Adams, S., Jobson, M., Sangnawakij, P., Heetun, A., Thaventhiran, A., Johal, N., Böhning, D. and Stanton, M.P. (2017). Does thoracoscopy have advantages over open surgery for asymptomatic congenital lung malformations? An analysis of 1626 resections. Journal of Pediatric Surgery. 52(2): 247-251.
*Sangnawakij, P., Böhning, D., Adams, S, Stanton, M. and Holling, H. (2017). Statistical methodology for estimating the mean difference in a meta-analysis without study-specific variance information. Statistics in Medicine. 36(9): 1395-1413.
**Sangnawakij, P., Böhning, D., Niwitpong S., Stephen Adams, S, Stanton, M. and Holling, H. (2019). Meta-analysis without study-specific variance information: Heterogeneity case. Statistical Methods in Medical Research. 28(1): 196-210.
Holling, H., Böhning, W., Masoudi, E., Böhning, D., and Sangnawakij, P. (2019). Evaluation of a new version of I2 with emphasis on diagnostic problems. Communications in Statistics - Simulation and Computation. 49(4): 942-947.
*Sangnawakij, P. and Niwitpong, S. (2020). Interval Estimation for the Common Coefficient of Variation of Gamma Distributions. Thailand Statistician. 18(3): 340-353.
**Sangnawakij, P. and Böhning, D. (2020). A simple test for the difference of means in meta-analysis when study-specific variances are unreported. Journal of Statistical Computation and Simulation. 90(14): 2524-2536.
Böhning, D. and Sangnawakij, P. (2021). The identity of two meta-analytic likelihoods and the ignorability of double-zero studies. Biostatistics. 22(4): 890-896.
**Böhning, D. and Sangnawakij, P. (2021). Count outcome meta-analysis for comparing treatments by fusing mixed data sources. AStA Advances in Statistical Analysis. 105: 75-85.
**Sangnawakij, P., Böhning, D. and Holling, H. (2021). On the exact null-distribution of a test for homogeneity of the risk ratio in meta-analysis of studies with rare events. Journal of Statistical Computation and Simulation. 91(2): 420-434.
Bohning, D., Martin, S., Sangnawakij, P. and et al. (2021). Nonparametric estimation of effect heterogeneity in rare events meta-analysis: Bivariate, discrete mixture model. Lobachevskii Journal of Mathematics. 42(2): 308–317.
Böhning, D., Holling, H., Böhning, W., Sangnawakij, P. (2021). Investigating heterogeneity in meta-analysis of studies with rare events: Estimating the amount of heterogeneity. METRON. 79: 259–272.
Sangnawakij, P. (2021). Confidence interval for the parameter of the zero-truncated Poisson distribution. The Journal of Applied Science. 20(2): 13-22.
Jonathan A. Polonsky, Dankmar Böhning, Mory Keita, Steve Ahuka-Mundeke, Justus Nsio-Mbeta, Aaron Aruna Abedi, Mathias Mossoko, Janne Estill, Olivia Keiser, Laurent Kaiser, Zabulon Yoti, Patarawan Sangnawakij, Rattana Lerdsuwansri, Victor J. Del Rio Vilas . (2021). Novel Use of Capture-Recapture Methods to Estimate Completeness of Contact Tracing during an Ebola Outbreak, Democratic Republic of the Congo, 2018-2020. Emerging Infectious Diseases. 27(12): 3063-3072.
**Bohning, D., Sangnawakij, P., Holling, H. (2022). Confidence interval estimation for the Mantel-Haenszel estimator of the risk ratio and risk difference in rare event meta-analysis with emphasis on the bootstrap. Journal of Statistical Computation and Simulation. 92(6): 1267-1291.
**Sangnawakij, P. (2022). Regression-in-Ratio Estimator and Confidence Interval for the Population Mean for Data with Outliers. Science & Technology Asia. 27(2): 42-57.
