The International Journal of Biostatistics

2005 - 2024

Current editor(s): Antoine Chambaz, Alan E. Hubbard and Mark J. van der Laan

From De Gruyter
Bibliographic data for series maintained by Peter Golla ().

Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.

Volume 20, issue 2, 2024

Random forests for survival data: which methods work best and under what conditions? pp. 315-345

Berkowitz Matthew, Altman Rachel MacKay and Loughin Thomas M.

Flexible variable selection in the presence of missing data pp. 347-359

Williamson Brian D. and Huang Ying

An interpretable cluster-based logistic regression model, with application to the characterization of response to therapy in severe eosinophilic asthma pp. 361-388

Bilancia Massimo, Nigri Andrea, Cafarelli Barbara and Di Bona Danilo

MBPCA-OS: an exploratory multiblock method for variables of different measurement levels. Application to study the immune response to SARS-CoV-2 infection and vaccination pp. 389-406

Paries Martin, Vigneau Evelyne, Huneau Adeline, Lantz Olivier and Bougeard Stéphanie

Detecting differentially expressed genes from RNA-seq data using fuzzy clustering pp. 407-417

Ando Yuki and Shimokawa Asanao

Hypothesis testing for detecting outlier evaluators pp. 419-431

Xu Li, Zucker David M. and Wang Molin

Response to comments on ‘sensitivity of estimands in clinical trials with imperfect compliance’ pp. 433-433

Chen Heng and Heitjan Daniel F.

Comments on “sensitivity of estimands in clinical trials with imperfect compliance” by Chen and Heitjan pp. 435-436

Baker Stuart G. and Lindeman Karen S.

Optimizing personalized treatments for targeted patient populations across multiple domains pp. 437-453

Chen Yuan, Zeng Donglin and Wang Yuanjia

Statistical models for assessing agreement for quantitative data with heterogeneous random raters and replicate measurements pp. 455-466

Ekstrøm Claus Thorn and Carstensen Bendix

History-restricted marginal structural model and latent class growth analysis of treatment trajectories for a time-dependent outcome pp. 467-490

Diop Awa, Sirois Caroline, Guertin Jason R., Schnitzer Mireille E., Brophy James M., Blais Claudia and Talbot Denis

Revisiting incidence rates comparison under right censorship pp. 491-506

Martínez-Camblor Pablo and Díaz-Coto Susana

Ensemble learning methods of inference for spatially stratified infectious disease systems pp. 507-529

Peitsch Jeffrey, Pokharel Gyanendra and Hossain Shakhawat

The survival function NPMLE for combined right-censored and length-biased right-censored failure time data: properties and applications pp. 531-551

McVittie James H., Wolfson David B. and Stephens David A.

Hybrid classical-Bayesian approach to sample size determination for two-arm superiority clinical trials pp. 553-570

Sambucini Valeria

Estimation of a decreasing mean residual life based on ranked set sampling with an application to survival analysis pp. 571-583

Zamanzade Elham, Zamanzade Ehsan and Parvardeh Afshin

Improving the mixed model for repeated measures to robustly increase precision in randomized trials pp. 585-598

Wang Bingkai and Du Yu

Bayesian second-order sensitivity of longitudinal inferences to non-ignorability: an application to antidepressant clinical trial data pp. 599-629

Momeni Roochi Elahe and Eftekhari Mahabadi Samaneh

A modified rule of three for the one-sided binomial confidence interval pp. 631-639

Turpin Lonnie, Patin Jeanne-Claire, Jens William and Turpin Morgan

Kalman filter with impulse noised outliers: a robust sequential algorithm to filter data with a large number of outliers pp. 641-660

Cloez Bertrand, Fontez Bénédicte, González-García Eliel and Sanchez Isabelle

Bayesian estimation and prediction for network meta-analysis with contrast-based approach pp. 661-676

Noma Hisashi

Testing for association between ordinal traits and genetic variants in pedigree-structured samples by collapsing and kernel methods pp. 677-690

