Published in BMC Med Res Methodol on June 08, 2013
Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med (1996) 46.18
Dichotomizing continuous predictors in multiple regression: a bad idea. Stat Med (2006) 8.25
Dangers of using "optimal" cutpoints in the evaluation of prognostic factors. J Natl Cancer Inst (1994) 7.91
Multiple testing with minimal assumptions. Biom J (2008) 1.87
Against quantiles: categorization of continuous variables in epidemiologic research, and its discontents. BMC Med Res Methodol (2012) 1.47
Applying the generalized partitioning principle to control the generalized familywise error rate. Biom J (2007) 0.99
Asymptotic distribution of score statistics for spatial cluster detection with censored data. Biometrics (2008) 0.93
Relationships between cholesterol, apolipoprotein E polymorphism and dementia: a cross-sectional analysis from the PAQUID study. Neuroepidemiology (2000) 0.93
Efficient p-value evaluation for resampling-based tests. Biostatistics (2011) 0.92
Correction of the P-value after multiple coding of an explanatory variable in logistic regression. Stat Med (2001) 0.83
Correction of the p-value after multiple tests in a Cox proportional hazard model. Lifetime Data Anal (2002) 0.79
Power and sample size determination in clinical trials with multiple primary continuous correlated endpoints. J Biopharm Stat (2014) 0.75