# Biometrika
2002 - 2017
Current editor(s): *A C Davison* From Biometrika Trust Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK. Series data maintained by Oxford University Press (). Access Statistics for this journal.
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**Volume 104, issue 4, 2017**
- Differential network analysis via lasso penalized D-trace loss pp. 755-770
*Huili Yuan*, *Ruibin Xi*, *Chong Chen* and *Minghua Deng*
- Estimating network edge probabilities by neighbourhood smoothing pp. 771-783
*Yuan Zhang*, *Elizaveta Levina* and *Ji Zhu*
- Partition-based ultrahigh-dimensional variable screening pp. 785-800
*Jian Kang*, *Hyokyoung G Hong* and *Yi Li*
- Semiparametric analysis of complex polygenic gene-environment interactions in case-control studies pp. 801-812
*Odile Stalder*, *Alex Asher*, *Liang Liang*, *Raymond J Carroll*, *Yanyuan Ma* and *Nilanjan Chatterjee*
- Distribution-free tests of independence in high dimensions pp. 813-828
*Fang Han*, *Shizhe Chen* and *Han Liu*
- Projection correlation between two random vectors pp. 829-843
*Liping Zhu*, *Kai Xu*, *Runze Li* and *Wei Zhong*
- A $C_p$ criterion for semiparametric causal inference pp. 845-861
*Takamichi Baba*, *Takayuki Kanemori* and *Yoshiyuki Ninomiya*
- Doubly robust nonparametric inference on the average treatment effect pp. 863-880
*D Benkeser*, *M Carone*, *M J Van Der Laan* and *P B Gilbert*
- On two-stage estimation of structural instrumental variable models pp. 881-899
*Byeong Yeob Choi*, *Jason P Fine* and *M Alan Brookhart*
- Principal component analysis and the locus of the Fréchet mean in the space of phylogenetic trees pp. 901-922
*Tom M W Nye*, *Xiaoxian Tang*, *Grady Weyenberg* and *Ruriko Yoshida*
- Median bias reduction of maximum likelihood estimates pp. 923-938
*E C Kenne Pagui*, *A Salvan* and *N Sartori*
- Bayesian local extremum splines pp. 939-952
*M W Wheeler*, *D B Dunson* and *A H Herring*
- Blocking strategies and stability of particle Gibbs samplers pp. 953-969
*S S Singh*, *F Lindsten* and *E Moulines*
- Robust rank estimation for transformation models with random effects pp. 971-986
*Yuanyuan Lin*, *Yang Luo*, *Shangyu Xie* and *Kani Chen*
- Dependent generalized functional linear models pp. 987-994
*S Jadhav*, *H L Koul* and *Q Lu*
- Contours and dimple for the Gneiting class of space-time correlation functions pp. 995-1001
*F Cuevas*, *E Porcu* and *M Bevilacqua*
- Optimal designs for active controlled dose-finding trials with efficacy-toxicity outcomes pp. 1003-1010
*K Schorning*, *H Dette*, *K Kettelhake*, *W K Wong* and *F Bretz*
**Volume 104, issue 3, 2017**
- Maximum likelihood estimation for semiparametric regression models with multivariate interval-censored data pp. 505-525
*Donglin Zeng*, *Fei Gao* and *D. Y. Lin*
- Maximum empirical likelihood estimation for abundance in a closed population from capture-recapture data pp. 527-543
*Yukun Liu*, *Pengfei Li* and *Jing Qin*
- Optimal Bayes classifiers for functional data and density ratios pp. 545-560
*Xiongtao Dai*, *Hans-Georg Müller* and *Fang Yao*
- Multiple robustness in factorized likelihood models pp. 561-581
*J. Molina*, *A. Rotnitzky*, *M. Sued* and *J. M. Robins*
- Joint sufficient dimension reduction and estimation of conditional and average treatment effects pp. 583-596
*Ming-Yueh Huang* and *Kwun Chuen Gary Chan*
- Identification and estimation of causal effects with outcomes truncated by death pp. 597-612
*Linbo Wang*, *Xiao-Hua Zhou* and *Thomas S. Richardson*
- Uncertainty quantification under group sparsity pp. 613-632
*Qing Zhou* and *Seunghyun Min*
- Robust reduced-rank regression pp. 633-647
*Y. She* and *K. Chen*
- Expandable factor analysis pp. 649-663
*Sanvesh Srivastava*, *Barbara E. Engelhardt* and *David B. Dunson*
- Simple, scalable and accurate posterior interval estimation pp. 665-680
*Cheng Li*, *Sanvesh Srivastava* and *David B. Dunson*
- On the Pitman–Yor process with spike and slab base measure pp. 681-697
*A. Canale*, *A. Lijoi*, *B. Nipoti* and *I. Prünster*
- Non-strange weird resampling for complex survival data pp. 699-711
*D. Dobler*, *J. Beyersmann* and *M. Pauly*
- Interleaved lattice-based minimax distance designs pp. 713-725
*Xu He*
- Pseudo-marginal Metropolis–Hastings sampling using averages of unbiased estimators pp. 727-734
*Chris Sherlock*, *Alexandre H. Thiery* and *Anthony Lee*
- Conditional moment models with data missing at random pp. 735-742
*M. Hristache* and *V. Patilea*
- Weighted envelope estimation to handle variability in model selection pp. 743-749
*D. J. Eck* and *R. D. Cook*
- Improving the accuracy of likelihood-based inference in meta-analysis and meta-regression pp. 751-751
*I. Kosmidis*, *A. Guolo* and *C. Varin*
**Volume 104, issue 2, 2017**
- Data integration with high dimensionality pp. 251-272
*Xin Gao* and *Raymond J. Carroll*
- Automatic tagging with existing and novel tags pp. 273-290
