-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathpublications.Rmd
140 lines (67 loc) · 17.1 KB
/
publications.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
---
title: '**Selected Publications**'
---
The list below contains biostatistics papers and those for which I was a lead author. A complete list of publications can be seen in my [CV](https://alexmclain.github.io/jekyll-example/McLainCV.pdf).
<hr>
$^s$Student Author. $^c$Corresponding Author. $^\ast$Dual first-authors. $^\divideontimes$Senior Author.
## In Progress
- **McLain**$^c$, AC, A Zgodic$^s$, H Bondell. [Sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm](https://arxiv.org/abs/2209.08139). Revision submitted to *Computational Statistics and Data Analysis*. Link to [**probe** R package](https://github.com/alexmclain/probe).
- Zgodic$^s$, A, R Bai, J Zhang, and **AC McLain**$^{\divideontimes c}$. [Sparse high-dimensional linear mixed modeling with a partitioned empirical Bayes ECM algorithm](https://arxiv.org/abs/2310.12285). In revision for *Statistics and Computing*. Link to [**lmmprobe** R package](https://github.com/anjazgodic/lmmprobe).
- 2023 ENAR Distinguished Student Paper Award Winner.
- Zgodic$^s$, A, R Bai, J Zhang, Y Wang, and **AC McLain**$^{\divideontimes c}$. [Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression](https://arxiv.org/abs/2309.08783). Submitted to *International Journal of Biostatistics*.
- Chen$^s$, S, J Zhang, J Zhou, **AC McLain**, and J Hardin. Semiparametric Estimations Methods for the Generalized Odds Rate Cure Model with Background Mortality with an application to Breast Cancer. Revision submitted to *Statistical Methods in Medical Research*.
- Vidanapathirana$^s$, N, Y Wang, **AC McLain**, and S Self. Cluster Detection Capabilities of the Average Nearest Neighbor Ratio and Ripley's K Function on Areal Data: an Empirical Assessment. Submitted to *Spatial Statistics*.
## Published
<ol >
<li> Olejua$^s$ P, **AC McLain**$^{\divideontimes c}$, N Inak, M Dowda, and RR Pate (2025+). [Clustering patterns of 24-hour physical activity in children 6 to 36 months old](https://doi.org/10.1123/pes.2023-0055). *Pediatric Exercise Science,* (available online).
<li> Huang$^s$, R, C McMahan, B Herrin, **AC McLain**, B Cai and S Self (2025). [Gradient Boosting: A Computationally Efficient Alternative to Markov Chain Monte Carlo Sampling for Fitting Large Bayesian Spatio-Temporal Binomial Regression Models](https://www.sciencedirect.com/science/article/pii/S2468042724001131?via%3Dihub). *Infectious Disease Modeling,* 10:1, 189--200.
<li> Guo$^s$ S, J Zhang, **AC McLain**$^{\divideontimes c}$ (2024). [Joint modeling of survival and backwards recurrence outcomes: an analysis of factors associated with fertility treatment](https://doi.org/10.1093/jrsssc/qlae039). *Journal of the Royal Statistical Society: Series C,* 73:5, 1355-1369.
<li> Zhang$^s$ S, **AC McLain**$^{\divideontimes c}$, J Habiger, C Rorden, and J Fridriksson (2024). [False Discovery Rate Control for Lesion Symptom Mapping with Heterogeneous data via Weighted P-values](https://doi.org/10.1002/bimj.20230019). *Biometrical Journal,* 66:6, e202300198. [Link to R code](https://github.com/alexmclain/WABH_Analysis).
<li> Bradshaw J, JM Eberth, A Zgodic, A Federico, K Flory, **AC McLain**$^{\divideontimes c}$ (2024). [County-Level Prevalence Estimates of Autism Spectrum Disorder in Children in the United States](https://link.springer.com/article/10.1007/s10803-023-05920-z). *Journal of Autism and Developmental Disorders* 54, 2710--2718.
