Browsing Statistics and Actuarial Science by Author "Lawless, Jerald"
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Armitage Lecture 2011: The Design and Analysis of Life History Studies
Lawless, Jerald F. (Wiley, 2013)Life history studies collect information on events and other outcomes during people’s lifetimes. For example, these may be related to childhood development, education, fertility, health, or employment. Such longitudinal ... -
Estimation and Assessment of Markov Multistate Models with Intermittent Observations on Individuals
Lawless, Jerald F. (Springer, 2015-04)Multistate models provide important methods of analysis for many life history processes, and this is an area where John Klein made numerous contributions. When individuals in a study group are observed continuously so ... -
Estimation of Finite Population Duration Distributions from Longitudinal Survey Panels with Intermittent Followup
Lawless, Jerald F. (Springer, 2013)We consider survival or duration times associated with spells (sojourns in some state) or events experienced by individuals in a population over a specified time period. Duration distributions can be estimated from data ... -
Failure time studies with intermittent observation and losses to follow-up
Cook, Richard J.; Lawless, Jerald F. (Wiley, 2020-12-01)In health research interest often lies in modeling a failure time process but in many cohort studies failure status is only determined at scheduled assessment times. While the assessment times may be fixed upon study entry, ... -
Independence conditions and the analysis of life history studies with intermittent observation
Cook, Richard; Lawless, Jerald (Oxford University Press, 2021-07)Multistate models provide a powerful framework for the analysis of life history processes when the goal is to characterize transition intensities, transition probabilities, state occupancy probabilities, and covariate ... -
A new perspective on loss to follow-up in failure time and life history studies
Lawless, Jerald F.; Cook, Richard J. (Wiley, 2019-07-24)A framework is proposed for the joint modeling of life history and loss to follow-up (LTF) processes in cohort studies. This framework provides a basis for discussing independence conditions for LTF and censoring and ... -
Robust and Powerful Tests for Rare Variants Using Fishers Method to Combine Evidence of Association From Two or More Complementary Tests
Lawless, Jerald F. (Wiley, 2012)Many association tests have been proposed for rare variants, but the choice of a powerful test is uncertain when there is limited information on the underlying genetic model. Proposed methods use either linear statistics, ... -
Robust Estimation of Mean Functions and Treatment Effects for Recurrent Events Under Event-Dependent Censoring and Termination: Application to Skeletal Complications in Cancer Metastatic to Bone
Cook, Richard J.; Lakhal-Chaieb, Lajmi; Lee, Ker-Ai; Lawless, Jerald F. (Taylor & Francis, 2009)In clinical trials featuring recurrent clinical events, the definition and estimation of treatment effects involves a number of interesting issues, especially when loss to follow-up may be eventrelated and when terminal ... -
Score Tests for Association Under Response-dependent Sampling Designs for Expensive Covariates
Lawless, Jerald F. (Oxford Journals, 2015-11-27)Response-dependent sampling is widely used in settings where certain variables are expensive to obtain. Estimation has been thoroughly investigated but recent applications have emphasized tests of association for expensive ... -
Statistical Issues in Modeling Chronic Disease in Cohort Studies
Cook, Richard J.; Lawless, Jerald F. (Springer, 2014)Observational cohort studies of individuals with chronic disease provide information on rates of disease progression, the effect of fixed and time-varying risk factors, and the extent of heterogeneity in the course of ...