level hierarchical linear models with missing data.

Shin Y, Raudenbush SW.

Biometrics. 2007 Dec;63(4):1262-8. Epub 2007 May 14.

14.

The problem of analysing the relationship between change and initial value in oral health research.

Tu YK, Baelum V, Gilthorpe MS.

Eur J Oral Sci. 2005 Aug;113(4):271-8.

PMID:
16048518
15.
16.

Estimating linear regression models in the presence of a censored independent variable.

Austin PC, Hoch JS.

Stat Med. 2004 Feb 15;23(3):411-29.

PMID:
14748036
17.

A simple significance test for quantile regression.

Redden DT, Fernández JR, Allison DB.

Stat Med. 2004 Aug 30;23(16):2587-97.

PMID:
15287086
18.

Interpretation of research data: regression analysis.

Nelson AA Jr.

Am J Hosp Pharm. 1981 Feb;38(2):224-30.

PMID:
7211887
19.

[Regression and correlation].

Johnsen HM.

Nord Med. 1990;105(4):121-3. Norwegian.

PMID:
2342880
20.

[Categorizing variables in the statistical analysis of data: consequences for interpreting the results].

Cumsille F, Bangdiwala SI.

Rev Panam Salud Publica. 2000 Nov;8(5):348-54. Spanish.

PMID:
11190972

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