<li> Guo$^s$, S, Y Wu, **AC McLain**, JW Hardin, B Olatosi, X Li, and J Zhang (2024). [Functional multi-variable logistic regression with an application to HIV viral suppression prediction.](https://doi.org/10.1002/bimj.202300081) *Biometrical Journal* 66:5, e202300081.
<li> Self S, X Zhao$^s$, A Zgodic$^s$, A Overby, D White, **AC McLain**$^{\divideontimes}$, and C Dyckman (2024). [A Hypothesis Test for Detecting Spatial Patterns in Categorical Areal Data](https://doi.org/10.1016/j.spasta.2024.100839). *Spatial Statistics,* 61, 100839.
<li> Huang$^s$, R, **AC McLain**, B Herrin, M Nolan, B Cai and S Self (2024). [Bayesian Group Testing Regression Models for Spatial Data](https://www.sciencedirect.com/science/article/pii/S1877584524000443?dgcid=coauthor).*Spatio and Spatio-Temporal Epidemiology,* 50, 100677.
<li> Self S, A Overby, A Zgodic$^s$, D White, **AC McLain**$^{\divideontimes}$, and C Dyckman (2023). [A hypothesis test for detecting distance-specific clustering and dispersion in areal data](https://www.sciencedirect.com/science/article/pii/S2211675323000325?dgcid=coauthor). *Spatial Statistics* 55, 100757.
<li> Zgodic$^{s c}$ A, **AC McLain**$^{\divideontimes}$, JM Eberth, A Federico, J Bradshaw, K Flory (2023). [County-Level Prevalence Estimates of ADHD in Children in the United States](https://www.sciencedirect.com/science/article/pii/S1047279723000066). *Annals of Epidemiology* 79, 56--64.
<li> Hong$^s$, Y, JM Eberth, B Cai, and **AC McLain**$^{\divideontimes c}$ (2022). [Estimating confidence intervals for spatial hierarchical mixed-effects models with post-stratification](https://www.sciencedirect.com/science/article/abs/pii/S2211675322000434). *Spatial Statistics* 51, 100670.
- [Editorial](https://doi.org/10.1093/jn/nxac092) published by the *Journal of Nutrition* and [blog post](https://nutrition.org/utilization-of-sparse-longitudinal-data-to-estimate-childhood-stunting-and-overweight-trends/) by the *American Society for Nutrition*, discussing the results.
<li> Saraswati$^s$, CM, E Borghi, JJ Rodrigues da Silva Breda, CM Flores-Urrutia, J Williams, C Hayashi, EA Frongillo, and **AC McLain**$^{\divideontimes}$ (2022). [Estimating childhood stunting and overweight trends in the European region from sparse longitudinal data](https://doi.org/10.1093/jn/nxac072). *Journal of Nutrition* 150:7, 1773--1782.
<li> Hess$^\ast$, SY, **AC McLain**$^\ast$, H Lescinsky, KH Brown A Afshin, R Atkin, and SJM Osendarp (2022). [Basis for changes for global burden of disease estimates related to vitamin A and zinc deficiency in the GBD 2017 and 2019 Studies](https://www.cambridge.org/core/journals/public-health-nutrition/article/abs/basis-for-changes-in-the-global-burden-of-disease-estimates-related-to-vitamin-a-and-zinc-deficiencies-in-the-gbd-2017-and-2019-studies/0D3C57D1EF044BA7A1857E7D789F0134). *Public Health Nutrition* 25:8, 2225--2231.
<li> Luo$^s$, X, G Cai, **AC McLain**, C I Amos, B Cai, and F Xiao (2022) [BMI-CNV: a Bayesian framework for multiple genotyping platforms detection of copy number variation](https://academic.oup.com/genetics/advance-article/doi/10.1093/genetics/iyac147/6726187). *Genetics* 222:4, iyac147.
<li> Self, SCW, R Huang, S Amin, J Ewing, C Rudisill, and **AC McLain**$^{\divideontimes}$ (2022). [A Bayesian Susceptible-Infectious-Hospitalized-Ventilated-Recovered Model to Predict Demand for COVID-19 Inpatient Care in a Large Healthcare System](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0260595). *PLoS One* 17:12, e0260595.
