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We introduce a generalized additive model for location, scale, and shape (GAMLSS) next of kin aiming at distribution-free and parsimonious regression modelling for arbitrary outcomes.
“A Multiparameter Regression Model for Interval-Censored Survival Data.”
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“A Comparison of Combination Chemotherapy and Combined Modality Therapy for Locally Advanced Gastric Carcinoma.”
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“A General Regression Methodology for ROC Curve Estimation.”
Tosteson ANA, Begg CB (1988) · 1988
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“Partial Proportional Odds Models for Ordinal Response Variables.”
Peterson B, Harrell FE (1990) · 1990
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“Location-Scale Cumulative Odds Models for Ordinal Data: A General Non-Linear Model Approach.”
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“Demand for Medical Care by the Elderly: A Finite Mixture Approach.”
Deb P, Trivedi PK (1997) · 1997
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“Continuing Positive Secular Growth Change in The Netherlands 1955–1997.”
Fredriks AM, van Buuren S, Burgmeijer RJF, Meulmeester JF, Beuker RJ, Brugman E, Roede MJ, Verloove-Vanhorick SP, Wit J (2000) · 1997
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Optimization with Constraints
Madsen K, Nielsen HB, Tingleff O (2004) · 2004
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“Generalized Additive Models for Location, Scale and Shape.”
Rigby RA, Stasinopoulos DM (2005) · 2005
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“A Lego System for Conditional Inference.”
Hothorn T, Hornik K, van de Wiel MA, Zeileis A (2006) · 2006
Cited alongside, same era.
“Non Proportional Odds Models Are Widely Dispensable – Sparser Modeling Based on Parametric and Additive Location-Shift Approaches.”
Tutz G, Berger M (2020) · 2006
Cited alongside, same era.
“Generalized Additive Models for Location Scale and Shape (GAMLSS) in \proglang
Stasinopoulos DM, Rigby RA (2007) · 2007
Cited alongside, same era.
“Maximum Likelihood Estimation in Semiparametric Regression Models with Censored Data.”
Zeng D, Lin DY (2007) · 2007
Cited alongside, same era.
“Partner Wealth Predicts Self-Reported Orgasm Frequency in a Sample of Chinese Women.”
Pollet TV, Nettle D (2009) · 2008
Cited alongside, same era.
“Generalized Additive Models for Location, Scale and Shape for High-dimensional Data – A Flexible Approach Based on Boosting.”
“Multi-Parameter Regression Survival Modeling: An Alternative to Proportional Hazards.”
Burke K, MacKenzie G (2017) · 2017
Later among the works it cites.
“Most Likely Transformations.”
Hothorn T, Möst L, Bühlmann P (2018) · 2018
Later among the works it cites.
Distributions for Modeling Location, Scale, and Shape: Using GAMLSS in \proglang
Rigby R, Stasinopoulos DM, Heller G, De Bastiani F (2019) · 2019
Later among the works it cites.
“The Impact of Prepartum Factor XIII Activity on Postpartum Blood Loss.”
Haslinger C, Korte W, Hothorn T, Brun R, Greenberg C, Zimmermann R (2020) · 2020
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“A Polynomial Algorithm for Best-Subset Selection Problem.”
Zhu J, Wen C, Zhu J, Zhang H, Wang X (2020) · 2020
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“Predictive Distribution Modelling Using Transformation Forests.”
Hothorn T, Zeileis A (2021) · 2021
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Mayr A, Fenske N, Hofner B, Kneib T, Schmid M (2012) · 2011
Cited alongside, same era.
“Probabilistic Index Models.”
Thas O, De Neve J, Clement L, Ottoy JP (2012) · 2011
Cited alongside, same era.
“The Bernstein Polynomial Basis: A Centennial Retrospective.”
Farouki RT (2012) · 2012
Cited alongside, same era.
“Efficient Sieve Maximum Likelihood Estimation of Time-Transformation Models.”
McLain AC, Ghosh SK (2013) · 2013
Cited alongside, same era.
“Temporal Patterns of Deer-Vehicle Collisions Consistent with Deer Activity Pattern and Density Increase but not General Accident Risk.”
Hothorn T, Müller J, Held L, Möst L, Mysterud A (2015) · 2015
Cited alongside, same era.
“Separating Location and Dispersion in Ordinal Regression Models.”
Tutz G, Berger M (2017) · 2016
Cited alongside, same era.
“Semiparametric Multiparameter Regression Survival Modeling.”
Burke K, Eriksson F, Pipper CB (2020a)
Cited in the paper.
Later among the works it cites.
“Rage Against the Mean – A Review of Distributional Regression Approaches.”
Kneib T, Silbersdorff A, Säfken B (2023) · 2021
Later among the works it cites.
\proglang
\proglang · 2023
Closest in time.
“Estimating Transformations for Evaluating Diagnostic Tests with Covariate Adjustment.”
Sewak A, Hothorn T (2023) · 2023
Closest in time.
“Count Transformation Models.”
Siegfried S, Hothorn T (2020) · 2041
Closest in time.