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Estimating the risk of events with stprisk
M. Bottai. 2022.
Stata Journal Volume 22 Number 4.
Flexible parametric survival analysis with multiple timescales: Estimation and implementation using stmt
H. Bower, T. M.-L. Andersson, M. J. Crowther, and P. C. Lambert. 2022.
Stata Journal Volume 22 Number 3.
Simulating time-to-event data from parametric distributions, custom distributions, competing-risks models, and general multistate models
M. J. Crowther. 2022.
Stata Journal Volume 22 Number 1.
merlin––A unified modeling framework for data analysis and methods development in Stata
M. J. Crowther. 2020.
Stata Journal Volume 20 Number 4.
Multilevel mixed-effects parametric survival analysis: Estimation, simulation, and application
M. J. Crowther. 2019.
Stata Journal Volume 19 Number 4.
Bootstrap pointwise confidence intervals for covariate-adjusted survivor functions in the Cox model
C. Ruhe. 2019.
Stata Journal Volume 19 Number 1.
Power and sample-size analysis for the Royston–Parmar combined test in clinical trials with a time-to-event outcome: Correction and program update
P. Royston. 2018.
Stata Journal Volume 18 Number 4.
mstatecox: A package for simulating transition probabilities from semiparametric multistate survival models
S. K. Metzger and B. T. Jones. 2018.
Stata Journal Volume 18 Number 3.
giniinc: A Stata package for measuring inequality from incomplete income and survival data
L. Hong, G. Alfani, C. Gigliarano, and M. Bonetti. 2018.
Stata Journal Volume 18 Number 3.
Power and sample-size analysis for the Royston–Parmar combined test in clinical trials with a time-to-event outcome
P. Royston. 2018.
Stata Journal Volume 18 Number 1.
Estimating receiver operative characteristic curves for time-dependent outcomes: The stroccurve package
M. Cattaneo, P. Malighetti, and D. Spinelli. 2017.
Stata Journal Volume 17 Number 4.
Instantaneous geometric rates via generalized linear models
A. Discacciati and M. Bottai. 2017.
Stata Journal Volume 17 Number 2.
A combined test for a generalized treatment effect in clinical trials with a time-to-event outcome
P. Royston. 2017.
Stata Journal Volume 17 Number 2.
Multilevel multiprocess modeling with gsem
T. Bartus. 2017.
Stata Journal Volume 17 Number 2.
A flexible parametric competing-risks model using a direct likelihood approach for the cause-specific cumulative incidence function
S. I. Mozumder, M. J. Rutherford, and P. C. Lambert. 2017.
Stata Journal Volume 17 Number 2.
The estimation and modeling of cause-specific cumulative incidence functions using time-dependent weights
P. C. Lambert. 2017.
Stata Journal Volume 17 Number 1.
Estimating survival functions after stcox with time-varying coefficients
C. Ruhe. 2016.
Stata Journal Volume 16 Number 4.
strcs: A command for fitting flexible parametric survival models on the log-hazard scale
H. Bower, M. J. Crowther, and P. C. Lambert. 2016.
Stata Journal Volume 16 Number 4.
Versatile tests for comparing survival curves based on weighted log-rank statistics
T. G. Karrison. 2016.
Stata Journal Volume 16 Number 3.
strmst2 and strmst2pw: New commands to compare survival curves using the restricted mean survival time
A. Cronin, L. Tian, and H. Uno. 2016.
Stata Journal Volume 16 Number 3.
Regressions are commonly misinterpreted
D. C. Hoaglin. 2016.
Stata Journal Volume 16 Number 1.
Estimating the treatment effect in a clinical trial using difference in restricted mean survival time
P. Royston. 2015.
Stata Journal Volume 15 Number 4.
Estimation of mean health care costs and incremental cost-effectiveness ratios with possibly censored data
S. Chen, J. Rolfes, and H. Zhao. 2015.
Stata Journal Volume 15 Number 3.
Regression analysis of censored data using pseudo-observations: An update
M. Overgaard, P. K. Andersen, and E. T. Parner. 2015.
Stata Journal Volume 15 Number 3.
A menu-driven facility for sample-size calculation in multiarm, multistage randomized controlled trials with time-to-event outcomes: Update
D. J. Bratton, B. Choodari-Oskooei, and P. Royston. 2015.
Stata Journal Volume 15 Number 2.
Two-stage individual participant data meta-analysis and generalized forest plots
D. J. Fisher. 2015.
Stata Journal Volume 15 Number 2.
Estimating net survival using a life-table approach
E. Coviello, P. W. Dickman, K. Seppä, and A. Pokhrel. 2015.
Stata Journal Volume 15 Number 1.
Estimating and modeling relative survival
P. W. Dickman and E. Coviello. 2015.
Stata Journal Volume 15 Number 1.
Tools for checking calibration of a Cox model in external validation: Prediction of population-averaged survival curves based on risk groups
P. Royston. 2015.
Stata Journal Volume 15 Number 1.
Tools for checking calibration of a Cox model in external validation: Approach based on individual event probabilities
P. Royston. 2014.
Stata Journal Volume 14 Number 4.
Estimation of multiprocess survival models with cmp
T. Bartus and D. Roodman. 2014.
Stata Journal Volume 14 Number 4.
Net survival estimation with stns
I. Clerc-Urmès, M. Grzebyk, and G. Hédelin. 2014.
Stata Journal Volume 14 Number 1.
strel2: A command for estimating excess hazard and relative survival in large population-based studies
M. Hills, B. Rachet, and M. Falcaro. 2014.
Stata Journal Volume 14 Number 1.
