Pages that link to "Item:Q3434081"

The following pages link to Efficient estimation of semiparametric transformation models for counting processes (Q3434081):

Displaying 50 items.

• Statistical inference based on the nonparametric maximum likelihood estimator under double-truncation (Q134935) (← links)
• Nonparametric maximum likelihood estimation for dependent truncation data based on copulas (Q151557) (← links)
• Joint modeling of recurrent event processes and intermittently observed time-varying binary covariate processes (Q268692) (← links)
• A general additive-multiplicative rates model for recurrent and terminal events (Q277109) (← links)
• A new joint model of recurrent event data with the additive hazards model for the terminal event time (Q314550) (← links)
• Partial marginal likelihood estimation for general transformation models (Q391907) (← links)
• Gene-level pharmacogenetic analysis on survival outcomes using gene-trait similarity regression (Q400685) (← links)
• Exploring the varying covariate effects in proportional odds models with censored data (Q432313) (← links)
• Estimation for semiparametric transformation models with length-biased sampling (Q464588) (← links)
• A class of semiparametric transformation models for survival data with a cured proportion (Q509831) (← links)
• Joint modeling approach for semicompeting risks data with missing nonterminal event status (Q509857) (← links)
• On the Breslow estimator (Q636146) (← links)
• Joint modeling of failure time data with transformation model and longitudinal data when covariates are measured with errors (Q692708) (← links)
• Joint analysis of recurrent event data with additive-multiplicative hazards model for the terminal event time (Q723449) (← links)
• A joint model of cancer incidence, metastasis, and mortality (Q725409) (← links)
• A class of Box-Cox transformation models for recurrent event data (Q746111) (← links)
• Maximum likelihood analysis of semicompeting risks data with semiparametric regression models (Q746119) (← links)
• On estimation of linear transformation models with nested case-control sampling (Q746122) (← links)
• A two-stage estimation in the Clayton-Oakes model with marginal linear transformation models for multivariate failure time data (Q746124) (← links)
• An additive-multiplicative rates model for recurrent event data with informative terminal event (Q746415) (← links)
• An introduction to survival models: in honor of Ross Prentice (Q746481) (← links)
• Adopting nested case-control quota sampling designs for the evaluation of risk markers (Q746492) (← links)
• A flexible semiparametric transformation model for recurrent event data (Q746632) (← links)
• The semiparametric accelerated trend-renewal process for recurrent event data (Q825267) (← links)
• An additive-multiplicative rates model for multivariate recurrent events with event categories missing at random (Q889802) (← links)
• Partially linear transformation models with varying coefficients for multivariate failure time data (Q893174) (← links)
• On sparse estimation for semiparametric linear transformation models (Q972891) (← links)
• Joint analysis of recurrent event data with a dependent terminal event (Q1621117) (← links)
• A class of transformed hazards models for recurrent gap times (Q1623789) (← links)
• Conditional maximum likelihood estimation in semiparametric transformation model with LTRC data (Q1642142) (← links)
• Semiparametric maximum likelihood estimation for the Cox model with length-biased survival data (Q1642747) (← links)
• Regression analysis for the proportional hazards model with parameter constraints under case-cohort design (Q1662055) (← links)
• A semiparametric additive rates model for multivariate recurrent events with missing event categories (Q1663251) (← links)
• A class of semiparametric transformation cure models for interval-censored failure time data (Q1727901) (← links)
• Semiparametric model of mean residual life with biased sampling data (Q2008120) (← links)
• Pseudo maximum likelihood estimation for the Cox model with doubly truncated data (Q2010790) (← links)
• On semiparametric transformation model with LTRC data: pseudo likelihood approach (Q2066482) (← links)
• Varying coefficient transformation cure models for failure time data (Q2223342) (← links)
• Generalized inverse-Gaussian frailty models with application to TARGET neuroblastoma data (Q2230877) (← links)
• Case-cohort analysis with semiparametric transformation models (Q2272128) (← links)
• On a general class of semiparametric hazards regression models for recurrent gap times (Q2274179) (← links)
• A semiparametric additive rate model for a modulated renewal process (Q2274650) (← links)
• Mixture regression models for the gap time distributions and illness-death processes (Q2274668) (← links)
• Conditional maximum likelihood estimation for semiparametric transformation models with doubly truncated data (Q2291298) (← links)
• Semiparametric regression analysis of doubly censored failure time data from cohort studies (Q2308439) (← links)
• Maximum likelihood estimation in transformed linear regression with nonnormal errors (Q2313272) (← links)
• Efficient sieve maximum likelihood estimation of time-transformation models (Q2320838) (← links)
• Pseudo MLE for semiparametric transformation model with doubly truncated data (Q2325316) (← links)
• Semiparametric regression analysis for left-truncated and interval-censored data without or with a cure fraction (Q2337324) (← links)
• A class of transformation rate models for recurrent event data (Q2360811) (← links)