Two-stage residual inclusion for survival data and competing risks-An instrumental variable approach with application to SEER-Medicare linked data

Instrumental variable with competing risk model

(2017) Cheng Zheng et al.   STATISTICS IN MEDICINE

10-Year Outcomes after Monitoring, Surgery, or Radiotherapy for Localized Prostate Cancer

(2016) Freddie C. Hamdy et al.   NEW ENGLAND JOURNAL OF MEDICINE

Instrumental Variable Estimation in a Survival Context

(2015) Eric J. Tchetgen Tchetgen et al.   EPIDEMIOLOGY

Assessing the Causal Relationship of Maternal Height on Birth Size and Gestational Age at Birth: A Mendelian Randomization Analysis

(2015) Ge Zhang et al.   PLOS MEDICINE

Instrumental variable additive hazards models

(2014) Jialiang Li et al.   BIOMETRICS

On collapsibility and confounding bias in Cox and Aalen regression models

(2013) Torben Martinussen et al.   LIFETIME DATA ANALYSIS

Credible Mendelian Randomization Studies: Approaches for Evaluating the Instrumental Variable Assumptions

(2012) M. M. Glymour et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Two-stage instrumental variable methods for estimating the causal odds ratio: Analysis of bias

(2011) Bing Cai et al.   STATISTICS IN MEDICINE

Comparative Effectiveness of Prostate Cancer Treatments: Evaluating Statistical Adjustments for Confounding in Observational Data

(2010) J. Hadley et al.   JNCI-Journal of the National Cancer Institute

Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling

(2007) Joseph V. Terza et al.   JOURNAL OF HEALTH ECONOMICS

Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology

(2007) Debbie A. Lawlor et al.   STATISTICS IN MEDICINE