Chien Li-Chu

Volume 20, issue 1, 2024

Survival analysis using deep learning with medical imaging pp. 1-12

Morrison Samantha, Gatsonis Constantine, Eloyan Ani and Steingrimsson Jon Arni

Using a population-based Kalman estimator to model the COVID-19 epidemic in France: estimating associations between disease transmission and non-pharmaceutical interventions pp. 13-41

Collin Annabelle, Hejblum Boris P., Vignals Carole, Lehot Laurent, Thiébaut Rodolphe, Moireau Philippe and Prague Mélanie

Approximate reciprocal relationship between two cause-specific hazard ratios in COVID-19 data with mutually exclusive events pp. 43-56

Li Wentian, Cetin Sirin, Ulgen Ayse, Cetin Meryem, Sivgin Hakan and Yang Yaning

Sensitivity of estimands in clinical trials with imperfect compliance pp. 57-67

Chen Heng and Heitjan Daniel F.

Highly robust causal semiparametric U-statistic with applications in biomedical studies pp. 69-91

Yin Anqi, Yuan Ao and Tan Ming T.

Hierarchical Bayesian bootstrap for heterogeneous treatment effect estimation pp. 93-106

Oganisian Arman, Mitra Nandita and Roy Jason A.

Penalized logistic regression with prior information for microarray gene expression classification pp. 107-122

Genç Murat

Bayesian learners in gradient boosting for linear mixed models pp. 123-141

Zhang Boyao, Griesbach Colin and Bergherr Elisabeth

Unequal allocation of sample/event sizes with considerations of sampling cost for testing equality, non-inferiority/superiority, and equivalence of two Poisson rates pp. 143-156

Luh Wei-Ming and Guo Jiin-Huarng

HiPerMAb: a tool for judging the potential of small sample size biomarker pilot studies pp. 157-167

Al-Mekhlafi Amani and Klawonn Frank

Heterogeneity in meta-analysis: a comprehensive overview pp. 169-199

Stogiannis Dimitris, Siannis Fotios and Androulakis Emmanouil

On stochastic dynamic modeling of incidence data pp. 201-215

Kalligeris Emmanouil-Nektarios, Karagrigoriou Alex and Parpoula Christina

Power of testing for exposure effects under incomplete mediation pp. 217-228

Zhou Ruixuan R., Zucker David M. and Zhao Sihai D.

Exact correction factor for estimating the OR in the presence of sparse data with a zero cell in 2 × 2 tables pp. 229-243

Babu Malavika, Mani Thenmozhi, Sappani Marimuthu, George Sebastian, Bangdiwala Shrikant I. and Jeyaseelan Lakshmanan

Right-censored partially linear regression model with error in variables: application with carotid endarterectomy dataset pp. 245-278

Aydın Dursun, Yılmaz Ersin, Chamidah Nur and Lestari Budi

Assessing HIV-infected patient retention in a program of differentiated care in sub-Saharan Africa: a G-estimation approach pp. 279-291

Yiannoutsos Constantin T., Wools-Kaloustian Kara, Musick Beverly S., Kosgei Rose, Kimaiyo Sylvester and Siika Abraham

Prediction-based variable selection for component-wise gradient boosting pp. 293-314

Potts Sophie, Bergherr Elisabeth, Reinke Constantin and Griesbach Colin

Volume 19, issue 2, 2023

Statistics, philosophy, and health: the SMAC 2021 webconference pp. 261-270

Savy Nicolas, Moodie Erica Em, Drouet Isabelle, Chambaz Antoine, Falissard Bruno, Kosorok Michael R., Krakow Elizabeth F., Mayo Deborah G., Senn Stephen and Mark Van der Laan

Show me the DAG! pp. 271-272

Krakow Elizabeth F.

Causal inference for oncology: past developments and current challenges pp. 273-281

Moodie Erica E. M.

The EBM+ movement pp. 283-293

Wilde Michael

Bayesianism from a philosophical perspective and its application to medicine pp. 295-307

Williamson Jon

Bayesian inference for optimal dynamic treatment regimes in practice pp. 309-331

Rodriguez Duque Daniel, Moodie Erica E. M. and Stephens David A.

