Count Data Models With Heterogeneous Peer Effects Under Rational Expectations
ABSTRACT This paper develops a peer effect model for count responses under rational expectations. The model accounts for heterogeneity in peer effects across groups based on observed characteristics. Identification is based on the linear model condition that requires the presence of friends of friends who are not direct friends.
Aristide Houndetoungan
wiley +1 more source
This study is to assess the predictive value of the modified lung ultrasound score (mLUS) for late respiratory diseases in premature infants born before 32 weeks of gestation. It is recommended that the use of mLUS scoring be promoted in clinical practice for the early screening of high‐risk preterm infants.
Shuang Zheng +4 more
wiley +1 more source
A Corrected Score Approach for Proportional Hazards Model With Error-Contaminated Covariates Subject to Detection Limits. [PDF]
Song X, Wang CY.
europepmc +1 more source
A comparison of Kaplan-Meier-based inverse probability of censoring weighted regression methods. [PDF]
Overgaard M.
europepmc +1 more source
Utilizing unified progressive hybrid censored data in parametric inference under accelerated life tests. [PDF]
Yousef MM +4 more
europepmc +1 more source
Use of Kaplan-Meier and Cox regressions in the distribution of length of stay in animal shelters for pre-specified calendar periods: Definition, computation, and examples of dog length of stay in orange county California. [PDF]
Mavrovouniotis ML.
europepmc +1 more source
Assessing uncertainty: A study of entropy measures for Burr XII distribution under progressive Type-II censoring. [PDF]
Helu A, Samawi H.
europepmc +1 more source
Survival analysis for predicting fitness app user churn. [PDF]
Zakrzewska M +4 more
europepmc +1 more source
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Regression with Interval-Censored Data
Biometrika, 1995Summary: Interval-censored data result when survival times are not known exactly, but are only known to have occurred between intermittent examination times. Here the accelerated failure time model is treated for interval- censored data. A class of score statistics that may be used for estimation and confidence procedures is proposed.
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