Time-to-event analysis

Early childhood factors and health pathways to disability and death in mid-ages — a multi-state time-to-event model
Developmental programming literature in microbiology emphasizes that much of the process of health development throughout life is …
Lakshmi K Raut
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Early childhood factors and health pathways to disability and death in mid-ages — a multi-state time-to-event model
Deep Neural Network Machine Learning Models for Prediction of Risks of Various Diseases in Mid-Ages
Prediction of risks of various diseases and identification of factors that influence these risks are important for public policies and …
Lakshmi K Raut
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Deep Neural Network Machine Learning Models for Prediction of Risks of Various Diseases in Mid-Ages
Machine learning imputation of race in statistical estimates of disability and mortality risks using Social Security administrative data
Data on race and ethnicity at the individual level is much needed to measure racial differences in social outcomes. Legally observable …
Lakshmi K Raut
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Machine learning imputation of race in statistical estimates of disability and mortality risks using Social Security administrative data
Pathways to Disability and Death in Middle Ages: Estimates from the Health and Retirement Study Data
I review the microbiology literature on aging, finding that much of the process of health development over the lifespan is determined …
Lakshmi K Raut
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Pathways to Disability and Death in Middle Ages: Estimates from the Health and Retirement Study Data
Early childhood factors and health and Human capital
In this paper I survey the microbiology, psychology and Economics literatures on human development, focusing on the role of early …
Lakshmi K Raut
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Health Outcomes in Mid-Ages: Multistate time to event Statistical Models versus Long Short Term Memory (LSTM) Recurrent Neural Network (RNN) Models
Health outcomes such as serious diseases, disability and death develop sequentially over one’s life span. Genetic and epigenetic …
Lakshmi K Raut
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Health Outcomes in Mid-Ages: Multistate time to event Statistical Models versus Long Short Term Memory (LSTM) Recurrent Neural Network (RNN) Models
Health Outcomes in Mid-Ages: Multistate Time to Event Statistical Models Versus Long Short Term Memory (LSTM) Recurrent Neural Network (RNN) Models
Health outcomes such as serious diseases and death develop sequentially over one’s life span. Genetic and epigenetic factors, and …
Jan 4, 2020
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Health Outcomes in Mid-Ages: Multistate Time to Event Statistical Models Versus Long Short Term Memory (LSTM) Recurrent Neural Network (RNN) Models
Pathways to disability and mortality in mid-ages: Estimates from the Health and Retirement Study Data
The paper studies determinants of enrollment onto the Social Security’s DI (Disability Insurance) and SSI (Supplemental Security …
Apr 5, 2019
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Pathways to disability and mortality in mid-ages: Estimates from the Health and Retirement Study Data
A duration analysis of fertility behavior of malaysian women: partial likelihood and nonparametric maximum likelihood estimates
In this paper, we estimate a multi-spell duration model of timing of marriage and timing and spacing of children by the Malaysian …
Lakshmi K Raut
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Pathways to Disability and Death Before Disability in middle ages: Estimates from the Health and Retirement Study Data
This paper studies factors that affect enrollment onto a public insurance program such as the Social Security’s DI (Disability …
Lakshmi K Raut
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Pathways to Disability and Death Before Disability in middle ages: Estimates from the Health and Retirement Study Data