124 related articles for article (PubMed ID: 24989698)
1. Estimating dichotomised outcomes in two groups with unequal variances: a distributional approach.
Sauzet O; Peacock JL
Stat Med; 2014 Nov; 33(26):4547-59. PubMed ID: 24989698
[TBL] [Abstract][Full Text] [Related]
2. Dichotomisation using a distributional approach when the outcome is skewed.
Sauzet O; Ofuya M; Peacock JL
BMC Med Res Methodol; 2015 Apr; 15():40. PubMed ID: 25902850
[TBL] [Abstract][Full Text] [Related]
3. Dichotomising continuous data while retaining statistical power using a distributional approach.
Peacock JL; Sauzet O; Ewings SM; Kerry SM
Stat Med; 2012 Nov; 31(26):3089-103. PubMed ID: 22865598
[TBL] [Abstract][Full Text] [Related]
4. Using marginal standardisation to estimate relative risk without dichotomising continuous outcomes.
Chen Y; Ning Y; Kao SL; Støer NC; Müller-Riemenschneider F; Venkataraman K; Khoo EYH; Tai ES; Tan CS
BMC Med Res Methodol; 2019 Jul; 19(1):165. PubMed ID: 31357938
[TBL] [Abstract][Full Text] [Related]
5. Odd odds interactions introduced through dichotomisation of continuous outcomes.
Breitling LP; Brenner H
J Epidemiol Community Health; 2010 Apr; 64(4):300-3. PubMed ID: 19692723
[TBL] [Abstract][Full Text] [Related]
6. A modified approach to estimating sample size for simple logistic regression with one continuous covariate.
Novikov I; Fund N; Freedman LS
Stat Med; 2010 Jan; 29(1):97-107. PubMed ID: 19823978
[TBL] [Abstract][Full Text] [Related]
7. Analysis of covariance with pre-treatment measurements in randomized trials under the cases that covariances and post-treatment variances differ between groups.
Funatogawa T; Funatogawa I; Shyr Y
Biom J; 2011 May; 53(3):512-24. PubMed ID: 22223254
[TBL] [Abstract][Full Text] [Related]
8. On sample size calculation for 2x2 fixed-effect ANOVA when variances are unknown and possibly unequal.
Guo JH; Luh WM
Br J Math Stat Psychol; 2009 May; 62(Pt 2):417-25. PubMed ID: 18559139
[TBL] [Abstract][Full Text] [Related]
9. Odds ratios for a continuous outcome variable without dichotomizing.
Moser BK; Coombs LP
Stat Med; 2004 Jun; 23(12):1843-60. PubMed ID: 15195319
[TBL] [Abstract][Full Text] [Related]
10. Improving analysis practice of continuous adverse event outcomes in randomised controlled trials - a distributional approach.
Chis Ster A; Phillips R; Sauzet O; Cornelius V
Trials; 2021 Jun; 22(1):419. PubMed ID: 34187533
[TBL] [Abstract][Full Text] [Related]
11. Dichotomisation of a continuous outcome and effect on meta-analyses: illustration of the distributional approach using the outcome birthweight.
Ofuya M; Sauzet O; Peacock JL
Syst Rev; 2014 Jun; 3():63. PubMed ID: 24920271
[TBL] [Abstract][Full Text] [Related]
12. The logistic transform for bounded outcome scores.
Lesaffre E; Rizopoulos D; Tsonaka R
Biostatistics; 2007 Jan; 8(1):72-85. PubMed ID: 16597671
[TBL] [Abstract][Full Text] [Related]
13. Effect of dichotomising a continuous variable on the assessment of familial aggregation: an empirical study using body mass index data from the Busselton Health Study.
Fitzgerald P; Knuiman MW; Divitini ML; Bartholomew HC
J Epidemiol Biostat; 1999; 4(4):321-7. PubMed ID: 10764246
[TBL] [Abstract][Full Text] [Related]
14. Cross-validation for linear model with unequal variances in genomic analysis.
Li L; Chow SC; Smith W
J Biopharm Stat; 2004 Aug; 14(3):723-39. PubMed ID: 15468761
[TBL] [Abstract][Full Text] [Related]
15. Multiple contrast tests for multiple endpoints in the presence of heteroscedasticity.
Hasler M
Int J Biostat; 2014; 10(1):17-28. PubMed ID: 24516005
[TBL] [Abstract][Full Text] [Related]
16. Analysis of covariance with pre-treatment measurements in randomized trials: comparison of equal and unequal slopes.
Funatogawa I; Funatogawa T
Biom J; 2011 Sep; 53(5):810-21. PubMed ID: 21887795
[TBL] [Abstract][Full Text] [Related]
17. Interval estimation for the area under the receiver operating characteristic curve when data are subject to error.
Li Y; Koval JJ; Donner A; Zou GY
Stat Med; 2010 Oct; 29(24):2521-31. PubMed ID: 20684006
[TBL] [Abstract][Full Text] [Related]
18. A simple procedure to compute the sample size needed to compare two independent groups when the population variances are unequal.
Singer J
Stat Med; 2001 Apr; 20(7):1089-95. PubMed ID: 11276038
[TBL] [Abstract][Full Text] [Related]
19. Approximate sample size formulas for the two-sample trimmed mean test with unequal variances.
Luh WM; Guo JH
Br J Math Stat Psychol; 2007 May; 60(Pt 1):137-46. PubMed ID: 17535584
[TBL] [Abstract][Full Text] [Related]
20. Interval estimates for the ratio and difference of two lognormal means.
Chen YH; Zhou XH
Stat Med; 2006 Dec; 25(23):4099-113. PubMed ID: 16479559
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
