Tie‐Hua Ng

405 total citations
16 papers, 274 citations indexed

About

Tie‐Hua Ng is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Tie‐Hua Ng has authored 16 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 7 papers in Management Science and Operations Research and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Tie‐Hua Ng's work include Statistical Methods in Clinical Trials (10 papers), Optimal Experimental Design Methods (7 papers) and Advanced Statistical Process Monitoring (3 papers). Tie‐Hua Ng is often cited by papers focused on Statistical Methods in Clinical Trials (10 papers), Optimal Experimental Design Methods (7 papers) and Advanced Statistical Process Monitoring (3 papers). Tie‐Hua Ng collaborates with scholars based in United States and Cyprus. Tie‐Hua Ng's co-authors include Carolyn A. Wilson, R.G. Cuddihy, Raymond J. Lipicky, H. M. James Hung, Kenny S. Crump, Y. H. George, Ronald H. Randles, Henry H. Hsu and Boguang Zhen and has published in prestigious journals such as American Journal of Epidemiology, Statistics in Medicine and Human Gene Therapy.

In The Last Decade

Tie‐Hua Ng

16 papers receiving 258 citations

Peers

Tie‐Hua Ng
Max Parmar United Kingdom
Nelson D. Holmquist United States
Putri W. Novianti Netherlands
Kaushik Ghosh United States
NM Hylton United States
Helen M. Moore United States
Grace Hsu Canada
Max Parmar United Kingdom
Tie‐Hua Ng
Citations per year, relative to Tie‐Hua Ng Tie‐Hua Ng (= 1×) peers Max Parmar

Countries citing papers authored by Tie‐Hua Ng

Since Specialization
Citations

This map shows the geographic impact of Tie‐Hua Ng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tie‐Hua Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tie‐Hua Ng more than expected).

Fields of papers citing papers by Tie‐Hua Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tie‐Hua Ng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tie‐Hua Ng. The network helps show where Tie‐Hua Ng may publish in the future.

Co-authorship network of co-authors of Tie‐Hua Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Tie‐Hua Ng. A scholar is included among the top collaborators of Tie‐Hua Ng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tie‐Hua Ng. Tie‐Hua Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Ng, Tie‐Hua. (2014). Noninferiority Testing in Clinical Trials. 2 indexed citations
2.
Ng, Tie‐Hua. (2014). Noninferiority testing in clinical trials : issues and challenges. Medical Entomology and Zoology. 6 indexed citations
3.
Zhen, Boguang, Tie‐Hua Ng, & Henry H. Hsu. (2011). Multiple-Stage Sampling Procedure for Lot Release with Consideration of Both Manufacturer’s and Consumer’s Risks. Drug Information Journal. 45(4). 469–480. 2 indexed citations
4.
Ng, Tie‐Hua. (2008). Noninferiority hypotheses and choice of noninferiority margin. Statistics in Medicine. 27(26). 5392–5406. 19 indexed citations
5.
Ng, Tie‐Hua. (2007). Simultaneous Testing of Noninferiority and Superiority Increases the False Discovery Rate. Journal of Biopharmaceutical Statistics. 17(2). 259–264. 5 indexed citations
6.
Ng, Tie‐Hua. (2001). Choice of Delta in Equivalence Testing. Drug Information Journal. 35(4). 1517–1527. 28 indexed citations
7.
Ng, Tie‐Hua, et al.. (1998). Optimal flexible designs in phase II clinical trials. Statistics in Medicine. 17(20). 2301–2312. 106 indexed citations
8.
Wilson, Carolyn A., et al.. (1997). Evaluation of Recommendations for Replication-Competent Retrovirus Testing Associated with Use of Retroviral Vectors. Human Gene Therapy. 8(7). 869–874. 32 indexed citations
9.
Ng, Tie‐Hua. (1995). Conventional null hypothesis testing in active control equivalence studies. Controlled Clinical Trials. 16(5). 356–358. 4 indexed citations
10.
Ng, Tie‐Hua. (1994). The impact of a preliminary test for interaction in a 2 × 2 factorial trial. Communication in Statistics- Theory and Methods. 23(2). 435–450. 4 indexed citations
11.
Ng, Tie‐Hua. (1993). A Specification of Treatment Difference in the Design of Clinical Trials with Active Controls. Drug Information Journal. 27(3). 705–719. 9 indexed citations
12.
Hung, H. M. James, Tie‐Hua Ng, Y. H. George, & Raymond J. Lipicky. (1990). Response Surface and Factorial Designs for Combination Antihypertensive Drugs. Drug Information Journal. 24(2). 371–378. 20 indexed citations
13.
Ng, Tie‐Hua. (1989). A new class of modified binomial distributions with applications to certain toxicological experiments. Communication in Statistics- Theory and Methods. 18(9). 3477–3492. 14 indexed citations
14.
Crump, Kenny S., Tie‐Hua Ng, & R.G. Cuddihy. (1987). CANCER INCIDENCE PATTERNS IN THE DENVER METROPOLITAN AREA IN RELATION TO THE ROCKY FLATS PLANT. American Journal of Epidemiology. 126(1). 127–135. 16 indexed citations
15.
Ng, Tie‐Hua & Ronald H. Randles. (1986). Distribution-free partial discrimination procedures. Computers & Mathematics with Applications. 12(2). 225–234. 3 indexed citations
16.
Ng, Tie‐Hua, et al.. (1983). Rank procedures in many population forced discrimination problems. Communication in Statistics- Theory and Methods. 12(17). 1943–1959. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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