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Modelling the distribution of health related quality of life of advanced melanoma patients in a longitudinal multi-centre clinical trial using M-quantile random effects regression

Borgini, Riccardo; Bianco, Paola Del; Salvati, Nicola; … - 2015

Health-related quality of life assessment is important in the clinical evaluation of patients with metastatic disease that may offer useful information in understanding the clinical effectiveness of a treatment. To assess if a set of explicative variables impacts on the health-related quality of...

Persistent link: https://www.econbiz.de/10011291429

Inference robust to outliers with L1-norm penalization

Beyhum, Jad - 2019

Persistent link: https://www.econbiz.de/10012181964

Gaussian rank correlation and regression

Amengual, Dante; Sentana, Enrique; Tian, Zhanyuan - 2020

Persistent link: https://www.econbiz.de/10012232995

Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs

Calonico, Sebastian; Cattaneo, Matias D.; Farrell, Max H. - In: The econometrics journal 23 (2020) 2, pp. 192-210

Persistent link: https://www.econbiz.de/10012236234

Wild bootstrap for fuzzy regression discontinuity designs : obtaining robust bias-corrected confidence intervals

He, Yang; Bartalotti, Otávio - In: The econometrics journal 23 (2020) 2, pp. 211-231

Persistent link: https://www.econbiz.de/10012236235

Social classes of intelligence, economic growth and technological achievement : robust regression and outlier detection

Burhan, Nik Ahmad Sufian; Razak, Razli Che; Ibrahim, … - In: Journal of interdisciplinary economics 30 (2018) 2, pp. 148-163

Persistent link: https://www.econbiz.de/10012154216

Robust econometric inference with mixed integrated and mildly explosive regressors

Phillips, Peter C. B.; Lee, Ji Hyung - In: Journal of econometrics 192 (2016) 2, pp. 433-450

Persistent link: https://www.econbiz.de/10011704727

Robust approaches for monitoring logistic regression profiles under outliers

Hakimi, Ahmad; Amiri, Amirhossein; Kamranrad, Reza - In: International journal of quality & reliability management 34 (2017) 4, pp. 494-507

Persistent link: https://www.econbiz.de/10011704843

A robust support vector regression with a linear-log concave loss function

Kim, Dohyun; Lee, Chungmok; Hwang, Sangheum; Jeong, Myong K. - In: Journal of the Operational Research Society : OR 67 (2016) 5, pp. 735-742

Persistent link: https://www.econbiz.de/10011517441

Survival analysis in product life cycle investigations : an assessment of robustness for the German automobile industry

Krüger, Jens - 2015

We apply various refinements of survival regression to assess the results of some basic specifications based on product life cycle theory for the case of a data set of the German automobile industry. The methods applied pay attention to biases in the coefficient estimates and the standard...

Persistent link: https://www.econbiz.de/10011802859