Glidden, Dave - Department of Epidemiology and Biostatistics, University of California at San Francisco

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Glidden, Dave - Department of Epidemiology and Biostatistics, University of California at San Francisco

Multiple markers from affected siblings indicate a region is linked to a disease gene. How to estimate the location of the putative disease locus? Can covariate information improve
Semiparametric likelihood estimation in the Clayton-Oakes failure time model
Frailty Model Diagnostics for Bivariate Failure Time Data Dave Glidden, UCSF
Program Director/Principal Investigator (Last, First, Middle): PHS 398/2590 (Rev. 11/07) Page Biographical Sketch Format Page
Pairwise Dependence Diagnostics for Clustered Failure Time Data Dave Glidden
Biometrika (2007), pp. 115 doi:10.1093/biomet/asm024 2007 Biometrika Trust
Lifetime Data Analysis, 6, 141156 (2000) c 2000 Kluwer Academic Publishers. Printed in The Netherlands.
Estimating Gene Position from Genetic Linkage Studies: Use of Covariates Dave Glidden
STATISTICS IN MEDICINE Statist. Med. 2004; 23:369388 (DOI: 10.1002/sim.1599)
* Correspondence to: L. J. Wei. CCC 0277--6715/97/080833--07$17.50
Estimating the effects of the BRCA mutation
General Dependence Diagnostics for Multivariate Failure Time Data
Some Thoughts on Longitudinal Data*
General copula-checking strategies for bivariate failures
Models for Repeated Events Data
Robust Inference for Event Probabilities with non-Markov Event Data Dave Glidden, UCSF
Division of Biostatistics, UCSF 1 Rank Estimation of Treatment Differences Based on
Robust inference for event probabilities with non-Markov BY DAVID V. GLIDDEN
Issues in Survival Analysis in Genetics
Pharmacoepidemiology: with special attention to immortal time bias
Competing Risks: Application to
Multipoint Mapping for Complex Diseases Issues and Applications to Age at Onset
Rank Estimation of Treatment Differences Based on Repeated Measurements Subject to Dependent Censoring