Prediction meets causal inference: the role of treatment in clinical prediction models

A causal framework for classical statistical estimands in failure‐time settings with competing events

(2020) Jessica G. Young et al.   STATISTICS IN MEDICINE

Ensemble prediction of time‐to‐event outcomes with competing risks: a case‐study of surgical complications in Crohn's disease

(2019) Michael C. Sachs et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Accounting for time‐dependent treatment use when developing a prognostic model from observational data: A review of methods

(2019) Romin Pajouheshnia et al.   STATISTICA NEERLANDICA

2017 Cardiovascular and Stroke Endpoint Definitions for Clinical Trials

(2018) Karen A. Hicks et al.   CIRCULATION

Using marginal structural models to adjust for treatment drop-in when developing clinical prediction models

(2018) Matthew Sperrin et al.   STATISTICS IN MEDICINE

Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study

(2017) Julia Hippisley-Cox et al.   BMJ-British Medical Journal

Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study

(2017) Julia Hippisley-Cox et al.   BMJ-British Medical Journal

Prediction models for the mortality risk in chronic dialysis patients: a systematic review and independent external validation study

(2017) Chava Ramspek et al.   Clinical Epidemiology

Explicit inclusion of treatment in prognostic modeling was recommended in observational and randomized settings

(2016) Rolf H.H. Groenwold et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration

(2015) Karel G.M. Moons et al.   ANNALS OF INTERNAL MEDICINE

Dependent censoring in piecewise exponential survival models

(2014) ND Staplin et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Correcting for the dependent competing risk of treatment using inverse probability of censoring weighting and copulas in the estimation of natural conception chances

(2014) N. van Geloven et al.   STATISTICS IN MEDICINE

Relaxing the independent censoring assumption in the Cox proportional hazards model using multiple imputation

(2014) Dan Jackson et al.   STATISTICS IN MEDICINE

Prognosis research strategy (PROGRESS) 1: A framework for researching clinical outcomes

(2013) H. Hemingway et al.   BMJ-British Medical Journal

Limitation of Inverse Probability-of-Censoring Weights in Estimating Survival in the Presence of Strong Selection Bias

(2011) Chanelle J. Howe et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Quantifying the predictive accuracy of time-to-event models in the presence of competing risks

(2011) Rotraut Schoop et al.   BIOMETRICAL JOURNAL

Interpretability and importance of functionals in competing risks and multistate models

(2011) Per Kragh Andersen et al.   STATISTICS IN MEDICINE

Time-Dependent Predictive Accuracy in the Presence of Competing Risks

(2010) P. Saha et al.   BIOMETRICS

On the Consistency Rule in Causal Inference

(2010) Judea Pearl   EPIDEMIOLOGY

Prediction of adverse maternal outcomes in pre-eclampsia: development and validation of the fullPIERS model

(2010) Peter von Dadelszen et al.   LANCET

Constructing Inverse Probability Weights for Marginal Structural Models

(2008) S. R. Cole et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Predicting cumulative incidence probability by direct binomial regression

(2008) T. H. Scheike et al.   BIOMETRIKA

Estimation of controlled direct effects

(2008) Sylvie Goetgeluk et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Nonparametric comparison of two survival functions with dependent censoring via nonparametric multiple imputation

(2008) Chiu-Hsieh Hsu et al.   STATISTICS IN MEDICINE

Estimation of the marginal survival time in the presence of dependent competing risks using inverse probability of censoring weighted (IPCW) methods

(2007) Yutaka Matsuyama et al.   PHARMACEUTICAL STATISTICS