<li> **McLain$^ c$, AC**, S Guo, ME Thoma, and J Zhang (2021). [Length-biased semicompeting risks models for cross-sectional data: An application to current duration of pregnancy attempt data](https://projecteuclid.org/journals/annals-of-applied-statistics/volume-15/issue-2/Length-biased-semicompeting-risks-models-for-cross-sectional-data/10.1214/20-AOAS1428.full). *Annals of Applied Statistics* 15:2, 1054--1067. [Link to code](https://github.com/alexmclain/CDSCR).
<li> Zgodic$^s$, A, J Eberth, C Brennen, ME Wende, EW Stowe, AT Kaczynski, AD Liese and **AC McLain**$^{\divideontimes c}$ (2021). [Estimates of Childhood Overweight and Obesity at the Region, State, and County Levels: A Multilevel Small Area Estimation Approach](https://academic.oup.com/aje/advance-article/doi/10.1093/aje/kwab176/6300228). *American Journal of Epidemiology* 190:12, 2618--2629.
<li> Hess$^\ast$, SY, **AC McLain**$^\ast$, EA Frongillo, A Afshin, NJ Kassebaum, SJM Osendarp, R Atkin, R Rawat, and KH Brown (2021). [Challenges for estimating the global prevalence of micronutrient deficiencies and related disease burden: A case study of the Global Burden of Disease Study](https://doi.org/10.1093/cdn/nzab141). *Current Developments in Nutrition* 5:12, nzab141.
<li> Zhou$^s$, J, J Zhang, **AC McLain**, W Lu, X Sui, and JW Hardin (2020). [Semiparametric Regression of the Illness-Death Model with Interval Censored Disease Incidence Time: an Application to the ACLS Data](https://journals.sagepub.com/doi/full/10.1177/0962280220939123). *Statistical Methods in Medical Research* 29:12, 3707-3720.
<li> **McLain$^{ c}$ AC**, EA Frongillo, E Borghi, and J Feng (2019). [Prediction intervals for heterogeneous penalized longitudinal models with multi-source summary measures: an application to estimating child malnutrition rates](https://onlinelibrary.wiley.com/doi/10.1002/sim.8024). *Statistics in Medicine* 38:1, 1002--1012. [Link to R code](https://github.com/alexmclain/PHMM).
<li> **McLain, AC**, EA Frongillo, SY Hess, E Piwoz (2019). [Comparison of methods used to estimate the global burden of disease related to undernutrition and suboptimal breastfeeding](https://www.sciencedirect.com/science/article/pii/S2161831322006998). *Advances in Nutrition* 10:3, 380--390.
<li> Zhang$^s$ Y, **AC McLain**$^ c$, B Davis, S McDermott (2019). [Fecundity and infertility among women with disability in the United States](https://www.liebertpub.com/doi/abs/10.1089/jwh.2018.7267). *Journal of Women's Health* 28:7, 934--940.
<li> Zhou$^s$, J, **AC McLain**, W Lu, X Sui, JW Hardin, and J Zhang (2019). [A Varying-Coefficient Generalized Odds Rate Model with Time-Varying Exposure: An Application to Fitness and CVD Mortality](https://onlinelibrary.wiley.com/doi/10.1111/biom.13057). *Biometrics* 75:3, 853--863.
<li> Eberth$^\ast$ JM, **AC McLain**$^\ast$, Y Hong$^s$, E Sercy, A Diedhiou, D J Kilpatrick (2018). [Estimating county-level tobacco use and exposure in South Carolina: a spatial model-based small area estimation approach](https://europepmc.org/abstract/med/29685650). *Annals of Epidemiology* 28:7, 481--488.e4.
<li> Geraci, M, and **AC McLain** (2018). [Multiple imputation for bounded variables](https://link.springer.com/article/10.1007%2Fs11336-018-9616-y). *Psychometrika* 83:4 919--940.
