Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/92373/1/1541-0420.00004.pd
Survival analysis is an important branch of statistics that deals with time to event data or surviva...
We propose a general class of semiparametric transformation models with random effects to formulate ...
Frailty models are frequently used to analyse clustered survival data in medical contexts. The frail...
Summary. In the analysis of clustered categorical data, it is of common interest to test for the cor...
In the analysis of clustered data with covariates measured with error, a problem of common interest ...
SUMMARY. In the analysis of clustered data with covariates measured with error, a problem of common ...
This paper concerns linear models for grouped data with group-specific effects. We construct a portm...
Zero-clustered data occur widely in medical research and are characterised by the presence of a grou...
Cluster randomized trials (CRTs) involve the random assignment of intact social units rather than in...
Consider a follow up study of n clusters where the i-th cluster consists of J members who share a co...
Thesis (Ph.D.)--University of Rochester. School of Medicine & Dentistry. Dept. of Biostatistics and ...
This paper concerns linear models for grouped data with group-specific effects. We construct a test ...
We propose an additive mixed effect model to analyze clustered failure time data. The proposed model...
We propose a new class of models, frailty measurement error models (FMEMs), for clustered survival d...
Thesis (Ph.D.)--University of Washington, 2014In this thesis, I propose new models for clustered dat...
Survival analysis is an important branch of statistics that deals with time to event data or surviva...
We propose a general class of semiparametric transformation models with random effects to formulate ...
Frailty models are frequently used to analyse clustered survival data in medical contexts. The frail...
Summary. In the analysis of clustered categorical data, it is of common interest to test for the cor...
In the analysis of clustered data with covariates measured with error, a problem of common interest ...
SUMMARY. In the analysis of clustered data with covariates measured with error, a problem of common ...
This paper concerns linear models for grouped data with group-specific effects. We construct a portm...
Zero-clustered data occur widely in medical research and are characterised by the presence of a grou...
Cluster randomized trials (CRTs) involve the random assignment of intact social units rather than in...
Consider a follow up study of n clusters where the i-th cluster consists of J members who share a co...
Thesis (Ph.D.)--University of Rochester. School of Medicine & Dentistry. Dept. of Biostatistics and ...
This paper concerns linear models for grouped data with group-specific effects. We construct a test ...
We propose an additive mixed effect model to analyze clustered failure time data. The proposed model...
We propose a new class of models, frailty measurement error models (FMEMs), for clustered survival d...
Thesis (Ph.D.)--University of Washington, 2014In this thesis, I propose new models for clustered dat...
Survival analysis is an important branch of statistics that deals with time to event data or surviva...
We propose a general class of semiparametric transformation models with random effects to formulate ...
Frailty models are frequently used to analyse clustered survival data in medical contexts. The frail...
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