Vol. 58 No. 1 (2024)

Published: 2024-08-14

Editorial

Editorial remarks Vol. 58(1)

Kalyan Das

1
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Articles

Estimating disease prevalence from partially-sampled clusters using the conditional linear family for multivariate Bernoulli data

SUSAN L EDWARDS, JOHN S PREISSER, BAHJAT QAQISH, CRISTIANO SUSIN

3-31
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- Supplimentary
Randomization-based covariance adjustment of win ratios and win odds for randomized multi-visit studies with ordinal outcomes

ANN MARIE K WEIDEMAN, ELAINE K KOWALEWSKI, GARY G KOCH

33-48
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Joint modeling of varying-disease-state longitudinal ordinal data and time-to-event data with application to alzheimer’s disease

XIAOLIN CHANG, MING HUI CHEN

49-73
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Joint models for longitudinal data

LANG WU, SIHAOYU GAO, QIAN YE

75-96
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Modeling informative dropout in longitudinal data: A joint model approach

SRIMANTI DUTTA, PRITHWISH GHOSH, ARINDOM CHAKRABORTY

97-110
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A quantile-regression approach to bivariate longitudinal joint modeling

DAMITRI KUNDU, KIRANMOY DAS

111-130
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Predicting pediatric asthma severe outcomes using machine learning methods for EHR data with repeated clinic visits

JIAQIAN LIU, NA BO, XUEPING ZHOU, ERICK FORNO, YING DING

131-149
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Nonstationary longitudinal autoregressive mixed model for count data with measurement error in covariates: Estimation and asymptotics

ALWELL OYET

151-180
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Diagnostics for one-way random effects panel data models

SIBNARAYAN GURIA, SUGATA SEN ROY

181-196
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Change point detection via Gaussian mixture model

WANGSHU TU, UTKARSH J DANG, SANJEENA SUBEDI

197-219
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Trends in carbon emissions and renewable energy usage

POOJA SENGUPTA, BHASWATI GANGULI, DASAUKI MUSA, BUSAYO T OLANREWAJU, OLUSANYA E OLUBUSOYE

221-242
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Negative binomial integer-valued auto-regressive process for longitudinal count data

NAUSHAD MAMODE KHAN, VANDNA JOWAHEER, YUVRAJ SUNECHER

243-257
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