<li> Polis, CB, CM Cox, \"{O} Tun\c{c}alp, **AC McLain**, ME Thoma (2017). [Estimating infertility prevalence in low-to-middle-income countries: An application of a current duration approach to Demographic and Health Survey data](https://academic.oup.com/humrep/article-lookup/doi/10.1093/humrep/dex025). *Human Reproduction*, 32:5, 1064--1074.
- [post](https://www.globalhealthnow.org/2017-02/estimating-infertility-conceiving-new-approach?utm_source=Global+Health+NOW+Main+List&utm_campaign=7421dbbced-EMAIL_CAMPAIGN_2017_02_15&utm_medium=email&utm_term=0_8d0d062dbd-7421dbbced-858767&utm_source=IHP+Newsletter&utm_campaign=1e8a5fbcbc-EMAIL_CAMPAIGN_2017_02_17&utm_medium=email&utm_term=0_14504ce43d-1e8a5fbcbc-298052537) by *Global Health Now*, [post](http://sph.umd.edu/news-item/dr-thoma-verifies-cost-effective-approach-generate-infertility-estimates) by University of Maryland School of Public Health and [post](https://www.sc.edu/study/colleges_schools/public_health/about/news/2017/infertility_prevalence.php#.WY3cna3MwUE) by the University of South Carolina Arnold School of Public Health.
- Honorable mention for the [Winners of the Untold Global Health Stories of 2019](https://www.globalhealthnow.org/2019-03/winners-untold-global-health-stories-2019-announced?utm_source=Global+Health+NOW+Main+List&utm_campaign=4f36c206bf-EMAIL_CAMPAIGN_2019_03_08_02_02&utm_medium=email&utm_term=0_8d0d062dbd-4f36c206bf-2808677).
<li> **McLain$^ c$ AC**, R Sundaram, and GM Buck Louis (2016). [Modeling fecundity in the presence of a sterile fraction using a semi-parametric transformation model for grouped survival data](http://smm.sagepub.com/content/25/1/22?etoc). *Statistical Methods in Medical Research* 25, 22--36.
<li> Mulatya$^s$ CM, **AC McLain**$^{\divideontimes c}$, B Cai, JW Hardin, PS Albert (2016). [Estimating time to event characteristics via longitudinal threshold regression models -- an application to cervical dilation progression](http://onlinelibrary.wiley.com/doi/10.1002/sim.7031/full). *Statistics in Medicine* 35, 4368--4379.
<li> McMahan, C, **AC McLain**, C Gallagher, and E Schisterman (2016). [Estimating covariate-adjusted measures of diagnostic accuracy based on pooled biomarker assessments](http://onlinelibrary.wiley.com/doi/10.1002/bimj.201500195/abstract). *Biomedical Journal* 58:4, 944--961.
<li> Zhou$^s$, J, J Zhang, **AC McLain** and B Cai (2016) [A multiple imputation approach for semiparametric cure model with interval censored data](http://www.sciencedirect.com/science/article/pii/S0167947316000220). *Computational Statistics and Data Analysis* 99, 105--114.
<li> Cipolli$^s$, W, T Hanson, and **AC McLain** (2016). [Bayesian Nonparametric Multiple Testing](http://www.sciencedirect.com/science/article/pii/S0167947316300421). *Computational Statistics and Data Analysis*, 101, 64--79.
<li> **McLain AC**, R Sundaram, and GM Buck Louis (2015). [Joint analysis of longitudinal and survival data measured on nested time-scales using shared parameter models: an application to fecundity data](http://onlinelibrary.wiley.com/doi/10.1111/rssc.12075/abstract). *Journal of the Royal Statistical Society: Series C* 64, 339--357.
<li> Cummings$^s$, T H, J W Hardin, **AC McLain**, J R Hussey, K J Bennett and G M Wingood (2015). [Modeling Heaped Count Data](http://www.stata-journal.com/article.html?article=st0388). *The Stata Journal* 15, 457--479.