Agent-based modeling in medical research, virtual baseline generator and change in patients’ profile issue pp. 333-349

Saint-Pierre Philippe and Savy Nicolas

Agent based modeling in health care economics: examples in the field of thyroid cancer pp. 351-368

Demeulemeester Romain, Savy Nicolas, Grosclaude Pascale, Costa Nadège and Saint-Pierre Philippe

A copula-based set-variant association test for bivariate continuous, binary or mixed phenotypes pp. 369-387

St-Pierre Julien and Oualkacha Karim

Detection of atypical response trajectories in biomedical longitudinal databases pp. 389-415

Pantazis Lucio José and García Rafael Antonio

Potential application of elastic nets for shared polygenicity detection with adapted threshold selection pp. 417-438

John Majnu and Lencz Todd

Error analysis of the PacBio sequencing CCS reads pp. 439-453

Pourmohammadi Reza, Abouei Jamshid and Anpalagan Alagan

A SIMEX approach for meta-analysis of diagnostic accuracy studies with attention to ROC curves pp. 455-471

Guolo Annamaria and Pesantez Cabrera Tania Erika

Statistical modelling of COVID-19 and drug data via an INAR(1) process with a recent thinning operator and cosine Poisson innovations pp. 473-488

Mohammadi Zohreh, Bakouch Hassan S. and Sharafi Maryam

The balanced discrete triplet Lindley model and its INAR(1) extension: properties and COVID-19 applications pp. 489-516

Shirozhan Masoumeh, Mamode Khan Naushad A. and Kokonendji Célestin C.

Volume 19, issue 1, 2023

Two-sample t α -test for testing hypotheses in small-sample experiments pp. 1-19

Tan Yuan- De

Estimating risk and rate ratio in rare events meta-analysis with the Mantel–Haenszel estimator and assessing heterogeneity pp. 21-38

Böhning Dankmar, Sangnawakij Patarawan and Holling Heinz

Estimating population-averaged hazard ratios in the presence of unmeasured confounding pp. 39-52

Martínez-Camblor Pablo, MacKenzie Todd A. and O’Malley A. James

Comments on ‘A weighting analogue to pair matching in propensity score analysis’ by L. Li and T. Greene pp. 53-60

Orihara Shunichiro, Kawamura Taishi and Taguri Masataka

Variable selection for bivariate interval-censored failure time data under linear transformation models pp. 61-79

Liu Rong, Du Mingyue and Sun Jianguo

A quantile regression estimator for interval-censored data pp. 81-96

Frumento Paolo

Modeling sign concordance of quantile regression residuals with multiple outcomes pp. 97-110

Columbu Silvia, Frumento Paolo and Bottai Matteo

Robust statistical boosting with quantile-based adaptive loss functions pp. 111-129

Speller Jan, Staerk Christian and Mayr Andreas

A varying-coefficient partially linear transformation model for length-biased data with an application to HIV vaccine studies pp. 131-162

Wan Alan T. K., Zhao Wei, Gilbert Peter and Zhou Yong

Application of the patient-reported outcomes continual reassessment method to a phase I study of radiotherapy in endometrial cancer pp. 163-176

Wages Nolan A., Nelson Bailey, Kharofa Jordan and Meier Teresa

Borrowing historical information for non-inferiority trials on Covid-19 vaccines pp. 177-189

Fulvio De Santis and Gubbiotti Stefania

Multivariate small area modelling of undernutrition prevalence among under-five children in Bangladesh pp. 191-215

Guha Saurav, Das Sumonkanti, Baffour Bernard and Chandra Hukum

The optimal dynamic treatment rule superlearner: considerations, performance, and application to criminal justice interventions pp. 217-238

Montoya Lina M., J. van der Laan Mark, Luedtke Alexander R., Skeem Jennifer L., Coyle Jeremy R. and Petersen Maya L.

Estimators for the value of the optimal dynamic treatment rule with application to criminal justice interventions pp. 239-259

Montoya Lina M., J. van der Laan Mark, Skeem Jennifer L. and Petersen Maya L.

Efficient estimation of pathwise differentiable target parameters with the undersmoothed highly adaptive lasso pp. 261-289

J. van der Laan Mark, Benkeser David and Cai Weixin