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Items: 1 to 20 of 25

1.

Propensity Score: an Alternative Method of Analyzing Treatment Effects.

Kuss O, Blettner M, Börgermann J.

Dtsch Arztebl Int. 2016 Sep 5;113(35-36):597-603. doi: 10.3238/arztebl.2016.0597. Review.

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3.

The z-difference can be used to measure covariate balance in matched propensity score analyses.

Kuss O.

J Clin Epidemiol. 2013 Nov;66(11):1302-7. doi: 10.1016/j.jclinepi.2013.06.001. Epub 2013 Aug 20.

PMID:
23972521
4.

Meta-analysis for diagnostic accuracy studies: a new statistical model using beta-binomial distributions and bivariate copulas.

Kuss O, Hoyer A, Solms A.

Stat Med. 2014 Jan 15;33(1):17-30. doi: 10.1002/sim.5909. Epub 2013 Jul 19.

PMID:
23873593
5.

The p-value - a well-understood and properly used statistical concept?

Kuss O, Stang A.

Contact Dermatitis. 2012 Jan;66(1):1-3. doi: 10.1111/j.1600-0536.2011.02002.x. No abstract available.

PMID:
22150901
6.

Do higher-risk patients benefit from off-pump coronary artery bypass grafting? Evidence from an ecologic analysis of randomized trials.

Kuss O, Börgermann J.

J Thorac Cardiovasc Surg. 2011 Sep;142(3):e117-22. doi: 10.1016/j.jtcvs.2011.04.032. Epub 2011 Jun 12.

7.

Treatments effects from randomized trials and propensity score analyses were similar in similar populations in an example from cardiac surgery.

Kuss O, Legler T, Börgermann J.

J Clin Epidemiol. 2011 Oct;64(10):1076-84. doi: 10.1016/j.jclinepi.2011.01.005. Epub 2011 Apr 9. Review.

PMID:
21482068
8.

Longevity of soccer players: an investigation of all German internationals from 1908 to 2006.

Kuss O, Kluttig A, Greiser KH.

Scand J Med Sci Sports. 2011 Dec;21(6):e260-5. doi: 10.1111/j.1600-0838.2010.01269.x. Epub 2011 Mar 16.

PMID:
21435018
9.

A confidence interval for the difference between two reaction indices.

Kuss O, Dickel H.

Contact Dermatitis. 2011 Mar;64(3):164-5. doi: 10.1111/j.1600-0536.2010.01826.x. No abstract available.

PMID:
21272023
10.

A confidence interval for the reaction index.

Kuss O, Dickel H.

Contact Dermatitis. 2010 Apr;62(4):252-3. doi: 10.1111/j.1600-0536.2010.01724.x. No abstract available.

PMID:
20433449
11.

Off-pump versus on-pump coronary artery bypass grafting: a systematic review and meta-analysis of propensity score analyses.

Kuss O, von Salviati B, Börgermann J.

J Thorac Cardiovasc Surg. 2010 Oct;140(4):829-35, 835.e1-13. doi: 10.1016/j.jtcvs.2009.12.022. Epub 2010 Feb 18. Review.

12.

Confidence intervals for the interaction contrast ratio.

Kuss O, Schmidt-Pokrzywniak A, Stang A.

Epidemiology. 2010 Mar;21(2):273-4. doi: 10.1097/EDE.0b013e3181cc9bfc. No abstract available.

PMID:
20160568
13.

Lunar cycle and the number of births: a spectral analysis of 4,071,669 births from South-Western Germany.

Kuss O, Kuehn A.

Acta Obstet Gynecol Scand. 2008;87(12):1378-9. doi: 10.1080/00016340802478174. No abstract available.

PMID:
18951204
14.

Meta-analyses with rare events should use adequate methods.

Kuss O, Gummert JF, Börgermann J.

J Thorac Cardiovasc Surg. 2008 Jul;136(1):241. doi: 10.1016/j.jtcvs.2007.12.046. No abstract available.

15.

A relative survival model for clustered responses.

Kuss O, Blankenburg T, Haerting J.

Biom J. 2008 Jun;50(3):408-18. doi: 10.1002/bimj.200710426.

PMID:
18435505
16.

Time domain parameters can be estimated with less statistical error than frequency domain parameters in the analysis of heart rate variability.

Kuss O, Schumann B, Kluttig A, Greiser KH, Haerting J.

J Electrocardiol. 2008 Jul-Aug;41(4):287-91. doi: 10.1016/j.jelectrocard.2008.02.014. Epub 2008 Mar 25.

PMID:
18367200
17.

An exact test for meta-analysis with binary endpoints.

Kuss O, Gromann C.

Methods Inf Med. 2007;46(6):662-8.

PMID:
18066416
18.

A note on the estimation of the multinomial logistic model with correlated responses in SAS.

Kuss O, McLerran D.

Comput Methods Programs Biomed. 2007 Sep;87(3):262-9. Epub 2007 Aug 7.

PMID:
17686544
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