<li> Sapra$^s$, KJ, **AC McLain**, JM Maisog, R Sundaram, GM Buck Louis (2015). [Clustering of retrospectively reported and prospectively observed time-to-pregnancy among women in a preconception cohort](http://www.sciencedirect.com.pallas2.tcl.sc.edu/science/article/pii/S104727971500160X). *Annals of Epidemiology* 25, 959--963.
<li> **McLain$^ c$ AC**, R Sundaram, M E Thoma, and G M Buck Louis (2014). [Semiparametric modeling of grouped current duration data with preferential reporting](http://onlinelibrary.wiley.com/doi/10.1002/sim.6216/full). *Statistics in Medicine*, 33:23, 3961--3972.
- [Featured article](https://onlinelibrary.wiley.com/toc/10970258/2014/33/23) of the October 2014 issue of Statistics in Medicine.
<li> **McLain$^ c$ AC** and Albert P (2014). [A random-effects model for longitudinal data with random change-point and no time zero: an application to modeling and prediction of individualized labor curves](http://onlinelibrary.wiley.com/doi/10.1111/biom.12218/abstract). *Biometrics* 70 (4), 1052--1060.
<li> **McLain$^ c$ AC** and Ghosh S (2013). [Efficient sieve maximum likelihood estimation of time-transformation models](http://www.tandfonline.com/doi/abs/10.1080/15598608.2013.772835). *Journal of Statistical Theory and Practice,* 7, 285--303.
<li> Thoma ME, **AC McLain**, JF Louis, RB King, AC Trumble, R Sundaram, and GM Buck Louis (2013). [The prevalence of infertility in the United States as estimated by the current duration approach and a traditional construct approach](https://www.fertstert.org/article/S0015-0282(12)02449-1/abstract). *Fertility and Sterility,* 99, 1324--1331.
- Link to corresponding news media on [Reuters](http://www.reuters.com/article/2013/01/11/us-couples-infertility-idUSBRE90A13Y20130111) or [Mommyish.com](http://www.mommyish.com/2013/01/14/infertility-statistics/) discussing the results.
- Recognized in November 2017 as one of the most highly cited articles in *Fertility and Sterility* since 2012 ([link](https://www.journals.elsevier.com/fertility-and-sterility/most-cited-articles)).
<li> Albert, P, R Sundaram, and **AC McLain** (2013). [Innovative applications of shared random parameter models for analyzing longitudinal data subject to dropout](https://link.springer.com/chapter/10.1007/978-1-4614-6871-4_7). In ISS-2012 *Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers*, pp. 139--156. Springer New York.
<li> **McLain$^ c$ AC**, K Lum, and R Sundaram (2012). [A joint mixed effects dispersion model for menstrual cycle length and time-to-pregnancy](http://onlinelibrary.wiley.com/doi/10.1111/j.1541-0420.2011.01711.x/full). *Biometrics* 68, 648--656.
<li> Sun W, and **AC McLain** (2012). [Multiple testing of composite null hypotheses in heteroscedastic models](http://amstat.tandfonline.com/doi/abs/10.1080/01621459.2012.664505). *Journal of the American Statistical Association* 107, 673--687.
<li> Sundaram R, **AC McLain**, and G M Buck Louis (2012). [A survival analysis approach to modeling human fecundity](http://biostatistics.oxfordjournals.org/content/13/1/4.abstract). *Biostatistics* 13, 4--17.
<li> **McLain$^ c$ AC**, R Sundaram, M Cooney, A Gollenberg, and G Buck Louis (2011). [Clustering of fecundability within women](http://www.ncbi.nlm.nih.gov/pubmed/21819427). *Paediatric and Perinatal Epidemiology* 25, 460--465.
<li> **McLain$^ c$ AC** and Ghosh S (2011). [Nonparametric estimation of the conditional mean residual life function with censored data](http://link.springer.com/article/10.1007/s10985-011-9197-x). *Lifetime Data Analysis* 17, 514--532.
</ol>
Last updated December, 2024.