Attributable and unattributable risks and fractions and other scenario comparisons
Roger B. Newson. 2013.
Stata Journal Volume 13 Number 4.
Flexible parametric illness-death models
S. R. Hinchliffe, D. A. Scott, and P. C. Lambert. 2013.
Stata Journal Volume 13 Number 4.
A command for Laplace regression
M. Bottai and N. Orsini. 2013.
Stata Journal Volume 13 Number 2.
Extending the flexible parametric survival model for competing risks
S. R. Hinchliffe and P. C. Lambert. 2013.
Stata Journal Volume 13 Number 2.
Joint modeling of longitudinal and survival data
M. J. Crowther, K. R. Abrams, and P. C. Lambert. 2013.
Stata Journal Volume 13 Number 1.
Review of Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model by Patrick Royston and Paul C. Lambert
N. Orsini. 2013.
Stata Journal Volume 13 Number 1.
Fitting and modeling cure in population-based cancer studies within the framework of flexible parametric survival models
T. M.-L. Andersson and P. C. Lambert. 2012.
Stata Journal Volume 12 Number 4.
Tools to simulate realistic censored survival-time distributions
P. Royston. 2012.
Stata Journal Volume 12 Number 4.
Simulating complex survival data
M. J. Crowther and P. C. Lambert. 2012.
Stata Journal Volume 12 Number 4.
Threshold regression for time-to-event analysis: The stthreg package
T. Xiao, G. A. Whitmore, X. He, and M.-L. T. Lee. 2012.
Stata Journal Volume 12 Number 2.
Stata tip 94: Manipulation of prediction parameters for parametric survival regression models
T. Boswell and R. G. Gutierrez. 2011.
Stata Journal Volume 11 Number 1.
Comparing the predictive powers of survival models using Harrell's C or Somers' D
R. B. Newson. 2010.
Stata Journal Volume 10 Number 3.
Regression analysis of censored data using pseudo-observations
E. T. Parner and P. K. Andersen. 2010.
Stata Journal Volume 10 Number 3.
A menu-driven facility for sample-size calculation in novel multiarm, multistage randomized controlled trials with a time-to-event outcome
F. M.-S. Barthel, P. Royston, and M. K. B. Parmar. 2009.
Stata Journal Volume 9 Number 4.
Further development of flexible parametric models for survival analysis
P. C. Lambert and P. Royston. 2009.
Stata Journal Volume 9 Number 2.
Multiple imputation of missing values: further update of ice, with an emphasis on interval censoring
P. Royston. 2007.
Stata Journal Volume 7 Number 4.
Modeling of the cure fraction in survival studies
P. C. Lambert. 2007.
Stata Journal Volume 7 Number 3.
Graphical representation of interactions
F. M.-S. Barthel and P. Royston. 2006.
Stata Journal Volume 6 Number 3.
Explained variation for survival models
P. Royston. 2006.
Stata Journal Volume 6 Number 1.
Buckley–James method for analyzing censored data, with an application to a cardiovascular disease and an HIV/AIDS study
J. Cui. 2005.
Stata Journal Volume 5 Number 4.
Review of Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models by Vittinghoff, Glidden, Shiboski, and McCulloch
S. Lemeshow and M. L. Moeschberger. 2005.
Stata Journal Volume 5 Number 2.
A menu–driven facility for complex sample size calculation in randomized controlled trials with a survival or a binary outcome: Update
F. M.-S. Barthel, P. Royston, and A. Babiker. 2005.
Stata Journal Volume 5 Number 1.
Controlling for time–dependent confounding using marginal structural models
Z. Fewell, M. A. Hernán, F. Wolfe, K. Tilling, H. Choi, J. A. C. Sterne. 2004.
Stata Journal Volume 4 Number 4.
Multiple imputation of missing values
P. Royston. 2004.
Stata Journal Volume 4 Number 3.
Compliance–adjusted intervention effects in survival data
L. G. Kim and I. R. White. 2004.
Stata Journal Volume 4 Number 3.
Cumulative incidence estimation in the presence of competing risks
V. Coviello and M. Boggess. 2004.
Stata Journal Volume 4 Number 2.
From the help desk: Kaplan–Meier plots with stsatrisk
J. M. Linhart, J. S. Pitblado, and J. Hassell. 2004.
Stata Journal Volume 4 Number 1.
Flexible parametric alternatives to the Cox model: update
P. Royston. 2004.
Stata Journal Volume 4 Number 1.
Using Aalen's linear hazards model to investigate time–varying effects in the proportional hazards regression model
D. W. Hosmer and P. Royston. 2002.
Stata Journal Volume 2 Number 4.
Programmable GLM: Two user–defined links
W. Guan & R. G. Gutierrez. 2002.
Stata Journal Volume 2 Number 4.
Review of An Introduction to Survival Analysis Using Stata
D. W. Hosmer. 2002.
Stata Journal Volume 2 Number 4.
strbee: Randomization–based efficacy estimator
I. R. White, S. Walker, and A. Babiker. 2002.
Stata Journal Volume 2 Number 2.
A menu–driven facility for complex sample size calculation in randomized controlled trials with a survival or a binary outcome
P. Royston and A. Babiker. 2002.
Stata Journal Volume 2 Number 2.
G–estimation of causal effects, allowing for time–varying confounding
J. A. C. Sterne and K. Tilling. 2002.
Stata Journal Volume 2 Number 2.
Parametric frailty and shared frailty survival models
R. G. Gutierrez. 2002.
Stata Journal Volume 2 Number 1.
Flexible parametric alternatives to the Cox model, and more
P. Royston. 2001.
Stata Journal Volume 1 Number 1.