*Junhui Wang*, *Xiaotong Shen*, *Yiwen Sun* and *Annie Qu*
- Instrumental variables as bias amplifiers with general outcome and confounding pp. 291-302
*P. Ding*, *T.J. Vanderweele* and *J. M. Robins*
- An improved and explicit surrogate variable analysis procedure by coefficient adjustment pp. 303-316
*Seunggeun Lee*, *Wei Sun*, *Fred A. Wright* and *Fei Zou*
- Ignorability for general longitudinal data pp. 317-326
*D. M. Farewell*, *C. Huang* and *V. Didelez*
- Bayesian nonparametric analysis of longitudinal studies in the presence of informative missingness pp. 327-341
*A. R. Linero*
- Bayesian block-diagonal variable selection and model averaging pp. 343-359
*O. Papaspiliopoulos* and *D. Rossell*
- Covariate-assisted spectral clustering pp. 361-377
*N. Binkiewicz*, *J. T. Vogelstein* and *K. Rohe*
- Sparse Gaussian graphical model estimation via alternating minimization pp. 379-395
*Onkar Dalal* and *Bala Rajaratnam*
- On the number of common factors with high-frequency data pp. 397-410
*Xin-Bing Kong*
- Projection-based outlier detection in functional data pp. 411-423
*Haojie Ren*, *Nan Chen* and *Changliang Zou*
- Testing separability of space-time functional processes pp. 425-437
*P. Constantinou*, *P. Kokoszka* and *M. Reimherr*
- Multiply robust imputation procedures for the treatment of item nonresponse in surveys pp. 439-453
*Sixia Chen* and *David Haziza*
- Construction of maximin distance Latin squares and related Latin hypercube designs pp. 455-464
*Qian Xiao* and *Hongquan Xu*
- A general rotation method for orthogonal Latin hypercubes pp. 465-472
*Fasheng Sun* and *Boxin Tang*
- Bias-corrected score decomposition for generalized quantiles pp. 473-480
*W. Ehm* and *E. Y. Ovcharov*
- Nonlinear shrinkage estimation of large integrated covariance matrices pp. 481-488
*Clifford Lam*, *Phoenix Feng* and *Charlie Hu*
- Improving the accuracy of likelihood-based inference in meta-analysis and meta-regression pp. 489-496
*I. Kosmidis*, *A. Guolo* and *C. Varin*
- Assigning a value to a power likelihood in a general Bayesian model pp. 497-503
*C. C. Holmes* and *S. G. Walker*
**Volume 104, issue 1, 2017**
- Should annual maximum temperatures follow a generalized extreme value distribution? pp. 1-16
*M. L. Stein*
- Erratum: On falsification of the binary instrumental variable model pp. e1-e1
*Linbo Wang*, *James M. Robins* and *Thomas S. Richardson*
- Erratum: Testing for high-dimensional white noise using maximum cross-correlations pp. e2-e2
*Jinyuan Chang*, *Qiwei Yao* and *Wen Zhou*
- Case-cohort studies with interval-censored failure time data pp. 17-29
*Q. Zhou*, *H. Zhou* and *J. Cai*
- Inference in a survival cure model with mismeasured covariates using a simulation-extrapolation approach pp. 31-50
*Aurelie Bertrand*, *Catherine Legrand*, *Raymond J. Carroll*, *Christophe de Meester* and *Ingrid Van Keilegom*
- On estimating regression-based causal effects using sufficient dimension reduction pp. 51-65
*Wei Luo*, *Yeying Zhu* and *Debashis Ghosh*
- Principal weighted support vector machines for sufficient dimension reduction in binary classification pp. 67-81
*Seung Jun Shin*, *Yichao Wu*, *Hao Helen Zhang* and *Yufeng Liu*
- Regression modelling on stratified data with the lasso pp. 83-96
*E. Ollier* and *V. Viallon*
- Selective factor extraction in high dimensions pp. 97-110
*Yiyuan She*
- Testing for high-dimensional white noise using maximum cross-correlations pp. 111-127
*Jinyuan Chang*, *Qiwei Yao* and *Wen Zhou*
- Generalized R-squared for detecting dependence pp. 129-139
*X. Wang*, *B. Jiang* and *J. S. Liu*
- Density estimation in the two-sample problem with likelihood ratio ordering pp. 141-152
*Tao Yu*, *Pengfei Li* and *Jing Qin*
- On asymptotic validity of naive inference with an approximate likelihood pp. 153-164
*H. E. Ogden*
- On pseudolikelihood inference for semiparametric models with boundary problems pp. 165-179
*Y. Chen*, *J. Ning*, *Y. Ning*, *K.-Y. Liang* and *K. Bandeen-Roche*
- Roy’s largest root test under rank-one alternatives pp. 181-193
*I. M. Johnstone* and *B. Nadler*
- Design-based asymptotics for two-phase sampling strategies in environmental surveys pp. 195-205
*L. Fattorini*, *M. Marcheselli*, *C. Pisani* and *L. Pratelli*
- Itemwise conditionally independent nonresponse modelling for incomplete multivariate data pp. 207-220
*Mauricio Sadinle* and *Jerome P. Reiter*
- A note on multiple imputation under complex sampling pp. 221-228
*J. K. Kim* and *S. Yang*
- On falsification of the binary instrumental variable model pp. 229-236
*Linbo Wang*, *James M. Robins* and *Thomas S. Richardson*
- Modelling structured correlation matrices pp. 237-242
*Ruey S. Tsay* and *Mohsen Pourahmadi*
- Modified marginal expected shortfall under asymptotic dependence pp. 243-249
*J.-J. Cai*, *V. Chavez-Demoulin* and *A. Guillou*
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