supplement.tex

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% Title
\title{Supplemental Appendix: Penalized regression for left-truncated and right-censored survival data}

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\author[1]{Sarah F. McGough\thanks{Contributed equally.}}
\author[1]{Devin Incerti\samethanks}
\author[1]{Svetlana Lyalina}
\author[1]{Ryan Copping}
\author[2, 3]{Balasubramanian Narasimhan}
\author[2, 3]{Robert Tibshirani}
\affil[1]{Genentech, Inc, South San Francisco, CA, USA}
\affil[2]{Department of Statistics, Stanford University, Stanford, CA, USA}
\affil[3]{Department of Biomedical Data Science, Stanford University, Stanford, CA, USA}

\date{\today}

\begin{document}
\maketitle

\begin{figure}[h]
\centering
\includegraphics[max size={\textwidth}]{figs/sim_calibration_cumhaz.pdf} 
\caption{Cumulative hazards among non-small cell lung cancer patients in the CGDB in models adjusting for right censoring and left truncation}
\begin{minipage}{\linewidth}
\footnotesize
Notes: The left and right facets plot cumulative hazards for overall survival (i.e., time to death) and followup time (i.e., time to right censoring), respectively. Estimates in the rightmost plot use a ``reverse Kaplan-Meier'' approach whereby the meaning of an event and censoring are flipped. The spline models were fit with one internal knot at the median of the log of followup time. 
\end{minipage}
\end{figure}

\begin{figure}[h]
\centering
\includegraphics[max size={\textwidth}]{figs/sim_p11_km_plot_rwd_v_sim.pdf} 
\caption{Kaplan-Meier plots of overall survival from models that adjust for right censoring but not left truncation in the simulated data and CGDB}
\begin{minipage}{\linewidth}
\footnotesize
Notes: The simulated dataset was simulated using a Weibull model including the predictors described in the main text from the CGDB. Only non-truncated patients from the simulation were used for estimation. 
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\end{figure}



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