R Lerdsuwansri, P Sangnawakij, D Böhning, C Sansilapin, W Chaifoo, J A Polonsky, V J Del Rio Vilas. (2022). Sensitivity of contact-tracing for COVID-19 in Thailand: a capture-recapture application. BMC Infectious Diseases. 22(1): 1-10.
Holling H., Jansen K., Böhning W., Böhning D., Martin S., and Sangnawakij P. (2022). Estimation of effect heterogeneity in rare events meta-analysis. Psychometrika. 87: 1081–1102.
Sangnawakij, P. (2022). Profile Likelihood-Based Confidence Interval for the Standard Deviation of the Two-Parameter Exponential Distribution. Lobachevskii Journal of Mathematics, 43(8): 2036-2047.
Böhning, D., Sangnawakij, P., Holling, H. (2023). Estimating risk and rate ratio in rare events meta-analysis with the Mantel-Haenszel estimator and assessing heterogeneity. International Journal of Biostatistics, 19(1): 21-38.
Böhning, D., Lerdsuwansri, R., Sangnawakij, P. (2023). Modelling Covid19 contact tracing using the ratio regression capture-recapture approach. Biometrics, 79(4): 3818-3830.
ธนกฤต เตียวพงษ์พันธุ์ และ ภทรวรรณ แสงนวกิจ. (2566). ช่วงความเชื่อมั่นสำหรับค่าเฉลี่ยประชากรของการแจกแจงเรย์ลีย์: กรณีศึกษาความเร็วคลื่นเฉือนของดินในประเทศไทย (Confidence interval for the population mean of Rayleigh distribution with application to shear wave velocity of soils in Thailand). Journal of Applied Science and Emerging Technology. 22(3): 1-9.
Sangnawakij, P. (2023). Alternative confidence interval estimation for the mean and coefficient of variation in a two-parameter exponential distribution, Journal of Statistical Computation and Simulation, 93(16): 2936-2955.
Sangnawakij, P. and Böhning D. (2023). Statistical inference on mixed one-and two-armed studies in meta-analysis without study-specific variance. Biostatistics & Epidemiology, 7:(1) 1-21.
Sangnawakij, P, Anlumlert, W. (2023). Alternative confidence interval for variability parameters in the normal distribution with applications to stock exchange index data set. Austrian Journal of Statistics. 52(5): 63-81.
Sangnawakij, P., Böhning D., Holling, H., and Jansen, K. (2024). Nonparametric estimation of the random effects distribution for the risk or rate ratio in rare events meta-analysis with the arm-based and contrast-based approaches. Statistics in Medicine. 43(4): 706-730.
Sangnawakij, P. (2024). A simple profile likelihood-based confidence interval for the risk ratio in rare events meta-analysis. Thailand Statistician. 22(2): 312-327.
Sangnawakij, P. and Böhning D. (2024). On repeated diagnostic testing in screening for a medical condition: How often should the diagnostic test be repeated? Biometrical Journal. 66(3): 1-16.
Sangnawakij, P. and Sittimongkol, R. (2024). Heterogeneity measure in meta-analysis without study-specific variance information. Lobachevskii Journal of Mathematics. 45: 825-838.
Sangnawakij, P. (2025). On estimation of the population mean in a two-parameter Rayleigh distributed variable with applications to environmental studies. ScienceAsia. 51: 1-13.
Sangnawakij, P. (2025). Parametric and Nonparametric estimation of population mean in Poisson-Xgamma distribution with Applications to count data. Journal of Current Science and Technology. 15(2), 1-16.
Lerdsuwansri, R., Pijitrattana, P., Sangnawakij, P., Lanumteang, K., Maruotti, A., Friedl, H., & Böhning, D. (2025). Identifying one-inflation in regression models for ratio estimators in single-source capture-recapture problems. Journal of Statistical Computation and Simulation, 1-21. https://doi.org/10.1080/00949655.2025.2524773